September 19, 2025 • 42 mins
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I sat down with Flo Crivello, founder of Lindy, and this one really opened my eyes. We talked about the latest Lindy 3.0 release, how AI agents can now handle full workflows end-to-end, and why this is the right time to start building with them. Flo shared some wild examples of people using Lindy to run customer support, generate leads, and even negotiate deals. We also dug into how you can start an AI automation agency with Lindy AI and turn these tools into real businesses. It’s clear we’re still super early, and the opportunities here are massive.
You can find Flo and Lindy here:
Flo on Twitter/X: @Altimor
Flo on LinkedIn: Florent Crivello
Lindy on Twitter/X: @getlindy
Enjoy!
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
This is a service you could offer for a monthly fee just
using Lindy on the back end. It's so easy to create AI agents
it's almost addictive. It's literally just your type
worlds and just does it for you.You can have the entire flow
completely end to end managed byAI agents.
There's a dozen Silicon Valley companies right now raising 10s
of millions that are basically just that agent.
People underestimate how early it is.
(00:20):
The capabilities that we're talking about today are
literally 30 days old. There is an immense opportunity
for these AI agencies. The people that I've spoken to
that want to start an AI automation business, they're
getting tripped up because they're not technical.
I'm not technical, but I feel like this removes that friction.
There is no excuse anymore not to use the agents.
The sooner you act, the more you'll be ahead of your peers.
(00:41):
I've said it before and I will say it again, that one of the
biggest opportunities I see right now is that of starting in
the AI automation agency where you insert yourself into small
to medium sized businesses and use very cheap, very easy to use
tools to automate certain processes that these businesses
use. And you charge between $505,000
a month or you charge 3 to $5000one time and two to $700.00 a
(01:04):
month ongoing. So one month ago, Lindy which is
an AI automation platform, came out with an update that enables
anyone to create AI agents with one prompt.
And this is game changing technology.
There is a massive opportunity to be the expert in the room for
these business owners that know they need to be using AI but
have no idea where to start. So without further ado, please
(01:24):
enjoy. We use a couple acronyms in here
that some people might not understand.
The first one is NANN, then the number 8, then N, which is a
somewhat technical AI automationplatform that you really need
some base level of technical knowledge to use.
So we contrast that with Lindy. And then the other acronym is
STR Sales Development Representative, AKAA Salesman.
(01:45):
We just released Lindy 3 point Othat's like the biggest update
in our history as a company. And it's the three big updates
are one like you can now collaborate with your team on
Lindy, like invite your team members and share your agents
and so forth. But most importantly is that two
really big things that we're really excited about the agent
builder. So like now you can create an
(02:06):
agent from just a prompt. You literally just like type
wheels on your keyboard and you're like, this is what I want
to automate. I want to automate my customer
support, my content generation for marketing, my like lead
qualification and whatnot. And just literally from just a
prompt like creates the agent for you and computer use, which
is the idea that your agents cannow use their own computer in
(02:29):
the cloud. Like they have like a, if you
will, like a virtual mouse and avirtual keyboards that they can
use. So that means that agents are no
longer limited by the MCPS or like the integrations that they
have access to. Like as long as this is a tool
that is accessible from a web browser, that is something that
your agent is going to be able to use, even if it's like an
(02:49):
internal tool of yours, right? So we have an entire teams right
now using Indeed, for example, to automate their customer
support and have internal tools to like issue a refund.
And until now these guys were blocked.
They were like, ah, like we really want to use AI agents,
but like we don't have an API for like these internal tools
and we don't have the bandwidth to build them.
And now they're actually deploying these AI agents really
(03:10):
quickly because these AI agents can just log in and use their
internal tools using just using just like a my IS and keyboard.
Those are the two very, very bigthings that have changed.
OK, that's incredible. So basically with a vibe coding
tool with one prompt, you can create a web app or a website.
Cool with this. With one prompt, you can create
an agent that will respond to all of your customer service
(03:32):
inquiries. Now, it can't be too broad,
right? It it needs to learn and know
how to respond to certain inquiries.
But if my prompt were to say every time I get an e-mail to
support@chrissemail.com that says I want a refund, please
issue them a refund, right? It would that be a a use case
like please go into Stripe issuethem a refund.
(03:53):
That's exactly right. Yeah.
So this is an example. I use Lindy to manage my
personal CRM. So it's more like a, a work like
slash personal example. Like I meet people every day and
like I, I want to keep track of them.
And so I want to be able to go on Lindy and be like, hey, I
wanna, I met this guy, you know,he's an investor, for example.
And then I want to be able to goback to Lindy at any point.
(04:14):
And I want to be able to ask like who are the investors that
I know? So I, I just sent you the
prompts like help me manage my personal CRM.
And then it clarifies the plan that it came up with.
And it's like, OK, so like if you're asking me to add a
contact, I'm going to add a row to a Google Sheets.
And if you ask me to retrieve a contact, I'm going to get the
data from the Google Sheets and I'm going to give you the
(04:35):
response like, is this what you want me to do?
So it, it clarifies, it asks youdisambiguating questions.
And then I say yes. And it creates the agent.
And in a matter of seconds, I have this agent here on the
right. Wow, add a contact.
This is this. And if I want to retrieve your
contacts, this is that. It's actually funny.
Right before this, I was on another podcast with Eric's Hue.
(04:56):
I don't know if you know him. And he was like, oh, like, hit
me up next time you're in LA. I'm based in San Francisco.
He's based in LA. And I just went to my Lindy and
I was like, hey, add Eric's Hue AI influencer hit up when he's
in LA. So there is another prompt that
I sent to this Lindy after this video where I was like, hey,
also detect when I'm flying somewhere by intercepting the
(05:17):
flight confirmation e-mail from my inbox.
And when I fly somewhere, tell me who I need to meet up there.
So you see here, it's set up this workflow.
That's like, OK, if you receive an e-mail that's let me right
here. If you receive an e-mail that's
about the flight, then I'm gonnaget your spreadsheet and I'm
gonna send you an e-mail with who you should meet there.
So you use Google Sheets as yourpersonal CRM?
(05:38):
Well, I think that's the beauty of AI agents is like, yeah, now
you just, I just need like a dump data source and all of the
intelligence on top of that and all of the interface on top of
that is just agents. Yeah, no, I'm asking because I
love that because I use everything in Google Sheets and
I try to eliminate all these other random softwares.
But how could we create that with a prompt like specifically
(06:00):
the agent to any time you see a flight, log it and then anytime
I ask you, you know, who's in this area, you'll automatically
know so I can know who to visit.How could we create that one?
It's literally just a prompt. Like when you log into Lindy,
there is this text box here. You can either like type your
prompt in here or you can like press the mic button to dictate
it. We actually recommend dictating
(06:21):
it because you can give a lot more details when you dictate
and you would be surprised. Like you can ramble, you can say
anything you want and agents areactually really good of at
making sense of of what you said.
And so you just do that, you prompt it, and then like a
minute or two later, you get youget an agent.
Before Lindy 3 point O, if I wanted to do the same thing, I
kind of had to know these tools and I kind of had to know how to
(06:44):
drag and drop and tie it together and get the API key.
And now you don't have to. You just removed all the
friction. That's exactly right.
There is no excuse anymore not to use AI agents.
Like, yeah, you know, we've really gone through that journey
of like, at first you had to be an engineer.
Like if you're an engineer, likeit's a great tool to use, then
we build this no code platform. And so you don't have to be an
engineer anymore, but you still have to learn the tool and ain't
(07:07):
nobody got time for that, right?Like you just, you just want to,
you just want to do your job. And so now it's literally just
your type wheels and just does it for you.
And if it and if you want to iterate on it, you'd send it
another prompt and you're like like this is not exactly how I
want it and it's just going to get to do it better.
Yeah. How much time do you spend
looking at what people are doingwith Lindy 3 Point O, seeing how
(07:27):
they're using it? Is that a big part of your day
or does your team manage that? Well, I mean, I, I talk to users
all the time and I look at data as well.
So I think it's important to have that like forest view and
that like tree view. We also look at like the
breakdown of like the kind of tasks that people ask.
But yeah, I mean, I keep my yield very close to the to the
ground for sure. What kind of patterns are you
(07:48):
seeing and is anything surprising you?
Last night I was looking at a Lindy that a customer sent me
and he was like, hey, like he was actually proud of it.
He he sent it in our Lindy community.
I recommend everyone checks it out.
We have like a really vibrant slack community with like
thousands of members and he DMV to me he's like, ah, check out
this video. I'm really proud of it and it's
like, OK, I looked into it and Iwish I could show my screen.
(08:11):
I don't want to like violate this person's privacy.
This is by far the most insane Lindy I have ever seen.
It's like 400 nodes like those. We call nodes like 400 nodes
like you just. Like, wow.
Yeah, you just keep and keep andkeep going.
And the guy just like locked in and he built 80% of it using the
(08:31):
prompt to agent that I mentionedand 20% of it by like tweaking
it across like manually. And he basically built, it's
sort of like an SDR, like it's an indie that like, fully
autonomously, not only like finds leads online, enriches
them, qualifies them, like, decides who to actually engage
with, researches them, sends them a personalized e-mail and
(08:51):
then engages in an insane back and forth with them.
Like, if people say they're not interested, it asks them why.
It it handles objections, It learns from the objections.
It AB tests the the emails and the subject lines.
It's like, oh, my, like, and there's like, yeah.
And now I can just write it and it's like, it's like a sales
force for me. I have been surprised at how
people like, get sucked in and like, they get into it.
(09:13):
Once you make it so easy to create a agent, it's almost
addictive. Like there are there's a dozen
Silicon Valley companies right now raising 10s of millions that
are basically just that agent AISDR Yeah, like that's all the
rage right now. And for those listening, sales
development agent like just AI sales through e-mail in this
case, right? Yeah, like there are a whole lot
(09:34):
of startups that do AISDRS and like, you know, we have this
meme internally. It's like hashtag should be a
Lindy. So we see a lot of startups and
well, like should be a Lindy. That's exactly what I'm talking
about. Yeah, no, exactly.
It's kind of like the, there is an app for that.
It's like should be a Lindy. I think like the advantage of of
using a platform like Lindy and we held that all day from our
customers is like you have a single pane of glass where you
(09:55):
can manage all of your agents and then also like a single
place where your agents can collaborate.
I think you're really in luck with the magic.
