Tendril
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For people already in a career who want to grow their AI knowledge, improve work quality, and use AI safely inside real teams.
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Patterns for AI agents that fail well — recovering or degrading rather than crashing.
Pick the right deployment topology for your AI agent's latency and durability needs.
When and how reflection loops genuinely improve AI agent performance.
Tool API design for AI agents differs from API design for humans — here's how.
How to instrument AI agents so you can debug what actually happened in production.
How to design retrieval-augmented agent pipelines that improve grounding without injecting noise.