Kane Research Podcast
Produced and curated by and for Adam Kane, this personal, audience-of-one, AI-generated podcast explores the cutting-edge world of autonomous AI assistants and process automation. It’s basically my own personal extreme filter-bubble topic-based podcast. With a focus on agentic AI—self-directed systems capable of completing tasks independently—each episode delves into how these technologies are revolutionizing industries and workflows. From intelligent agents managing complex business operations to AI-driven automation streamlining decision-making, the podcast covers it all, within these topic areas.
Episodes
In this episode, we explore a practical overhaul of ForgeBot’s solution generation pipeline, guided by a detailed document on integrating advanced AI tools. We break down a workflow split into modular stages—solution creation, evaluation, and iterative refinement—using Jira API calls to fetch task data and retrieval-augmented generation to ground solutions in solid context. We dive into how LLM-as-judge evaluations score solution q...
In this episode, the plan is to review the irreverent, snarky, and rapid-fire delivery style of Fireship and how to emulate it in the "ForgeFX-AI-Capabilities" presentation1. The presentation plan includes implementation of elements including a three-act narrative structure, AI tools, and meme-like graphics, with content tailored for operations training; and delivery using humor techniques and pacing and delivery strategies, and ac...
This episode discusses a comprehensive plan for creating a compelling presentation about ForgeFX's AI capabilities. It outlines structuring the presentation using various three-act narrative frameworks to engage the audience. The plan emphasizes integrating ForgeFX's AI tools, such as ChatGPT, FitFinder, and ProposalBot, into a cohesive story. It also suggests using meme-like visuals and dynamic graphics to make the content more me...
In this episode, we explore the rapidly evolving world of JavaScript development, focusing on the key players like Next.js, GraphQL, Supabase, Hasura, and Vercel. Our hosts dive into the complexities of building a full-stack application, emphasizing the importance of choosing the right tools and understanding their trade-offs.
We discuss the real-world challenges developers face, from server-side rendering and client-side renderin...
Vercel_vs_Supabase_vs_Hasura.mp3
In this episode of The Deep Dive, we explore the critical challenges large organizations face in managing the overwhelming volume of data at their disposal. We delve into how companies are not just struggling with data accumulation, but with leveraging it effectively to drive strategic decisions. Through insights from three engaging YouTube videos, we uncover a range of solutions and perspectives on this complex issue.
First, we lo...
Ever wondered what happens when two XR giants join forces? In this episode, we explore the exciting possibilities of a collaboration between ForgeFX and HoloLight. These two powerhouses in the immersive tech world bring their unique strengths to the table, creating a fascinating synergy that could revolutionize the training landscape.
ForgeFX is renowned for its hyper-realistic simulation training, making complex learning experienc...
Welcome to this episode of Deep Dive, where hosts Bruce and April explore the fascinating world of positive feedback loops. These self-reinforcing systems can lead to growth and efficiency across various fields, from small businesses to personal life, and beyond.
Bruce and April, seasoned experts with decades of experience, break down the concept of positive feedback loops. They explain how these loops amplify change and why under...
In this episode, we dive into the world of AI coding, exploring the transformative tools and techniques that are redefining software development. From the power of AER and Cursor to the revolutionary capabilities of OpenAI's real-time API and O1 series, we uncover the secret sauce driving innovation in the tech industry.
Join us as we delve into real-world coding sessions, showcasing how automated testing and prompt engineering can...
IndyDevDan_Channel_Overview_Raw.mp3
Ever wondered how systems get smarter over time? It's not magic—it's the power of positive feedback loops. In this episode, we dive deep into the science behind self-improving systems for those who already grasp the basics. Discover how a simple snowball effect can lead to exponential growth and how this concept is transforming technology.
Explore how recommendation systems like Netflix use collaborative filtering and matrix fact...
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