mdMalik DixonENGINEER & SYSTEMS BUILDERLet’s connect
Selected work
AI systems / PROJECT 01

TraceLogicAI

Making AI behavior visible. Evaluation, trace evidence, and runtime assurance across AI pipelines.

Live · Active development
TraceLogicAI concept illustration showing evaluation evidence across Plain, RAG, MCP, and Agent pipelines.
THE PURPOSE

Compare pipeline behavior, inspect execution evidence, and identify where AI workflows need stronger controls.

Inside the build

  • Evaluation across Plain, RAG, MCP, Agent, and Security-aware pipelines.
  • Trace evidence and remediation support for investigating workflow behavior.
  • Permission and data-access governance as part of runtime assurance.

Project summary based on Malik’s public documentation. Explore the source for implementation details and the latest status.

Source documentation