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Getting Started with FCC

The FCC (Find, Create, Critique) Agent Team Framework is a Python package that coordinates 24 AI agent personas through structured documentation workflows. Whether you are evaluating FCC for your organization, building on top of it, or running your first simulation, there is a path for you.

Choose Your Path

For Beginners

New to agent-based documentation? Start with the fundamentals. Learn what FCC is, why coordinated agent teams produce better documentation than individual prompts, and how the Find-Create-Critique cycle works.

  • What is FCC? -- Conceptual introduction to the framework
  • Key Concepts -- The essential vocabulary in under five minutes

For Developers

Ready to install and build? Get FCC running locally, execute your first simulation, and start extending the framework with custom personas.

  • Installation -- Prerequisites, setup, and verification
  • Quickstart -- From zero to first simulation in ten minutes

For Researchers

Interested in the underlying models? Explore persona dimensions, the Discernment Matrix, Design Target Factors, and the R.I.S.C.E.A.R. specification that defines each agent's behavior.

For Practitioners

Already working with documentation teams? Learn how FCC's quality gates, capability tags, and governance layer integrate with existing documentation programs.

For Decision Makers

Evaluating FCC for your organization? See the business case, adoption roadmap, and metrics that matter.

For Teams

Rolling out FCC across a documentation program? Understand phased adoption, team structures, and how the champion architecture scales coordination.

Next Steps

If you are unsure where to begin, start with What is FCC? for the conceptual foundation, then move to the Quickstart when you are ready to run code.