Once you have your agents work together, which you can do, then
you can almost like modularize your agents.
You can create agents that are specialized in certain tasks and
you can get them to like talk toeach other and, and collaborate
with each other. And in the end, it's going to be
(10:16):
more powerful. It's going to be cheaper and
it's going to be easier to manage for you to have like one
single platform where you can doall of that and have like 20
different logins and platforms that you have to learn and and
subscriptions to manage for eachof your use cases.
I'm thinking of like what this use case could be for the AISDR
specifically if you are an employee or a business owner,
(10:37):
Let's say you're an employee that's just sells Salesforce
software, right? And I go permissionlessly as
just an enterprising entrepreneur on behalf of you,
an employee selling Salesforce making good money presumably,
and I go find a bunch of potential clients.
I go create an AI sales development agent in Lindy and I
(10:59):
go start emailing, just cold emailing.
Not just cold emailing, but having these automated
conversations back and forth with people, right?
And then a small percentage of them come down the funnel and
they're like, let's hop on a call.
OK, so you get it all the way tothat point.
And then if you reach out to theSalesforce Rep and say, hey, I
have a really hot lead for you, it's this guy that works in this
(11:19):
company, yadda, yadda, yadda. I'm guessing it's going to be
worth 4000 MRR to your company, which is worth XY or Z, you
know, commissions to you. How much would you pay me for
this lead? You're not just like selling a
dream. You already have it, right?
And now he's interested. Now you have his attention and
your chance of getting a reply to that cold e-mail verse.
Hey, I help Salesforce reps get more leads.
(11:41):
Can we help on a call? Like your chance of getting
reply to that is like half a percent your chance of getting
reply to you know, here's a lead, here's the whole
conversation. Here's his name, phone, e-mail.
Take it, steal it. It's all yours.
What's your chance of getting reply to that conversation?
100% We have a recruiting firm that we're working with that's
leveraging agents for a use caseactually very similar to the one
(12:03):
that just laid out. Like what they do is that they,
they do send these outreach to people, but what they do is that
they look at the list of job descriptions that the company
has on his career page. And so they're like, oh, you're
looking for like software engineers who know React and
TypeScript and, and like have minimum X years of experience
(12:24):
and all based in San Francisco, CA.
So they collect all of these requirements, but they have the,
to clarify, this is the agent that like they've set up.
So they've set up this agent that does that.
Like it collects a bunch of likecompanies that are hiring, it
looks at their open positions, it collects the requirements and
then it goes on LinkedIn and finds people that satisfy these
(12:44):
requirements and then it sends in the e-mail.
At least it's like, hey, we saw you were hiring including
software engineers. This is an example of like 3
leads that we found and we have their e-mail address.
We can reach out to them. Three leads that we found that
satisfy your requirements. We've got 1000 more like those.
If you, if you say yes, like I can send the contract and we can
be, we can be reaching out to them like today, like in an hour
(13:07):
and they're ripping it. Like these guys are just like
crashing it. They're getting so much response
from this e-mail because to yourpoint, it's like it's, it's so
much more engaging and you're bringing so much more value to
the table through these emails and through just like a
generate, like, hey, do you wantto work with us for recording
e-mail? Yeah, because sales like this
brings sales from here's what I can do for you to here's what I
(13:27):
just did for you. I love that customer.
I love that exactly. Yeah.
Oh man, we might have talked about like a, a version of this
idea on our last episode, but just imagine if I had a Facebook
ads agency, right? I charge $2500 a month to any
company in the world to manage their Facebook ads, right?
You could with one prompt, right?
(13:48):
Might need follow up prompts, but you can get the, you know,
the skeleton for this in one prompt.
Say, hey, I want you to go to the meta ads library and I want
you to cross reference with LinkedIn.
And I want you to find me e-mailaddresses for decision makers at
any company that has an active ad in the US on Meta ads
library. And then I want you to send them
an e-mail, a customized e-mail that says, what are you doing?
(14:12):
You only have 4 creatives on your meta ads right now.
Did you know that? You know, companies that have 40
creatives or more have a 30% drop in return on ad spend or,
or increase on return on ad spend.
I can do that for you. Like and full transparency, I
use AI for my creatives so that's not a bad thing.
That means you can get 10X the creatives for 30% less cost.
(14:36):
When can we chat? You could go further than that,
like you could have the. AI agent like.
Search, I mean, this is great. I love that, right?
Just like rethink here, like youcan have the AI agent also
research the competitors of thiscompany, research Facebook ads
that these competitors have running and tell the person and
I love the framing that you justput together.
It's like, it's no longer like, here's what I can do for you.
(14:57):
It's like, here's what I did foryou.
It's like, hey, I researched your competitors.
Start crushing it. These are the five best, best
performing ads. Then you add the screenshot in
the e-mail. By the way, I've all the
creative these ads for you. This is the creative that I've
created. It's like using the same idea,
the same concept for the ads, but with your brand and your
company and your product. If you just say yes, I'm going
to spin them up on your, on youraccount, right?
(15:19):
So yes, because EI agents have lowered the bar so much and
because they can make it so easyfor you to do this work at a
high volume before you've signedthe customer, you can deliver
the value before you've signed them.
I just like, I'm no offense. I'm having a hard time even
listening to you because my mindis just buzzing with other
prompt ideas right? Hey Lindy, go to Instagram and
(15:42):
find me AUS based influencer with at least 50,000 subscribers
that doesn't use like a link tree or anything, right?
And then send them this message.Hey, I noticed you don't use a
link tree. Oh, then you go to Lindy in a
different window and say, Hey, build me a link tree competitor
with your vibe coding tool, right?
And it's like, OK, hey, FYII have a free link tree
competitor. Don't pay link tree 20 bucks a
(16:04):
month. Use mine.
You have 50,000 subscribers. You should be selling T-shirts
or newsletters or something in there.
Use this right Go and it just itstarts sending.
When I it's funny, I literally have open right now.
Let me share my screen with you,a Lindy that I created to do
basically exactly what you just said.
So it's like, hey, like this is like, hey there, I'm ready to
build you like a laser targeted list of influencers.
(16:27):
Like what are you looking for? And I said like, I want 20
influencers on YouTube with 20,000 to 40,000 subscribers
into the productivity and AI space.
And you can see like I made a typo here.
I said AI space, but AI agents are awesome.
Like they don't care about typosand it's going online.
It's using a bunch of tools, It's doing a ton of publicity
queries. It's doing a lot of research.
(16:47):
It's like looping through all the people it's found.
If you look here, just going to open a new tab.
This is how the flow is set up in the background.
I didn't have to set this up. This was set up from just a
prompt. And you can see here for each
influencer that it's found, it'sgoing to scrape their YouTube to
like find like the videos that they that they have and to
understand the influence or better.
(17:07):
And he's going to look for theire-mail address.
He's going to do all of that stuff.
And then it's like, oh, hey, I found these people for you.
So this is the focus, self development, Wellness,
productivity. This is their e-mail.
This is the partnership contact.Look, this guy already has like
strong brand partnerships with Opus and Hagen.
Oh my gosh, no. 100% like what what the use case can.
(17:28):
Ask it to do that. Yeah, absolutely.
Yeah, you asked it to go a step further and find the brand
partnerships that they have. Yeah, in the original prompt
when we said. That well.
I don't know if we said that exactly this way.
I think we just said like, Hey, find us details about this
person and like you can see he'sgot like a bunch of scrape.
He was like, all right, I'm gonna scrape the Tik toks, the
Linkedins, the YouTube, their Instagram, their Twitter.
(17:50):
And and when he does that, it all defines all of this
information by default. Man, RIP to our inbox like cold
emails, they're just. Well, then you really go one
step further and you, you set upa Lindy to help you manage your
inbox. And so we've already had
actually, because that's, it's funny, actually, we have that a
lot. We have like brands, in
particular e-commerce are like CPG brands, like Consumer
(18:12):
Packaged Goods brands that are using Lindy for this, for like
influencer outreach to like promote their brand.
Then we also have influencers and I, I wish I could say who,
but some, some extremely large and famous Youtubers are using
US because these guys, you know,and, and I'm sure you know, you
know, you're harassed by offers for sponsorships in your inbox.
(18:33):
Every day. And so these guys that have
agencies that they actually pay a lot of money and all of these
agencies do all day is they intercept these emails
basically. And then they, they, they
archive like there's a lot of randos and like unserious people
in there. And then they engage with
serious people in serious brandsthat actually have money and
they negotiate a deal. They're like, hey, you know, Bob
(18:56):
can work with you. Just a heads up, like every
video is $100,000 or whatever. Not just one, but multiple
really, really big and famous like YouTube influencers right
there using US in this context. The funny thing is that we have
actually all the had instances of these two Lindies talking to
each other. So like a brand reach out to
this influencer using Lindy and this influencer also Lindy
(19:16):
engaging with that Lindy to negotiate the deal.
How do you know that's happening?
Because we were wondering, well,this influencer, do you think
they're gonna be in touch? And so we set a reminder to
check a month later and we looked into our database and
sure enough, the tool Lindy is gonna in touch with each other.
It's funny I'm laughing because I have a Lindy for that exact
same use case cuz I get these spammy emails.
(19:37):
Let me sponsor your channel and I just respond to them with like
a number that's way way too highcuz usually I just delete them.
I love that I'm archive them. So it's just like I'm either I
ignore it or I'll just give thema stupid number and see what
they say, you know? A suggestion.
Then you could go again once thepills are and like as you all
fill a Nimbil. You could also research the
brand first, right? And so you can reply with a
(20:00):
number, but with the way that's just like a tiny bit Voltaire,
you could be like, hey, by the way, our audience is quite
aligned with who you seem to be sending to.
Yeah, yeah. Do you offer like a white
labeling service? We don't know.
Like all brands. All brands is an indie.
Yeah, well, it depends. What do you mean by white
labeling service? I'm just picturing like Chris's
(20:20):
roofing automations.com, right? And I start a business that's
basically just Lindy White labeled and I go into roofing
companies and say I can automateany of your processes and save
you $30,000 a month, yada, yada,yada.
Is that like a growth opportunity for you guys?
100% So like we don't feel like white labeling per SE, but like
we do one like we do let you deploy a chatbot on your website
(20:43):
that's like hey, like it's like an AI chat bat.
