Building Autonomous AI Agents
Following our journey of creating AI systems that think, learn, and take action
Discover how AI agents can help you manage your personal life: email management, meeting coordination, budget tracking, meal planning, and more - no coding required.
Technical deep-dive into state machines, checkpointing, recovery strategies, and production-ready state management for AI agents handling complex workflows.
Complete guide to building AI agents: no-code platforms (Zapier, Make), low-code tools (Bardeen, IFTTT), frameworks (LangChain, AutoGen) and everything in between. Learn which tools are right for you.
Discover how AI agent memory works: context, semantic, and episodic memory, the learning loop, privacy implications, and how artificial cognition differs from human memory in crucial ways.
Technical deep-dive into multi-agent systems: hierarchical orchestration, peer-to-peer collaboration, blackboard architectures, task delegation strategies, and production-ready patterns for building teams of specialized AI agents.
Get started with AI agents for real productivity: email management, meeting coordination, research assistance, calendar optimization, and content creation—all without coding. Includes setup guide and privacy best practices.
Autonomous AI agents represent a paradigm shift in how we interact with technology. Unlike traditional software that requires step-by-step instructions, AI agents can reason about tasks, make decisions, and take action—potentially transforming everything from personal productivity to enterprise operations.
Follow along as we build systems that can help us work smarter, not harder. We'll share our journey, experiments, and insights from the cutting edge of AI development.