Reusable workflow patterns for building reliable AI systems in industrial environments
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Updated
Apr 26, 2026
Reusable workflow patterns for building reliable AI systems in industrial environments
Learning repository for testing ML workflow patterns through iterative experiments. Documents what works and what fails to enable research and citizen science initiatives.
A Rust framework for defining and running reliable long-running workflows
A Claude cowork skill for designing AI agent architectures via Socratic deep interviewing. Five-phase pipeline: interview → recommendation → blueprint → modules → prototype. Based on Anthropic's Building Effective Agents framework.
Bilingual MCP catalog of workflow patterns, server shapes, and launchable combinations with explicit evidence levels.
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