So like that's one thing, but those are what you just
described like AI agencies. And I think we talked about that
the last time you and I talked like AI agencies are huge right
now. And like, look, you know, like
we do have this new prompt to agent product, but it's still
not as good as a human. Like you're still going to need
consultants for, to like really understand how you can deploy
(21:05):
this in your business. And like it still takes time to
build these agents. Like even if you no longer need
the expertise to do it, you still, it still takes time.
I do think there is an immense opportunity for these AI
agencies and we have a couple ofAI agencies that we're working
with that are like extraordinarily successful and
and growing super fast right now.
We talked about that in June. Is there any update there like
how people are using Lindy to make money and like what does
(21:28):
their pricing look like, how arethey finding customers,
etcetera? So I think that's the beauty of
these agencies is like each of them is an expert in their own
vertical and each of them has their own existing network.
So like some of them sell like sales services, like AISDL
services, if you will. Some of them sell to like
healthcare companies, like we have one that like interestingly
(21:48):
enough sells to like dentists and they were just really
specialized in like, hey, I knowhow to automate your back office
as a dentist. Apparently dentists like they're
still running like extremely antiquated software and you can
automate so much of that using AI agents.
So you know, what I recommend topeople is like the value that
you are delivering as the AI agency is that you are bridging
(22:09):
your expertise in the technical product like India.
Like, you know how to set up andmonitor these AI agents and your
expertise in any given business or any given area.
And I think people consistently underestimate the value of their
expertise in the latter. They sort of take it for
granted. Like everyone knows about that.
This is like no man actually, like in a really interesting
(22:30):
niche right now. And don't underestimate how few
people live in this intersectionof these two things.
Like many people know about the agents, many people, some people
at least know about like AI, like dentists, and like the
software issues and back office issues that they're having.
Few people leave in the intersection of those two.
And when you do like you can, you can deliver a lot of very
differentiated value. Yeah, well, a lot of times
(22:52):
people like like you and I, or people that are playing around
with these AI tools are just hanging out on Twitter and on
Indie Hackers and talking. They're in an echo chamber, in a
bubble, and so that's why they write off their skills.
But if they go out in the real world, just go to church or a
friend's house and talk to people about this, they don't
know anything about this. They don't even know what an AI
agent is like. I go hunting every November with
(23:14):
some buddies from my MBA programand they're all about my age.
They're not really on Twitter, but they're working
professionals, white collar guysmaking good money.
And I talk, I'll talk to them about crypto or AI or whatever,
and they're like, it's way over their head.
Like you'd think they're 86 years old living in Topeka, KS.
No offense to anyone in Topeka, KS, but they just don't know.
(23:37):
Twitter is a bubble like Tech isa bubble.
I think people underestimate howearly it is.
It is just so so so early. Well, 0.1% of the way there.
Is N8 N as valuable today as it was a couple months ago before
this update? I'll leave it to the web shows
to decide. I think if you are a really
technical person, like an engineer basically is who Nat
(23:58):
and K, those two, and I'm not throwing shade at them.
This is where they have their roots and I think this is
awesome. It's like an open source product
and all of that stuff. But I think if you are easily
like not an engineer, like you're not that technical and
oh, you are. And we have a lot of people, you
know, in our customer base who are like, I can use other more
technical products, but I just don't want to, I just want to
(24:20):
solve a problem, you know, I think you are in need for a less
technical, easier to use solution and, and that's what we
focus on. Yeah, I'm not about to say that
NAN is going to be hurting or going out of business.
Like they're on a tidal wave, right?
AI is a tidal wave and there's alot of room for everyone.
But I look at it as like Zapier and make, right?
Zapier is user friendly, Make isnot.
(24:41):
Make is cheap, Zapier is expensive.
It's more for technical people and Zapier is not.
I look at it like that. I know a guy that his whole like
his whole business is using N8N and like hundreds of customized
complex N 8 N templates to help people start AI automation
agencies. And you know, so he'll train
someone to go into a plumbing company and use N8 N templates
(25:05):
to, you know, be like a virtual receptionist virtual.
I just don't see, and maybe I don't understand N 8 N well
enough. I don't see why N 8 N would be
necessary for something like that when you can just you could
just prompt it in Lindy. Yeah, yeah, yeah.
And not only that, you know, notonly can you just prompt it with
media, like once you've promptedit is the flow editor that we
(25:28):
show you is still like 100 X easier to use than NA10.
Like if you want to set up an AIagent with NA10, you have to
also set it up with like a memory.
You have to tell it what day it is, right?
You have. And like the memory options that
you are given include like huge rent vector stool, which again
speaks to like how much of A technical solution that is,
(25:49):
right? Well, as with Lindy, it's
literally just like you click the agent button and you enter
your prompt and that's it. If I were to help a plumbing
business or a small business, you know 100,000 to 10 million
in revenue, automate some of their processes, right?
Clocking in, clocking out, software stuff, HR stuff,
e-mail, answering the phones. Is there anything that you can
(26:09):
think of that NN like you have to use something like NN4 that
Lindy 3 point O would not work for?
No, we've never run into a case where we were like, ah, you
can't do this. You should probably use another
solution. Like look at at the end of the
day, this is like a, a nerdy term that engineers use.
Like, and I said that as an engineer myself, like all of
(26:29):
these platforms are Turing complete, right?
And Turing completeness is basically this concept of like,
it's a universal computer. It's a universal platform that
can do anything that any other computer and Turing complete
universal platform can do. All of these platforms are
Turing complete, including us, including in it, and including
everything else. So like, no, you can't.
You can definitely do do the same things.
I think it's just way easier to do it with Lindy.
(26:51):
OK, forget the plumbing example.Is there anything that Lindy 3
point O can't do that you reallyneed N8 N for?
Like anything complex, somethingthat's just too technical for
Lindy. I can't think of a single thing.
No, again, it's, it's really more about, let me think they
have something features like MCP, right?
That like we don't support yet. So like and you would need, you
(27:11):
would need to like hack your wayaround like you can set up MCPS
in India, but it's not as friendly.
And so it's not like you can't do it.
It's like there are certain things that very technical users
want that are easier for you to do in other solutions.
And explain to the listeners andas simply as you can what an MCP
is. And MCP is the equivalent of a
USB port for AI agents. It's just a universal connector.
(27:34):
It's a protocol to connect AI agents with tools and your tools
being like your Gmail. Like in API but for AI?
Sure, and it allows you to have like an LLM on locally right?
On your own device or server. I wouldn't say that like it's
USB port like yes if you want you can use it for your own LLM
like but like you can also have your own LLM on your own server
(27:56):
and not have MCP. That's a game changer because
the people that I've spoken to that want to start an AI
automation business, they're getting tripped up by N&M
because they're not technical. I'm not technical.
That's not a drag on them, right?
They're just not technical. And so it's like, how can I
teach a plumber how to do this when I can't do this?
Yeah, but I feel like this removes that friction.
No, 100%, yeah. And I, I think that again,
(28:17):
that's the whole thesis behind the company, right?
It's like AI agents are awesome and you shouldn't have to be an
engineer to leverage them. Business users should be able to
build AI agents because they have the business knowledge and
that's where the value lies, right?
And so if you have that layer ofindirection between the guy who
has the business knowledge on the one hand and the guy who has
(28:38):
the technical knowledge on the other hand, now it's like the,
the iteration loop is so much longer because every time you
want to make a change, you got to go through the engineer and
he's going to take a day to answer to your e-mail, and he's
going to take a day to make the change.
And three days later, you're going to have your change.
And it's not exactly what you wanted.
And so if you want to make 5 changes, it's going to take you
a month. Well, as if you, as the person
who has the business context, can make these changes yourself
(28:59):
just by prompting, then you can have the deterioration.
Look again, you can have your solution in that afternoon.
Oh. Man, I'm just thinking of
websites, you know, like how long were websites in like the
old age, like in the 90s and 2000s where you had to code, you
had to know HTML to build a website.
And then, you know, tools like Squarespace and Wix came out and
it made it easier. But there's still a lot of
(29:20):
people making a lot of money building, you know, websites for
others on Squarespace, Wix, WordPress card, whatever.
And then now we're to this iteration of websites today
where you just prompt it. You just prompt it in a vibe
coding tool or in Lindy and you get a website.
I feel like we're in like that second stage of AI agents today
that websites were in like 10 years ago.
(29:41):
That's the perfect analogy. Like, imagine if like every time
and a lot of people are still stuck in this world today, like
every time you want to make any change to your website, you've
got to go through an engineer, well, space framework, web flow,
whatever. Or you could just go and change
the the thing yourself so that that's exactly the same idea.
Yeah. Well, is there anything about
Lindy or anything cool that you're saying that I should have
(30:03):
asked you but didn't? Let's talk about computer use
real quick because we talked about the engine builder, which
I do think is like the most exciting update.
I am also really passionate about computer use because
again. Oh yeah, yeah, yeah.
Until computer use, you will limit it by the number of
integrations that you supported.And that's why Anthropic came up
to his MCP, because they're like, we want to make it easier
for people to build these integrations and plug them into
(30:25):
AI agents. But at the end of the day,
you're still going to need an engineer at HubSpot or
Salesforce or whatever to sit down and build an MCP instead.
Like with computer use, you can have your AI agent use a
computer and, and do anything that you can do on a computer.
Because a lot of solutions, theydon't want you to use them
through an API. They're never going to build an
integration, let alone an MCP integration because they don't
(30:47):
want agents to use them. So I'll give you this example of
I have a lot of spammers on Twitter and Dimensions.
It's really annoying. So I've set up this agent with
just a prompt and I was like, hey, I want you every day to
look at my mentions on Twitter and block the spammers.
You can see every day it wakes up, it starts it's computer and
then you can see on the right, this is it's computer, This is
(31:10):
what it sees and this is what itdoes.
So you can see here, it's like it's found this spammer.
I don't know why like these people always tell me it's like
this gentleman is awesome fire emoji.
Like it's so annoying. And so and so she just goes and
blocks, blocks, blocks, blocks. It's awesome.
And. So and again, it was just a
prompt and like Twitter is not going to give you actually
(31:31):
famously when Elon bought Twitter like they should do.
That, yeah. Yeah, yeah.
So we don't need an API anymore.You know, we'll just, we'll just
clicking around and same on LinkedIn.
I think I have another example here of, you know, this like
comment magnets on LinkedIn thatare really effective by the way,
as a as a lead generation mechanism.
