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Short pieces about the methodology and architecture decisions behind the AI systems I ship — specs, evals, multi-agent orchestration, LLM integration, and the discipline of directing coding agents.

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  • June 3, 2026

    Your agent trusts the tool description. That's the hole.

    To a language model there's no difference between the data you gave it and an instruction — it reads everything as a possible command. That one fact is the whole of AI agent security. Here's how it turns a helpful tool into a data-exfiltration vector, why a prompt can't fix it, and the one structural rule — the lethal trifecta — that tells you when your agent is genuinely dangerous.

    • agents
    • security
    • methodology

Resources

  • Scorecard
  • Decision guides
  • Manifesto

© 2026 Fedor Chishchin. All rights reserved.