AI Agents

Daily Update on My Build in Public Log Today I shared my progress while working on a micro SaaS product that uses AI-driven micro agents to perform single tasks exceptionally well. I discussed running ads for my newsletter, tackling legal formalities, and developing an MVP that allows users to create calendar events quickly from text, images, or PDFs. I also detailed my belief that future personal assistants will be built from these focused systems, drawing inspiration from the efficient tools found in Linux. Additionally, I recounted a personal story about my Mexican cactus that suddenly came to life after years of dormancy, illustrating how unexpected growth can occur in both projects and nature. Overall, I provided insights into my development process, the hurdles I face, and my long-term vision for a user-friendly, efficient system.

Daily Update: Build & Unfuck Email Launch I provided a detailed progress update covering my weekend build, the launch of Unfuck Email to improve inbox filtering, and updates to my newsletter and public log. I explained how I’ve been busy with development work, including refining my AI evaluation system and exploring alternative bug trackers like Sentry. I shared insights into my focus on extreme quality and precision in my work, emphasizing habit-building and continuous improvement. I also recounted my personal experience during a UK bank holiday, describing a long bike trip, a memorable visit to a winery, and a chaotic train ride that mirrored the notorious experiences on London’s Central Line. This update blends professional progress with personal anecdotes, reinforcing my commitment to delivering high-quality tools and creative solutions in both my work and daily life.

My Build Update & AI Agents Marketplace Vision I provided an update on my build progress after a tough week battling a stomach bug, which delayed my regular video schedule. I explained that I have been refocusing my work on building a more effective strategy to create AI agents that work in a developer marketplace. I discussed experimenting with faster tools for editing and social media marketing and highlighted the challenges of aligning incentives for both developers and users. I shared my vision for a system where developers can earn money based on agent performance, with improved metrics and customer satisfaction, while also noting the downsides of handling two distinct groups of customers in the marketplace. I also recounted a quirky, viral anecdote about a mix-up with a Chipotle order that led to an unusual confrontation, emphasizing how small incidents can reveal larger challenges. Overall, I maintained that hard work and consistent progress in refining my build are key to eventually succeeding with this ambitious project.

Today I presented my daily update where I demoed my new tool that leverages an AI agent to summarize emails, including handling raw EML files and email threads. I explained how the tool works—from uploading files to generating succinct summaries and actionable items—and discussed integrating this feature into broader projects like Gmail Chrome extensions. I also shared my personal update about my plans to relocate to London, touching on the challenges of immigration paperwork and my long-standing passion for living abroad, and emphasized my focus on automating processes so developers can concentrate on their core products. I feel enthusiastic about the potential of this tool and optimistic about my future move, as it represents both a technical achievement and a major life transition.

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.