So, for example, five days ago we posted this tweet, this
(31:51):
comment on this post on LinkedIn.
And it's like, I built CCI agent, you know, this is what it
does. It's awesome.
Like comment agent and I'll DM you the details.
Check this out. Seal these 300 comments
corresponding agents. So when we had that, we're like,
oh, this is a pain we need to answer to like seal these 300
people. Yeah, on LinkedIn.
(32:12):
And like, you know, it's like, because every time when you're
like agent hi, just sent you Admagent, you know, and in some
cases we can send DMS and in some cases people have their DMS
locked down on, on Twitter, on, on LinkedIn.
And So what we've done is that we've built CCI agent here.
And what it did, it's like, OK, I found someone who commented.
So step one, I'm going to open the profile and I'm going to try
to message the person. So you see, like it tries to
(32:35):
click message and then LinkedIn tells you, Ah, sorry, like this
is actually sort of messed up because if you lock down your
messages on LinkedIn, LinkedIn still lets people message you,
but only if they pay. You know, it's, it's kind of
crazy. And so you can see like here,
Lindy is like, Ah, snap, I can't, I can't message them.
So I'm going to go back to the comments and I'm going to reply
in the comment. And you can see here, she's
(32:56):
going in the comment and she's sending this message here, these
comments. That's like, hi, would love to
send you the template. Please DM me.
And this is just running on autopilot.
And this is like, look, this is like still this 300 comments.
So even if it only takes one minute to do per comments, which
I think it takes more than that,that is 55 hours right here
saved just not having to go and respond to those manually.
(33:18):
Flo, I'm I'm paying like $350.00a month for a many chat which
just does this. It's $350.00 a month and I use
it on Instagram. It's like if you want the
business plan, comment plan, it's a lot of money.
I didn't realize I could replacethat with this.
Like I'm just now learning this and then like, there's a lot of
things that I want to be doing, but I need to hire real people
(33:39):
for it. For instance, I get thousands of
comments per day on Instagram and Facebook, and many of them
are, are critical in bad faith, right?
I look at like negative commentsas like good faith, Like, hey,
is that even realistic to make this much money?
That's a good faith comment or bad faith.
Like, you're an idiot. I hate you.
You need to die, right? And like I, I just, I don't have
(34:00):
the bandwidth to hire a virtual assistant to go in there and
block them, but I'm not doing it.
So they're just living there. And it just bugs me, you know, I
could totally do this. I could say, hey, like discern
the sentiment analysis from thiscomment.
If it's a bad faith negative comment, delete the comment and
block the person. And then like over a month,
they'll just be so much more curated.
(34:20):
My comments. It's funny the example agent has
just showed you of the Lindy that blocks spam mails that I
mentions after I recorded this demo I just showed, I actually
updated it to do exactly what you just said, which is because
I same as you, I get these people that are just like rude.
It's just like right, obviously rude.
And so I updated the prompt to be like all the block mentions
(34:41):
containing very rude or insulting content, especially
when devoid of substance. And so yeah, I don't, I no
longer see these rude messages. It's like it saved my mental
health, honestly. Even a little bit of followers
on Twitter, like people don't understand, like your experience
changes. It just sucks.
You get these modes and your mentions.
I no longer have that anymore. That's so good.
And like even tools like many chat that, that have APIs to do
(35:04):
stuff like this, like there are automations that can respond to
my DMS or that can respond to comments, Facebook, Meta,
Instagram, like it will, it willblock me, like it can harm my
account because it thinks there's automated behavior or
whatever. Like I'm not asking you to like
absolve me of any liability, butI feel like it doing it in an
actual window makes it more likeI have an actual employee doing
(35:25):
it themselves and I'm safer fromstuff like that.
That's exactly right, 100%. It's funny, actually.
There is an episode of South Park like that where it's like
Cartman gets a lot of hate messages on Twitter and he asks
Butters to, like, filter them from him and gets, like, brain
damage looking at the head. Yeah.
That's. The idea?
Oh man, I mean even like people in my DMS like they'll send me 3
(35:48):
paragraphs. Like dude, I started this
business because of you. Like I thank you so much, like
you. And I don't see them.
Sometimes I'll go in and look and I'm like dude this is
amazing. But I don't have anyone
checking. Like I could reach out to them
and be like dude thank you so much.
It is AI, but it's better than not getting a response.
OK, let me let me show you I have another agent that does
exactly that. By the way, this is going to
(36:08):
look staged like this is we're literally just rethink for like
the listeners here. But like this is literally I
have this agent here that's likemy our ex new follower.
I'm like softballing you all these questions.
I think my viewers, they're usedto this.
Those are pretty. Universal problems that yeah,
business is running too, right? And so you can see every time we
get a new follow, will we have this Lindy wake up and she looks
(36:31):
at the the the person who just started to follow us and she
sends a message. So right here appreciates the
follow. What repetitive stuff are you
dealing with that's setting up your time?
And we're actually working on enriching this agent right now.
So like instead of sending always the same message, it can
actually research you online 1stand be like, wow, I just saw
your business did XY and Z. This is so cool.
(36:52):
Hey, have you thought about using agents for this?
And this could be tailored. Man, Yeah, well, dude, I think
what I want everyone listening or watching this to know is
these problems that I'm describing, you know, getting
all these comments and DMS, it'sprobably not yours, but this is
a problem that you can solve forother people that are publishing
content, right? Like you can offer this as a
(37:12):
service for people that don't want to read all these toxic
comments or people that want to kindly respond to people in
their DMS, maybe with a sales pitch, maybe with a thank you.
This made my day. Like this is a service you could
offer for a monthly fee just using Lindy on the back end.
That's exactly right. Yep.
You could use Lindy to find the customers and then you could use
Lindy to fulfill the customers. That's exactly right.
(37:34):
Yeah. And and we have a lot of
agencies in our customers that are like very successful at
doing that. Oh man, this is.
I don't usually get a headache within 39 minutes of talking,
but today might be a record and that's good.
Headache. Headaches are good.
It's a brave new world. Like people don't understand
what's what's happening. Like this is like the
capabilities that we're talking about today are literally 30
(37:55):
days old, right? So like, this is what I mean
when I say it's so very early. Like, I think, you know, it's
funny because when I started this company not that long ago,
it was like 2 1/2 years ago, Like I said, oh, I think like
we're not very far from having companies that are fully
autonomously managed by AI agents.
And people were looking at me like I just smoked crack.
(38:15):
And no, it's it's happening likeyou.
You're starting to see it. Well, just think of like cold
e-mail automation agencies or cold e-mail agencies.
That's the thing. It's been a thing for years,
right? I think that is basically to the
point today where if I had a cold e-mail agency, like my
customers are companies that want to send cold emails, I
could use cold emails to find mycustomers.
(38:37):
I could use Lindy to do that. And then once I find them, I
could use Lindy to craft, scrape, verify, send, reply to
reply to again, reply to again, close Stripe API, collect
payment. Yeah, like you could already do
this today. Yeah, today, like this is not
speculation. This is not a drill.
This is, this is happening 100%.Like what I really want someone
(38:58):
to do is yeah, I'm. I'm looking forward to see like
the first fully autonomous AI organizations set up by one guy.
To your point, like you could imagine, like the recruiting
example, it's like, hey, these are three 20 dates.
Like this is a DocuSign. You know, you don't pay me
anything unless I actually get you a hire through the door.
By the way, an interesting thingis like some recruiting
(39:20):
companies work like that. It's like on a contingency
basis, like you only pay us 20% of the first year salary, which
is a lot of money. It's like $30,000 plus.
But then there is fraud. It's like customers hire someone
and then they will tell you and what not.
So here what you can do, you canhave another AI agent that
checks every month as the LinkedIn profiles of the
candidates that you introduced to customers to see if they
(39:42):
joined the customer. And if so, you hit up the
customer and you're like, hey, where's my money?
So good. You can set up the whole thing
like that end to end like hey here's the docker sign.
And then once you send it, once the person signs it, like now
you have another agent that goesand starts finding candidates,
reaching out to them, booking interviews with the customer or
sending them to customer to confirm 1st.
(40:04):
And you can have the entire flowcompletely end to end, managed
by agents. I'm just picturing a company
getting an e-mail said, hey, remember when I introduced you
to John Smith for that, that technical role?
What happened to him? Oh yeah, John, he passed.
He took another job. Really.
Cuz I see on LinkedIn he's joined your company.
Invoice attached. Please pay within seven days.
Invoice paid. Yeah.
(40:24):
Yeah, Yeah. I love that.
That's exactly the idea. If that send to collections and
maybe collections is not alreadyagent, you know that's like.
I'm sure it will. This is a lawyer, a agent, You
know, that's like, hey, you're in violation of.
Yeah. Yeah, it's interesting because
we're so early, but just like there are businesses that don't
have websites today, we're goingto be 10 years from now and
(40:45):
there's still going to be peopledoing it the old way, right?
So that's not a reason for someone to wait, but it just
takes a long time for people to adapt to these new technologies.
So the sooner you act, the more you'll be ahead of your peers.
Yeah. I think at some point there is a
tipping point where it's like atfirst you get an advantage if
you adopt these technologies 1stand then at some point you are
(41:07):
at a disadvantage if you haven'tadopted these technologies.
Like, you know, today people whoaren't using computers and
they're still using like fax machines or whatever.
I don't think there's a whole lot of them.
If you're in that boat, like you're no longer at an advantage
if you use computers, you're just like behind and you're like
at the disadvantage if you don'tuse them.
Yeah, I'm picturing like a spectrum.
It's like first phase is like advantage first movers, right?
(41:29):
The biggest middle phase is table stakes, right?
You don't have a website, dude. That's table stakes.
Yeah, Like that's just like that's like like you have to
have a website and then after that it's you don't have a
website. How are you still in business?
Yeah, no, exactly. What?
How do people know how to contact you?
Yeah, Yeah. Well, still is the phase of like
advantage because like I just said, like this technology is
(41:49):
like 30 days old. Like AI agents started to work
basically 12 months ago, really.So it's still very early, which
is why we are seeing the companies and the individuals
and the agencies who are adopting these technologies
first just completely blow it out of the water.
Oh Flo, this is amazing. Lindy dot AI Lindy can.
I find you. Yep.
(42:10):
Yeah. Well, active on Twitter.
Well, active on LinkedIn. If you follow us, something on
Twitter, like an agent will be in touch with you.
