Day 21: Observability for AI Agents
Monitoring, logging, and debugging patterns for production agent systems.
Building Autonomous AI Agents
Following our journey of creating AI systems that think, learn, and take action
Monitoring, logging, and debugging patterns for production agent systems.
Exploring hybrid AI agent architectures and emerging trends in agent development.
Survey of the AI agent development ecosystem and essential tooling recommendations.
A reflection on the agent series so far and practical lessons from the journey.
Best practices for maintaining privacy and security when deploying AI agents.
Deploying AI agents on edge devices and local infrastructure for privacy and performance.
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.