AI Agent Development

Daily Update: Build a Public Log Today I provided my daily update on the progress of building my public log, sharing both my technical challenges and the lessons learned along the way. I explained my frustrations with flawed software and the lackluster April Fool’s updates, as well as my efforts in refining the landing page and promoting my AI agent API service. I detailed my past struggles with developing agents for email tasks and recalled an intense experience with a demanding airline scheduling project. I also offered advice on seeking help when faced with overwhelming tasks. Throughout the update, I emphasized my commitment to quality, the need for robust manual coding, and the importance of active user feedback to improve agent performance.

Daily Update - Build and Public Log The creator updates on launching his AI agent API service, describing improvements in agents code, Stripe pricing integration, and backend fixes. He also shares a personal anecdote about extreme heat and disappointing beach experiences, and mentions plans for a full workflow demo later in the week.

Summary of the Video: Daily Update for Build and Public Log The video provides a daily update from February 18, 2025, discussing a new freelance project, the need to streamline work on two projects, plans for hiring help, and steps to improve code documentation and agent building. It ends with a personal anecdote about an office colleague involved in questionable insurance fraud.

Summary of the Video: Daily Update for Build and Public Log on February 5, 2025 The video details the challenges faced during a Docker configuration for a server build, including swapping Redis for Dragonfly DB and setting up a reverse proxy. It also outlines plans for a live demo of the first AI agent, and shares past experiences with crypto investments as a learning point.

Summary of the Video: Daily Update on Agent Build and LLM Experiments. The creator explains work on a universal metrics collection system for an AI agent, reviews testing various language models for speed, cost, and accuracy, and discusses the challenges of prompt adjustment. A personal update on using VR during lockdown is also shared.

Summary of the Video: Daily Update - Build and Public Log The video details the creator's progress on developing a custom AI agent framework, including benchmarking various models, troubleshooting error logging issues, and comparing performance and cost. It also touches on local weather improvements in California impacting drought conditions.

Summary of the Video: Daily Update for Build and Public Log In this update, the creator explains his progress on developing a plug-and-play event scheduling AI agent. He details handling retries, cost management, error logging, and fallback strategies. He also shares his vision for automated weekly error analysis and briefly reflects on pleasant weather contrasts with the Canary Islands.

Summary of the Video: Daily Update for Build and Public Log The video provides a daily update on the progress of an AI agent framework, including code refactoring and testing to build a solid foundation for future agent integration. The speaker also shares thoughts on VR experiences and the benefits of open, extendable platforms for developers.

Summary of the Video: Build and Public Log for December 13th 2024 The speaker shares his daily experiences including a transient lifestyle, an unexpected request to move furniture from an estranged uncle, progress on automated newsletter migration, and plans to develop AI agents for lead generation and a virtual assistant dashboard.