Yeah. He's honest folks, he's honest.
OK, if you like this episode with the Lindy founder flow, we
spoke back on June 16th, 2025. So you can scroll back and
listen to and or watch that one as well.
And as always, I would really appreciate it if you shared with
(42:31):
a friend and used my Lindy affiliate link in the show
notes. Thanks a lot.
See you next time on the corner Office.
This is a service you could offer for a monthly fee just
using Lindy on the back end. It's so easy to create AI agents
it's almost addictive. It's literally just your type
worlds and just does it for you.You can have the entire flow
completely end to end managed byAI agents.
There's a dozen Silicon Valley companies right now raising 10s
of millions that are basically just that agent.
People underestimate how early it is.
(00:20):
The capabilities that we're talking about today are
literally 30 days old. There is an immense opportunity
for these AI agencies. The people that I've spoken to
that want to start an AI automation business, they're
getting tripped up because they're not technical.
I'm not technical, but I feel like this removes that friction.
There is no excuse anymore not to use the agents.
The sooner you act, the more you'll be ahead of your peers.
(00:41):
I've said it before and I will say it again, that one of the
biggest opportunities I see right now is that of starting in
the AI automation agency where you insert yourself into small
to medium sized businesses and use very cheap, very easy to use
tools to automate certain processes that these businesses
use. And you charge between $505,000
a month or you charge 3 to $5000one time and two to $700.00 a
(01:04):
month ongoing. So one month ago, Lindy which is
an AI automation platform, came out with an update that enables
anyone to create AI agents with one prompt.
And this is game changing technology.
There is a massive opportunity to be the expert in the room for
these business owners that know they need to be using AI but
have no idea where to start. So without further ado, please
(01:24):
enjoy. We use a couple acronyms in here
that some people might not understand.
The first one is NANN, then the number 8, then N, which is a
somewhat technical AI automationplatform that you really need
some base level of technical knowledge to use.
So we contrast that with Lindy. And then the other acronym is
STR Sales Development Representative, AKAA Salesman.
(01:45):
We just released Lindy 3 point Othat's like the biggest update
in our history as a company. And it's the three big updates
are one like you can now collaborate with your team on
Lindy, like invite your team members and share your agents
and so forth. But most importantly is that two
really big things that we're really excited about the agent
builder. So like now you can create an
(02:06):
agent from just a prompt. You literally just like type
wheels on your keyboard and you're like, this is what I want
to automate. I want to automate my customer
support, my content generation for marketing, my like lead
qualification and whatnot. And just literally from just a
prompt like creates the agent for you and computer use, which
is the idea that your agents cannow use their own computer in
(02:29):
the cloud. Like they have like a, if you
will, like a virtual mouse and avirtual keyboards that they can
use. So that means that agents are no
longer limited by the MCPS or like the integrations that they
have access to. Like as long as this is a tool
that is accessible from a web browser, that is something that
your agent is going to be able to use, even if it's like an
(02:49):
internal tool of yours, right? So we have an entire teams right
now using Indeed, for example, to automate their customer
support and have internal tools to like issue a refund.
And until now these guys were blocked.
They were like, ah, like we really want to use AI agents,
but like we don't have an API for like these internal tools
and we don't have the bandwidth to build them.
And now they're actually deploying these AI agents really
(03:10):
quickly because these AI agents can just log in and use their
internal tools using just using just like a my IS and keyboard.
Those are the two very, very bigthings that have changed.
OK, that's incredible. So basically with a vibe coding
tool with one prompt, you can create a web app or a website.
Cool with this. With one prompt, you can create
an agent that will respond to all of your customer service
(03:32):
inquiries. Now, it can't be too broad,
right? It it needs to learn and know
how to respond to certain inquiries.
But if my prompt were to say every time I get an e-mail to
support@chrissemail.com that says I want a refund, please
issue them a refund, right? It would that be a a use case
like please go into Stripe issuethem a refund.
(03:53):
That's exactly right. Yeah.
So this is an example. I use Lindy to manage my
personal CRM. So it's more like a, a work like
slash personal example. Like I meet people every day and
like I, I want to keep track of them.
And so I want to be able to go on Lindy and be like, hey, I
wanna, I met this guy, you know,he's an investor, for example.
And then I want to be able to goback to Lindy at any point.
(04:14):
And I want to be able to ask like who are the investors that
I know? So I, I just sent you the
prompts like help me manage my personal CRM.
And then it clarifies the plan that it came up with.
And it's like, OK, so like if you're asking me to add a
contact, I'm going to add a row to a Google Sheets.
And if you ask me to retrieve a contact, I'm going to get the
data from the Google Sheets and I'm going to give you the
(04:35):
response like, is this what you want me to do?
So it, it clarifies, it asks youdisambiguating questions.
And then I say yes. And it creates the agent.
And in a matter of seconds, I have this agent here on the
right. Wow, add a contact.
This is this. And if I want to retrieve your
contacts, this is that. It's actually funny.
Right before this, I was on another podcast with Eric's Hue.
(04:56):
I don't know if you know him. And he was like, oh, like, hit
me up next time you're in LA. I'm based in San Francisco.
He's based in LA. And I just went to my Lindy and
I was like, hey, add Eric's Hue AI influencer hit up when he's
in LA. So there is another prompt that
I sent to this Lindy after this video where I was like, hey,
also detect when I'm flying somewhere by intercepting the
(05:17):
flight confirmation e-mail from my inbox.
And when I fly somewhere, tell me who I need to meet up there.
So you see here, it's set up this workflow.
That's like, OK, if you receive an e-mail that's let me right
here. If you receive an e-mail that's
about the flight, then I'm gonnaget your spreadsheet and I'm
gonna send you an e-mail with who you should meet there.
So you use Google Sheets as yourpersonal CRM?
(05:38):
Well, I think that's the beauty of AI agents is like, yeah, now
you just, I just need like a dump data source and all of the
intelligence on top of that and all of the interface on top of
that is just agents. Yeah, no, I'm asking because I
love that because I use everything in Google Sheets and
I try to eliminate all these other random softwares.
But how could we create that with a prompt like specifically
(06:00):
the agent to any time you see a flight, log it and then anytime
I ask you, you know, who's in this area, you'll automatically
know so I can know who to visit.How could we create that one?
It's literally just a prompt. Like when you log into Lindy,
there is this text box here. You can either like type your
prompt in here or you can like press the mic button to dictate
it. We actually recommend dictating
(06:21):
it because you can give a lot more details when you dictate
and you would be surprised. Like you can ramble, you can say
anything you want and agents areactually really good of at
making sense of of what you said.
And so you just do that, you prompt it, and then like a
minute or two later, you get youget an agent.
Before Lindy 3 point O, if I wanted to do the same thing, I
kind of had to know these tools and I kind of had to know how to
(06:44):
drag and drop and tie it together and get the API key.
And now you don't have to. You just removed all the
friction. That's exactly right.
There is no excuse anymore not to use AI agents.
Like, yeah, you know, we've really gone through that journey
of like, at first you had to be an engineer.
Like if you're an engineer, likeit's a great tool to use, then
we build this no code platform. And so you don't have to be an
engineer anymore, but you still have to learn the tool and ain't
(07:07):
nobody got time for that, right?Like you just, you just want to,
you just want to do your job. And so now it's literally just
your type wheels and just does it for you.
And if it and if you want to iterate on it, you'd send it
another prompt and you're like like this is not exactly how I
want it and it's just going to get to do it better.
Yeah. How much time do you spend
looking at what people are doingwith Lindy 3 Point O, seeing how
(07:27):
they're using it? Is that a big part of your day
or does your team manage that? Well, I mean, I, I talk to users
all the time and I look at data as well.
So I think it's important to have that like forest view and
that like tree view. We also look at like the
breakdown of like the kind of tasks that people ask.
But yeah, I mean, I keep my yield very close to the to the
ground for sure. What kind of patterns are you
(07:48):
seeing and is anything surprising you?
Last night I was looking at a Lindy that a customer sent me
and he was like, hey, like he was actually proud of it.
He he sent it in our Lindy community.
I recommend everyone checks it out.
We have like a really vibrant slack community with like
thousands of members and he DMV to me he's like, ah, check out
this video. I'm really proud of it and it's
like, OK, I looked into it and Iwish I could show my screen.
(08:11):
I don't want to like violate this person's privacy.
This is by far the most insane Lindy I have ever seen.
It's like 400 nodes like those. We call nodes like 400 nodes
like you just. Like, wow.
Yeah, you just keep and keep andkeep going.
And the guy just like locked in and he built 80% of it using the
(08:31):
prompt to agent that I mentionedand 20% of it by like tweaking
it across like manually. And he basically built, it's
sort of like an SDR, like it's an indie that like, fully
autonomously, not only like finds leads online, enriches
them, qualifies them, like, decides who to actually engage
with, researches them, sends them a personalized e-mail and
(08:51):
then engages in an insane back and forth with them.
Like, if people say they're not interested, it asks them why.
It it handles objections, It learns from the objections.
It AB tests the the emails and the subject lines.
It's like, oh, my, like, and there's like, yeah.
And now I can just write it and it's like, it's like a sales
force for me. I have been surprised at how
people like, get sucked in and like, they get into it.
(09:13):
Once you make it so easy to create a agent, it's almost
addictive. Like there are there's a dozen
Silicon Valley companies right now raising 10s of millions that
are basically just that agent AISDR Yeah, like that's all the
rage right now. And for those listening, sales
development agent like just AI sales through e-mail in this
case, right? Yeah, like there are a whole lot
(09:34):
of startups that do AISDRS and like, you know, we have this
meme internally. It's like hashtag should be a
Lindy. So we see a lot of startups and
well, like should be a Lindy. That's exactly what I'm talking
about. Yeah, no, exactly.
It's kind of like the, there is an app for that.
It's like should be a Lindy. I think like the advantage of of
using a platform like Lindy and we held that all day from our
customers is like you have a single pane of glass where you
(09:55):
can manage all of your agents and then also like a single
place where your agents can collaborate.
I think you're really in luck with the magic.
Once you have your agents work together, which you can do, then
you can almost like modularize your agents.
You can create agents that are specialized in certain tasks and
you can get them to like talk toeach other and, and collaborate
with each other. And in the end, it's going to be
(10:16):
more powerful. It's going to be cheaper and
it's going to be easier to manage for you to have like one
single platform where you can doall of that and have like 20
different logins and platforms that you have to learn and and
subscriptions to manage for eachof your use cases.
