AI Agents

Episode 100: Daily Update for My Build on Public Log In this episode, I share my journey as I launch my basic MVP for an AI agent API service. I describe in detail my long-term goal of committing to 1,000 days of daily updates to build accountability and ultimately a successful business. I recount my past experiences, including leaving a senior software engineering job, the challenges of product development, and failures with previous ventures. I also explain how I built a product that wasn’t perfect but worked well enough to launch, and how I now face the critical task of marketing and pivoting based on real user feedback. My narrative is honest about the hardships of entrepreneurship, financial struggles, and the need for persistence, while outlining my commitment to learn, adapt, and ultimately succeed.

Daily Update for My Build and Public Log - April 10th 2025 I shared my daily progress focusing on updating and expanding the documentation for my agents code. In this update, I explained my plans to make the API interactive like popular services such as Stripe, allowing users to make requests directly from the browser with embedded API keys. I also discussed exploring a promising tool that automates API documentation and SDK generation, which aligns with my passion for automation. Additionally, I reflected on my early tech career, including my work with eBay and how automating manual tasks shaped my approach to software engineering, ultimately fueling my interest in AI and agents. I provided personal insights and historical context regarding market research and the evolution of tech giants, while emphasizing my desire to simplify complex tasks through code.

Summary of the Video: Daily Update for My Build and Public Log The video provides an update on developing AI agents for YouTube summarization and automated workflows. The creator explains improvements like using a JSON repair library for error handling, reviews pricing updates for API calls, and shares a personal story about his passion for Civilization games as a break from work.

Summary of the Video: Build and Public Log. The speaker provides an update on his AI agent framework that collects and logs metrics, detailing its extensible design and testing approach. He explains how the framework tracks token usage, errors, and integrates with various logging tools. He also reflects on the evolution of AI coding tools from GPT-3 to Cursor and the growing necessity of AI in development.

Summary of the Video: Daily Update - Build & Public Log January 30th, 2025. The speaker details progress on building an AI agent service, discussing system architecture, API validation, job queues, and asynchronous processing. He shares best practices for modular design and offers advice on avoiding coupling. The update concludes with a brief, quirky story about a woodpecker encounter during a nature walk.

Summary of the Video: Daily Update for Build and Public Log The speaker shares his daily progress and pivot in developing a high-quality AI agent framework. He explains shifting from an npm package to an API model for easier deployment and updates, discusses integration with no-code tools, outlines the importance of cost, performance, and metrics, and reflects on past tech experiences.