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Agents & Automation

Everyone's building AI agents. Almost nobody's running them in production. These posts cover what it takes — state management, error recovery, human-in-the-loop patterns, and the gap between demo-day agents and the ones that actually work.

What You'll Find Here

  • Production-focused implementation patterns for Agents & Automation.
  • Architecture and tooling decisions that hold up beyond prototypes.
  • Evaluation and reliability practices to keep AI systems trustworthy.

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