I'm thinking of like what this use case could be for the AISDR
specifically if you are an employee or a business owner,
(10:37):
Let's say you're an employee that's just sells Salesforce
software, right? And I go permissionlessly as
just an enterprising entrepreneur on behalf of you,
an employee selling Salesforce making good money presumably,
and I go find a bunch of potential clients.
I go create an AI sales development agent in Lindy and I
(10:59):
go start emailing, just cold emailing.
Not just cold emailing, but having these automated
conversations back and forth with people, right?
And then a small percentage of them come down the funnel and
they're like, let's hop on a call.
OK, so you get it all the way tothat point.
And then if you reach out to theSalesforce Rep and say, hey, I
have a really hot lead for you, it's this guy that works in this
(11:19):
company, yadda, yadda, yadda. I'm guessing it's going to be
worth 4000 MRR to your company, which is worth XY or Z, you
know, commissions to you. How much would you pay me for
this lead? You're not just like selling a
dream. You already have it, right?
And now he's interested. Now you have his attention and
your chance of getting a reply to that cold e-mail verse.
Hey, I help Salesforce reps get more leads.
(11:41):
Can we help on a call? Like your chance of getting
reply to that is like half a percent your chance of getting
reply to you know, here's a lead, here's the whole
conversation. Here's his name, phone, e-mail.
Take it, steal it. It's all yours.
What's your chance of getting reply to that conversation?
100% We have a recruiting firm that we're working with that's
leveraging agents for a use caseactually very similar to the one
(12:03):
that just laid out. Like what they do is that they,
they do send these outreach to people, but what they do is that
they look at the list of job descriptions that the company
has on his career page. And so they're like, oh, you're
looking for like software engineers who know React and
TypeScript and, and like have minimum X years of experience
(12:24):
and all based in San Francisco, CA.
So they collect all of these requirements, but they have the,
to clarify, this is the agent that like they've set up.
So they've set up this agent that does that.
Like it collects a bunch of likecompanies that are hiring, it
looks at their open positions, it collects the requirements and
then it goes on LinkedIn and finds people that satisfy these
(12:44):
requirements and then it sends in the e-mail.
At least it's like, hey, we saw you were hiring including
software engineers. This is an example of like 3
leads that we found and we have their e-mail address.
We can reach out to them. Three leads that we found that
satisfy your requirements. We've got 1000 more like those.
If you, if you say yes, like I can send the contract and we can
be, we can be reaching out to them like today, like in an hour
(13:07):
and they're ripping it. Like these guys are just like
crashing it. They're getting so much response
from this e-mail because to yourpoint, it's like it's, it's so
much more engaging and you're bringing so much more value to
the table through these emails and through just like a
generate, like, hey, do you wantto work with us for recording
e-mail? Yeah, because sales like this
brings sales from here's what I can do for you to here's what I
(13:27):
just did for you. I love that customer.
I love that exactly. Yeah.
Oh man, we might have talked about like a, a version of this
idea on our last episode, but just imagine if I had a Facebook
ads agency, right? I charge $2500 a month to any
company in the world to manage their Facebook ads, right?
You could with one prompt, right?
(13:48):
Might need follow up prompts, but you can get the, you know,
the skeleton for this in one prompt.
Say, hey, I want you to go to the meta ads library and I want
you to cross reference with LinkedIn.
And I want you to find me e-mailaddresses for decision makers at
any company that has an active ad in the US on Meta ads
library. And then I want you to send them
an e-mail, a customized e-mail that says, what are you doing?
(14:12):
You only have 4 creatives on your meta ads right now.
Did you know that? You know, companies that have 40
creatives or more have a 30% drop in return on ad spend or,
or increase on return on ad spend.
I can do that for you. Like and full transparency, I
use AI for my creatives so that's not a bad thing.
That means you can get 10X the creatives for 30% less cost.
(14:36):
When can we chat? You could go further than that,
like you could have the. AI agent like.
Search, I mean, this is great. I love that, right?
Just like rethink here, like youcan have the AI agent also
research the competitors of thiscompany, research Facebook ads
that these competitors have running and tell the person and
I love the framing that you justput together.
It's like, it's no longer like, here's what I can do for you.
(14:57):
It's like, here's what I did foryou.
It's like, hey, I researched your competitors.
Start crushing it. These are the five best, best
performing ads. Then you add the screenshot in
the e-mail. By the way, I've all the
creative these ads for you. This is the creative that I've
created. It's like using the same idea,
the same concept for the ads, but with your brand and your
company and your product. If you just say yes, I'm going
to spin them up on your, on youraccount, right?
(15:19):
So yes, because EI agents have lowered the bar so much and
because they can make it so easyfor you to do this work at a
high volume before you've signedthe customer, you can deliver
the value before you've signed them.
I just like, I'm no offense. I'm having a hard time even
listening to you because my mindis just buzzing with other
prompt ideas right? Hey Lindy, go to Instagram and
(15:42):
find me AUS based influencer with at least 50,000 subscribers
that doesn't use like a link tree or anything, right?
And then send them this message.Hey, I noticed you don't use a
link tree. Oh, then you go to Lindy in a
different window and say, Hey, build me a link tree competitor
with your vibe coding tool, right?
And it's like, OK, hey, FYII have a free link tree
competitor. Don't pay link tree 20 bucks a
(16:04):
month. Use mine.
You have 50,000 subscribers. You should be selling T-shirts
or newsletters or something in there.
Use this right Go and it just itstarts sending.
When I it's funny, I literally have open right now.
Let me share my screen with you,a Lindy that I created to do
basically exactly what you just said.
So it's like, hey, like this is like, hey there, I'm ready to
build you like a laser targeted list of influencers.
(16:27):
Like what are you looking for? And I said like, I want 20
influencers on YouTube with 20,000 to 40,000 subscribers
into the productivity and AI space.
And you can see like I made a typo here.
I said AI space, but AI agents are awesome.
Like they don't care about typosand it's going online.
It's using a bunch of tools, It's doing a ton of publicity
queries. It's doing a lot of research.
(16:47):
It's like looping through all the people it's found.
If you look here, just going to open a new tab.
This is how the flow is set up in the background.
I didn't have to set this up. This was set up from just a
prompt. And you can see here for each
influencer that it's found, it'sgoing to scrape their YouTube to
like find like the videos that they that they have and to
understand the influence or better.
(17:07):
And he's going to look for theire-mail address.
He's going to do all of that stuff.
And then it's like, oh, hey, I found these people for you.
So this is the focus, self development, Wellness,
productivity. This is their e-mail.
This is the partnership contact.Look, this guy already has like
strong brand partnerships with Opus and Hagen.
Oh my gosh, no. 100% like what what the use case can.
(17:28):
Ask it to do that. Yeah, absolutely.
Yeah, you asked it to go a step further and find the brand
partnerships that they have. Yeah, in the original prompt
when we said. That well.
I don't know if we said that exactly this way.
I think we just said like, Hey, find us details about this
person and like you can see he'sgot like a bunch of scrape.
He was like, all right, I'm gonna scrape the Tik toks, the
Linkedins, the YouTube, their Instagram, their Twitter.
(17:50):
And and when he does that, it all defines all of this
information by default. Man, RIP to our inbox like cold
emails, they're just. Well, then you really go one
step further and you, you set upa Lindy to help you manage your
inbox. And so we've already had
actually, because that's, it's funny, actually, we have that a
lot. We have like brands, in
particular e-commerce are like CPG brands, like Consumer
(18:12):
Packaged Goods brands that are using Lindy for this, for like
influencer outreach to like promote their brand.
Then we also have influencers and I, I wish I could say who,
but some, some extremely large and famous Youtubers are using
US because these guys, you know,and, and I'm sure you know, you
know, you're harassed by offers for sponsorships in your inbox.
(18:33):
Every day. And so these guys that have
agencies that they actually pay a lot of money and all of these
agencies do all day is they intercept these emails
basically. And then they, they, they
archive like there's a lot of randos and like unserious people
in there. And then they engage with
serious people in serious brandsthat actually have money and
they negotiate a deal. They're like, hey, you know, Bob
(18:56):
can work with you. Just a heads up, like every
video is $100,000 or whatever. Not just one, but multiple
really, really big and famous like YouTube influencers right
there using US in this context. The funny thing is that we have
actually all the had instances of these two Lindies talking to
each other. So like a brand reach out to
this influencer using Lindy and this influencer also Lindy
(19:16):
engaging with that Lindy to negotiate the deal.
How do you know that's happening?
Because we were wondering, well,this influencer, do you think
they're gonna be in touch? And so we set a reminder to
check a month later and we looked into our database and
sure enough, the tool Lindy is gonna in touch with each other.
It's funny I'm laughing because I have a Lindy for that exact
same use case cuz I get these spammy emails.
(19:37):
Let me sponsor your channel and I just respond to them with like
a number that's way way too highcuz usually I just delete them.
I love that I'm archive them. So it's just like I'm either I
ignore it or I'll just give thema stupid number and see what
they say, you know? A suggestion.
Then you could go again once thepills are and like as you all
fill a Nimbil. You could also research the
brand first, right? And so you can reply with a
(20:00):
number, but with the way that's just like a tiny bit Voltaire,
you could be like, hey, by the way, our audience is quite
aligned with who you seem to be sending to.
Yeah, yeah. Do you offer like a white
labeling service? We don't know.
Like all brands. All brands is an indie.
Yeah, well, it depends. What do you mean by white
labeling service? I'm just picturing like Chris's
(20:20):
roofing automations.com, right? And I start a business that's
basically just Lindy White labeled and I go into roofing
companies and say I can automateany of your processes and save
you $30,000 a month, yada, yada,yada.
Is that like a growth opportunity for you guys?
100% So like we don't feel like white labeling per SE, but like
we do one like we do let you deploy a chatbot on your website
(20:43):
that's like hey, like it's like an AI chat bat.
So like that's one thing, but those are what you just
described like AI agencies. And I think we talked about that
the last time you and I talked like AI agencies are huge right
now. And like, look, you know, like
we do have this new prompt to agent product, but it's still
not as good as a human. Like you're still going to need
consultants for, to like really understand how you can deploy
(21:05):
this in your business. And like it still takes time to
build these agents. Like even if you no longer need
the expertise to do it, you still, it still takes time.
