Marblism For Dummies

Marblism For Dummies

Marblism for Dummies is the no-jargon podcast that helps everyday business owners build their own AI workforce. Each episode introduces a Marblism AI Employee and shows how they solve real business problems—from sales and marketing to customer service, operations, legal, and administration. Learn practical workflows, smarter systems, and simple automation that helps your business grow—one AI Employee at a time.

Episodes

August 25, 2026 5 mins
Every business hears customer feedback — but most teams don’t have time to read, sort, and act on it. In this episode we introduce Insight Iris, an AI employee that gathers reviews, support tickets, survey responses, and chat transcripts, finds repeating issues and feature requests, ranks them by likely business impact, and drafts clear summaries and response templates for a human to approve. Through a plain-English int...
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Small businesses lose cash and time chasing late invoices. This episode introduces Dunning Dana, a role-based AI employee built to automate billing follow-up with clear timing, human tone, and escalation rules. In a friendly interview format, Alisson and EVA walk through the real costs of slow payments, explain the simple logic behind an empathetic dunning workflow, and share a step-by-step blueprint a service business can set up i...
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Many small businesses treat meetings like memories: useful in the moment, forgotten afterward. Minute-Maker Mira changes that by acting as a reliable meeting assistant that listens, summarizes, and turns conversation into clear next steps. In this episode we interview a founder and an EA who used Mira to cut meeting follow-up time in half, improve task completion rates, and make accountability simple. We’ll explain how Mira i...
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On Marblism for Dummies we introduce FAQ Freddie, an AI employee that captures repeat customer questions and turns them into a living, searchable knowledge base that powers faster support, clearer sales answers, and smoother onboarding. In this interview Alisson and EVA talk through a real small-business example where FAQ Freddie pulls from emails, chat transcripts, and CRM notes to draft FAQ articles, short help scripts, canned ch...
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Many small businesses know referrals are gold—but turning casual praise into predictable leads is messy, inconsistent, and depends on one person remembering to ask. In this episode we introduce Referral Reggie, an AI employee designed to make referrals repeatable and measurable while keeping the human touch. Through a friendly interview we explain the simple rules that turn customer delight into an ongoing referral program: t...
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Starting a new client relationship is one of the highest-impact moments for any small business — and also one of the easiest to fumble. In this episode we introduce Onboarding Olive, an AI employee designed to streamline client intake, collect necessary paperwork, align internal teams, and keep every new hire, client, or project kickoff on track. Through a practical interview, we cover the common onboarding pain points busine...
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Many small businesses lose customers not because of price or quality, but because complaints are slow, inconsistent, or handled poorly. In this interview episode, Alisson talks with a local service owner and the Marblism implementer who built Resolution Riley — an AI employee that listens to customer messages, categorizes the issue, drafts an empathetic response with suggested remedies, and flags urgent or refund requests for...
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Every slow follow-up is a lost opportunity. In this episode of Marblism for Dummies we introduce Qualification Quinn, a focused AI Employee that turns chaotic lead lists into a steady stream of qualified prospects. Designed for everyday business owners who are overwhelmed by noisy inbound leads, this interview shows a practical, non-technical blueprint: how a short qualifying flow captures intent, collects context, integrates with ...
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In this interview episode of Marblism for Dummies, hosts Alisson and EVA talk with a small-service business owner who built 'Proposal Piper'—an AI Employee that reads intake notes, pricing rules, and past scopes to draft polished proposals and clear scopes of work. We break down the real problem: slow, inconsistent proposals that lose momentum and confuse clients. In plain language we explain how a role-based AI assistant can...
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This episode introduces Expansion Eli, a Marblism AI Employee built to help small businesses and service providers find revenue already sitting in current accounts. In plain English we explain how simple signals—recent purchases, slower usage, repeated support requests, or milestone anniversaries—become triggers for timely, human-sounding outreach. Through a real example (a local marketing agency spotting add-on service...
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Contracts pile up, dates get missed, and important obligations hide in paragraphs of legalese. In this interview episode we introduce Contract Concierge Clara, an approachable AI Employee designed for everyday business owners who need contract clarity without legal risk. You’ll hear how Clara digests agreements, pulls key dates (renewals, notice periods, deliverables), highlights obligations and payment milestones, and produc...
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Many small businesses win the job but lose future revenue because aftercare is inconsistent. This episode introduces Care Continuity Connor, an AI Employee built to own post-service follow-up: warranty reminders, maintenance scheduling, satisfaction checks, and gentle offers for service plans. In plain language we’ll explain how Connor captures who needs follow-up, drafts personalized outreach, schedules appointments, and fla...
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Many small businesses lose revenue and waste time because appointments are missed or last-minute reschedules scramble the day. In this interview episode we introduce the No-Show Neutralizer, a single Marblism AI Employee that confirms bookings, triages reschedule requests, sends timed SMS/email reminders, verifies prep instructions, and hands exceptions to a human. We talk with a local service owner and a Marblism workflow designer...
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Meetings are where decisions should happen — but too often they leave teams with fuzzy next steps, lost context, and stalled progress. In this episode we introduce the Meeting Minute Maestro, a Marblism AI Employee that prepares agendas from simple prompts, captures clear meeting notes, extracts action items, assigns follow-ups, and drafts the summary your team can actually use. Through a practical interview with a founder wh...
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Many small service businesses win work but lose time and money between sending an estimate and getting paid. This episode introduces Invoice Ivy, an AI employee that closes that gap: it standardizes estimates, suggests clear pricing tiers, drafts client-friendly follow-ups, schedules approvals, and converts approved estimates into invoices with payment links. In plain language we’ll explain inputs (estimates, pricing rules, j...
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Many small businesses lose time repeating the same answers or relying on a single person who knows how things work. This episode introduces the Knowledge Base Librarian — an AI Employee that listens to real customer interactions and turns them into clear FAQs, help articles, and starter SOPs. In plain language we explain how this AI employee reduces onboarding friction, speeds customer support responses, protects institutiona...
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Content Calendar Conductor shows business owners how one focused AI employee turns scattered ideas, customer questions, and existing assets into a predictable, evergreen content calendar that actually drives customers. In this episode Dr Marblism, Alisson, EVA, Sonny, and Penny walk through a simple blueprint: feed the AI your past posts, FAQs, product notes, and upcoming promotions; it organizes topics by customer stage, suggests ...
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This episode shows business owners how to build the Onboarding Orchestrator — a single practical AI employee that owns new-client kickoffs. In a fast, panel-style conversation Dr Marblism leads hosts through a no-jargon blueprint that collects intake info, prepares welcome packets, schedules kickoff meetings, assigns tasks to teammates, and drafts the first-week checklist clients actually follow. We use a single industry exam...
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Many small businesses lose opportunities before they even begin — slow or generic responses, unclear lead priority, and no consistent qualification process. This episode introduces the Lead Qualification Librarian, a single AI employee that reads new inquiries (emails, form submissions, calls notes), scores fit and urgency, suggests the best next action, and drafts tailored messages or meeting invites. In plain language we ex...
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Too many small businesses lose deals not because their service is weak, but because proposals are slow, confusing, or hard to compare. This episode introduces Proposal Pilot — a single AI Employee that listens to intake notes, assembles scope options, formats pricing tiers, and drafts a friendly follow-up so prospects can say yes faster. In plain English we explain how Proposal Pilot reduces friction between a consultation an...
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