I do think there is an immense opportunity for these AI
agencies and we have a couple ofAI agencies that we're working
with that are like extraordinarily successful and
and growing super fast right now.
We talked about that in June. Is there any update there like
how people are using Lindy to make money and like what does
(21:28):
their pricing look like, how arethey finding customers,
etcetera? So I think that's the beauty of
these agencies is like each of them is an expert in their own
vertical and each of them has their own existing network.
So like some of them sell like sales services, like AISDL
services, if you will. Some of them sell to like
healthcare companies, like we have one that like interestingly
(21:48):
enough sells to like dentists and they were just really
specialized in like, hey, I knowhow to automate your back office
as a dentist. Apparently dentists like they're
still running like extremely antiquated software and you can
automate so much of that using AI agents.
So you know, what I recommend topeople is like the value that
you are delivering as the AI agency is that you are bridging
(22:09):
your expertise in the technical product like India.
Like, you know how to set up andmonitor these AI agents and your
expertise in any given business or any given area.
And I think people consistently underestimate the value of their
expertise in the latter. They sort of take it for
granted. Like everyone knows about that.
This is like no man actually, like in a really interesting
(22:30):
niche right now. And don't underestimate how few
people live in this intersectionof these two things.
Like many people know about the agents, many people, some people
at least know about like AI, like dentists, and like the
software issues and back office issues that they're having.
Few people leave in the intersection of those two.
And when you do like you can, you can deliver a lot of very
differentiated value. Yeah, well, a lot of times
(22:52):
people like like you and I, or people that are playing around
with these AI tools are just hanging out on Twitter and on
Indie Hackers and talking. They're in an echo chamber, in a
bubble, and so that's why they write off their skills.
But if they go out in the real world, just go to church or a
friend's house and talk to people about this, they don't
know anything about this. They don't even know what an AI
agent is like. I go hunting every November with
(23:14):
some buddies from my MBA programand they're all about my age.
They're not really on Twitter, but they're working
professionals, white collar guysmaking good money.
And I talk, I'll talk to them about crypto or AI or whatever,
and they're like, it's way over their head.
Like you'd think they're 86 years old living in Topeka, KS.
No offense to anyone in Topeka, KS, but they just don't know.
(23:37):
Twitter is a bubble like Tech isa bubble.
I think people underestimate howearly it is.
It is just so so so early. Well, 0.1% of the way there.
Is N8 N as valuable today as it was a couple months ago before
this update? I'll leave it to the web shows
to decide. I think if you are a really
technical person, like an engineer basically is who Nat
(23:58):
and K, those two, and I'm not throwing shade at them.
This is where they have their roots and I think this is
awesome. It's like an open source product
and all of that stuff. But I think if you are easily
like not an engineer, like you're not that technical and
oh, you are. And we have a lot of people, you
know, in our customer base who are like, I can use other more
technical products, but I just don't want to, I just want to
(24:20):
solve a problem, you know, I think you are in need for a less
technical, easier to use solution and, and that's what we
focus on. Yeah, I'm not about to say that
NAN is going to be hurting or going out of business.
Like they're on a tidal wave, right?
AI is a tidal wave and there's alot of room for everyone.
But I look at it as like Zapier and make, right?
Zapier is user friendly, Make isnot.
(24:41):
Make is cheap, Zapier is expensive.
It's more for technical people and Zapier is not.
I look at it like that. I know a guy that his whole like
his whole business is using N8N and like hundreds of customized
complex N 8 N templates to help people start AI automation
agencies. And you know, so he'll train
someone to go into a plumbing company and use N8 N templates
(25:05):
to, you know, be like a virtual receptionist virtual.
I just don't see, and maybe I don't understand N 8 N well
enough. I don't see why N 8 N would be
necessary for something like that when you can just you could
just prompt it in Lindy. Yeah, yeah, yeah.
And not only that, you know, notonly can you just prompt it with
media, like once you've promptedit is the flow editor that we
(25:28):
show you is still like 100 X easier to use than NA10.
Like if you want to set up an AIagent with NA10, you have to
also set it up with like a memory.
You have to tell it what day it is, right?
You have. And like the memory options that
you are given include like huge rent vector stool, which again
speaks to like how much of A technical solution that is,
(25:49):
right? Well, as with Lindy, it's
literally just like you click the agent button and you enter
your prompt and that's it. If I were to help a plumbing
business or a small business, you know 100,000 to 10 million
in revenue, automate some of their processes, right?
Clocking in, clocking out, software stuff, HR stuff,
e-mail, answering the phones. Is there anything that you can
(26:09):
think of that NN like you have to use something like NN4 that
Lindy 3 point O would not work for?
No, we've never run into a case where we were like, ah, you
can't do this. You should probably use another
solution. Like look at at the end of the
day, this is like a, a nerdy term that engineers use.
Like, and I said that as an engineer myself, like all of
(26:29):
these platforms are Turing complete, right?
And Turing completeness is basically this concept of like,
it's a universal computer. It's a universal platform that
can do anything that any other computer and Turing complete
universal platform can do. All of these platforms are
Turing complete, including us, including in it, and including
everything else. So like, no, you can't.
You can definitely do do the same things.
I think it's just way easier to do it with Lindy.
(26:51):
OK, forget the plumbing example.Is there anything that Lindy 3
point O can't do that you reallyneed N8 N for?
Like anything complex, somethingthat's just too technical for
Lindy. I can't think of a single thing.
No, again, it's, it's really more about, let me think they
have something features like MCP, right?
That like we don't support yet. So like and you would need, you
(27:11):
would need to like hack your wayaround like you can set up MCPS
in India, but it's not as friendly.
And so it's not like you can't do it.
It's like there are certain things that very technical users
want that are easier for you to do in other solutions.
And explain to the listeners andas simply as you can what an MCP
is. And MCP is the equivalent of a
USB port for AI agents. It's just a universal connector.
(27:34):
It's a protocol to connect AI agents with tools and your tools
being like your Gmail. Like in API but for AI?
Sure, and it allows you to have like an LLM on locally right?
On your own device or server. I wouldn't say that like it's
USB port like yes if you want you can use it for your own LLM
like but like you can also have your own LLM on your own server
(27:56):
and not have MCP. That's a game changer because
the people that I've spoken to that want to start an AI
automation business, they're getting tripped up by N&M
because they're not technical. I'm not technical.
That's not a drag on them, right?
They're just not technical. And so it's like, how can I
teach a plumber how to do this when I can't do this?
Yeah, but I feel like this removes that friction.
No, 100%, yeah. And I, I think that again,
(28:17):
that's the whole thesis behind the company, right?
It's like AI agents are awesome and you shouldn't have to be an
engineer to leverage them. Business users should be able to
build AI agents because they have the business knowledge and
that's where the value lies, right?
And so if you have that layer ofindirection between the guy who
has the business knowledge on the one hand and the guy who has
(28:38):
the technical knowledge on the other hand, now it's like the,
the iteration loop is so much longer because every time you
want to make a change, you got to go through the engineer and
he's going to take a day to answer to your e-mail, and he's
going to take a day to make the change.
And three days later, you're going to have your change.
And it's not exactly what you wanted.
And so if you want to make 5 changes, it's going to take you
a month. Well, as if you, as the person
who has the business context, can make these changes yourself
(28:59):
just by prompting, then you can have the deterioration.
Look again, you can have your solution in that afternoon.
Oh. Man, I'm just thinking of
websites, you know, like how long were websites in like the
old age, like in the 90s and 2000s where you had to code, you
had to know HTML to build a website.
And then, you know, tools like Squarespace and Wix came out and
it made it easier. But there's still a lot of
(29:20):
people making a lot of money building, you know, websites for
others on Squarespace, Wix, WordPress card, whatever.
And then now we're to this iteration of websites today
where you just prompt it. You just prompt it in a vibe
coding tool or in Lindy and you get a website.
I feel like we're in like that second stage of AI agents today
that websites were in like 10 years ago.
(29:41):
That's the perfect analogy. Like, imagine if like every time
and a lot of people are still stuck in this world today, like
every time you want to make any change to your website, you've
got to go through an engineer, well, space framework, web flow,
whatever. Or you could just go and change
the the thing yourself so that that's exactly the same idea.
Yeah. Well, is there anything about
Lindy or anything cool that you're saying that I should have
(30:03):
asked you but didn't? Let's talk about computer use
real quick because we talked about the engine builder, which
I do think is like the most exciting update.
I am also really passionate about computer use because
again. Oh yeah, yeah, yeah.
Until computer use, you will limit it by the number of
integrations that you supported.And that's why Anthropic came up
to his MCP, because they're like, we want to make it easier
for people to build these integrations and plug them into
(30:25):
AI agents. But at the end of the day,
you're still going to need an engineer at HubSpot or
Salesforce or whatever to sit down and build an MCP instead.
Like with computer use, you can have your AI agent use a
computer and, and do anything that you can do on a computer.
Because a lot of solutions, theydon't want you to use them
through an API. They're never going to build an
integration, let alone an MCP integration because they don't
(30:47):
want agents to use them. So I'll give you this example of
I have a lot of spammers on Twitter and Dimensions.
It's really annoying. So I've set up this agent with
just a prompt and I was like, hey, I want you every day to
look at my mentions on Twitter and block the spammers.
You can see every day it wakes up, it starts it's computer and
then you can see on the right, this is it's computer, This is
(31:10):
what it sees and this is what itdoes.
So you can see here, it's like it's found this spammer.
I don't know why like these people always tell me it's like
this gentleman is awesome fire emoji.
Like it's so annoying. And so and so she just goes and
blocks, blocks, blocks, blocks. It's awesome.
And. So and again, it was just a
prompt and like Twitter is not going to give you actually
(31:31):
famously when Elon bought Twitter like they should do.
That, yeah. Yeah, yeah.
So we don't need an API anymore.You know, we'll just, we'll just
clicking around and same on LinkedIn.
I think I have another example here of, you know, this like
comment magnets on LinkedIn thatare really effective by the way,
as a as a lead generation mechanism.
So, for example, five days ago we posted this tweet, this
(31:51):
comment on this post on LinkedIn.
And it's like, I built CCI agent, you know, this is what it
does. It's awesome.
Like comment agent and I'll DM you the details.
Check this out. Seal these 300 comments
corresponding agents. So when we had that, we're like,
oh, this is a pain we need to answer to like seal these 300
people. Yeah, on LinkedIn.
(32:12):
And like, you know, it's like, because every time when you're
like agent hi, just sent you Admagent, you know, and in some
cases we can send DMS and in some cases people have their DMS
locked down on, on Twitter, on, on LinkedIn.
And So what we've done is that we've built CCI agent here.
And what it did, it's like, OK, I found someone who commented.
So step one, I'm going to open the profile and I'm going to try
to message the person. So you see, like it tries to
(32:35):
click message and then LinkedIn tells you, Ah, sorry, like this
is actually sort of messed up because if you lock down your
messages on LinkedIn, LinkedIn still lets people message you,
but only if they pay. You know, it's, it's kind of
crazy. And so you can see like here,
Lindy is like, Ah, snap, I can't, I can't message them.
So I'm going to go back to the comments and I'm going to reply
in the comment. And you can see here, she's
(32:56):
going in the comment and she's sending this message here, these
comments. That's like, hi, would love to
send you the template. Please DM me.
And this is just running on autopilot.
And this is like, look, this is like still this 300 comments.
So even if it only takes one minute to do per comments, which
I think it takes more than that,that is 55 hours right here
saved just not having to go and respond to those manually.
(33:18):
Flo, I'm I'm paying like $350.00a month for a many chat which
just does this. It's $350.00 a month and I use
it on Instagram. It's like if you want the
business plan, comment plan, it's a lot of money.
I didn't realize I could replacethat with this.
Like I'm just now learning this and then like, there's a lot of
things that I want to be doing, but I need to hire real people
(33:39):
for it. For instance, I get thousands of
comments per day on Instagram and Facebook, and many of them
are, are critical in bad faith, right?
I look at like negative commentsas like good faith, Like, hey,
is that even realistic to make this much money?
That's a good faith comment or bad faith.
Like, you're an idiot. I hate you.
You need to die, right? And like I, I just, I don't have
(34:00):
the bandwidth to hire a virtual assistant to go in there and
block them, but I'm not doing it.
So they're just living there. And it just bugs me, you know, I
could totally do this. I could say, hey, like discern
the sentiment analysis from thiscomment.
If it's a bad faith negative comment, delete the comment and
block the person. And then like over a month,
they'll just be so much more curated.
(34:20):
My comments. It's funny the example agent has
just showed you of the Lindy that blocks spam mails that I
mentions after I recorded this demo I just showed, I actually
updated it to do exactly what you just said, which is because
I same as you, I get these people that are just like rude.
It's just like right, obviously rude.
And so I updated the prompt to be like all the block mentions
(34:41):
containing very rude or insulting content, especially
when devoid of substance. And so yeah, I don't, I no
longer see these rude messages. It's like it saved my mental
health, honestly. Even a little bit of followers
on Twitter, like people don't understand, like your experience
changes. It just sucks.
You get these modes and your mentions.
I no longer have that anymore. That's so good.
And like even tools like many chat that, that have APIs to do
(35:04):
stuff like this, like there are automations that can respond to
my DMS or that can respond to comments, Facebook, Meta,
Instagram, like it will, it willblock me, like it can harm my
account because it thinks there's automated behavior or
whatever. Like I'm not asking you to like
absolve me of any liability, butI feel like it doing it in an
actual window makes it more likeI have an actual employee doing
(35:25):
it themselves and I'm safer fromstuff like that.
That's exactly right, 100%. It's funny, actually.
There is an episode of South Park like that where it's like
Cartman gets a lot of hate messages on Twitter and he asks
Butters to, like, filter them from him and gets, like, brain
damage looking at the head. Yeah.
That's. The idea?
Oh man, I mean even like people in my DMS like they'll send me 3
(35:48):
paragraphs. Like dude, I started this
business because of you. Like I thank you so much, like
you. And I don't see them.
Sometimes I'll go in and look and I'm like dude this is
amazing. But I don't have anyone
checking. Like I could reach out to them
and be like dude thank you so much.
It is AI, but it's better than not getting a response.
OK, let me let me show you I have another agent that does
exactly that. By the way, this is going to
(36:08):
look staged like this is we're literally just rethink for like
the listeners here. But like this is literally I
have this agent here that's likemy our ex new follower.
I'm like softballing you all these questions.
I think my viewers, they're usedto this.
Those are pretty. Universal problems that yeah,
business is running too, right? And so you can see every time we
get a new follow, will we have this Lindy wake up and she looks
(36:31):
at the the the person who just started to follow us and she
sends a message. So right here appreciates the
follow. What repetitive stuff are you
dealing with that's setting up your time?
And we're actually working on enriching this agent right now.
So like instead of sending always the same message, it can
actually research you online 1stand be like, wow, I just saw
your business did XY and Z. This is so cool.
(36:52):
Hey, have you thought about using agents for this?
And this could be tailored. Man, Yeah, well, dude, I think
what I want everyone listening or watching this to know is
these problems that I'm describing, you know, getting
all these comments and DMS, it'sprobably not yours, but this is
a problem that you can solve forother people that are publishing
content, right? Like you can offer this as a
(37:12):
service for people that don't want to read all these toxic
comments or people that want to kindly respond to people in
their DMS, maybe with a sales pitch, maybe with a thank you.
This made my day. Like this is a service you could
offer for a monthly fee just using Lindy on the back end.
That's exactly right. Yep.
You could use Lindy to find the customers and then you could use
Lindy to fulfill the customers. That's exactly right.
(37:34):
Yeah. And and we have a lot of
agencies in our customers that are like very successful at
doing that. Oh man, this is.
I don't usually get a headache within 39 minutes of talking,
but today might be a record and that's good.
Headache. Headaches are good.
It's a brave new world. Like people don't understand
what's what's happening. Like this is like the
capabilities that we're talking about today are literally 30
(37:55):
days old, right? So like, this is what I mean
when I say it's so very early. Like, I think, you know, it's
funny because when I started this company not that long ago,
it was like 2 1/2 years ago, Like I said, oh, I think like
we're not very far from having companies that are fully
autonomously managed by AI agents.
And people were looking at me like I just smoked crack.
(38:15):
And no, it's it's happening likeyou.
You're starting to see it. Well, just think of like cold
e-mail automation agencies or cold e-mail agencies.
That's the thing. It's been a thing for years,
right? I think that is basically to the
point today where if I had a cold e-mail agency, like my
customers are companies that want to send cold emails, I
could use cold emails to find mycustomers.
(38:37):
I could use Lindy to do that. And then once I find them, I
could use Lindy to craft, scrape, verify, send, reply to
reply to again, reply to again, close Stripe API, collect
payment. Yeah, like you could already do
this today. Yeah, today, like this is not
speculation. This is not a drill.
This is, this is happening 100%.Like what I really want someone
(38:58):
to do is yeah, I'm. I'm looking forward to see like
the first fully autonomous AI organizations set up by one guy.
To your point, like you could imagine, like the recruiting
example, it's like, hey, these are three 20 dates.
Like this is a DocuSign. You know, you don't pay me
anything unless I actually get you a hire through the door.
By the way, an interesting thingis like some recruiting
(39:20):
companies work like that. It's like on a contingency
basis, like you only pay us 20% of the first year salary, which
is a lot of money. It's like $30,000 plus.
But then there is fraud. It's like customers hire someone
and then they will tell you and what not.
So here what you can do, you canhave another AI agent that
checks every month as the LinkedIn profiles of the
candidates that you introduced to customers to see if they
(39:42):
joined the customer. And if so, you hit up the
customer and you're like, hey, where's my money?
So good. You can set up the whole thing
like that end to end like hey here's the docker sign.
And then once you send it, once the person signs it, like now
you have another agent that goesand starts finding candidates,
reaching out to them, booking interviews with the customer or
sending them to customer to confirm 1st.
(40:04):
And you can have the entire flowcompletely end to end, managed
by agents. I'm just picturing a company
getting an e-mail said, hey, remember when I introduced you
to John Smith for that, that technical role?
What happened to him? Oh yeah, John, he passed.
He took another job. Really.
Cuz I see on LinkedIn he's joined your company.
Invoice attached. Please pay within seven days.
Invoice paid. Yeah.
(40:24):
Yeah, Yeah. I love that.
That's exactly the idea. If that send to collections and
maybe collections is not alreadyagent, you know that's like.
I'm sure it will. This is a lawyer, a agent, You
know, that's like, hey, you're in violation of.
Yeah. Yeah, it's interesting because
we're so early, but just like there are businesses that don't
have websites today, we're goingto be 10 years from now and
(40:45):
there's still going to be peopledoing it the old way, right?
So that's not a reason for someone to wait, but it just
takes a long time for people to adapt to these new technologies.
So the sooner you act, the more you'll be ahead of your peers.
Yeah. I think at some point there is a
tipping point where it's like atfirst you get an advantage if
you adopt these technologies 1stand then at some point you are
(41:07):
at a disadvantage if you haven'tadopted these technologies.
Like, you know, today people whoaren't using computers and
they're still using like fax machines or whatever.
I don't think there's a whole lot of them.
If you're in that boat, like you're no longer at an advantage
if you use computers, you're just like behind and you're like
at the disadvantage if you don'tuse them.
Yeah, I'm picturing like a spectrum.
It's like first phase is like advantage first movers, right?
(41:29):
The biggest middle phase is table stakes, right?
You don't have a website, dude. That's table stakes.
Yeah, Like that's just like that's like like you have to
have a website and then after that it's you don't have a
website. How are you still in business?
Yeah, no, exactly. What?
How do people know how to contact you?
Yeah, Yeah. Well, still is the phase of like
advantage because like I just said, like this technology is
(41:49):
like 30 days old. Like AI agents started to work
basically 12 months ago, really.So it's still very early, which
is why we are seeing the companies and the individuals
and the agencies who are adopting these technologies
first just completely blow it out of the water.
Oh Flo, this is amazing. Lindy dot AI Lindy can.
I find you. Yep.
(42:10):
Yeah. Well, active on Twitter.
Well, active on LinkedIn. If you follow us, something on
Twitter, like an agent will be in touch with you.
Yeah. He's honest folks, he's honest.
OK, if you like this episode with the Lindy founder flow, we
spoke back on June 16th, 2025. So you can scroll back and
listen to and or watch that one as well.
And as always, I would really appreciate it if you shared with
(42:31):
a friend and used my Lindy affiliate link in the show
notes. Thanks a lot.
See you next time on the corner Office.
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