> ## Documentation Index
> Fetch the complete documentation index at: https://labs.prompthon.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Reference Notes

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This directory holds curated contributor-facing reference notes.

These notes are public repo-native artifacts. They are not imported source
material and they are not replacements for lab pages.

## What belongs here

* source maps for future lab topics
* bounded comparison notes
* short reading roundups
* contributor briefings that help future drafting

## Current notes

* [AI Education Policy To Practice](/contributor-kit/reference-notes/ai-education-policy-to-practice):
  a product-agnostic education workshop planning note on shared AI language,
  teacher-led implementation, peer learning, and practical roadmaps.
* [Enterprise Agent Control Planes](/contributor-kit/reference-notes/enterprise-agent-control-planes):
  a contributor-facing note on separating managed runtime, partner delivery,
  observability, governance, and security layers for enterprise agent systems.
* [Deep Research Product Signals](/contributor-kit/reference-notes/deep-research-product-signals): a
  contributor-facing comparison of current OpenAI deep-research positioning and
  Google's Interactions-API-based developer surface for long-running research
  agents.
* [Deep Research Source Map](/contributor-kit/reference-notes/deep-research-source-map)
* [Evaluation Workbench Signals](/contributor-kit/reference-notes/evaluation-workbench-signals): a
  contributor-facing note on current evaluation workbench patterns across
  development-loop evals, agent-workflow evals, and durable open-source repos.
* [Local Agent Tooling Source Map](/contributor-kit/reference-notes/local-agent-tooling-source-map): a
  contributor briefing for keeping local execution boundaries, runtimes,
  skills, discovery registries, MCP roots, resources, connectors,
  prompt-injection trust boundaries, and file-grounded workflows distinct in
  future drafts.
* [Open Agent Environments](/contributor-kit/reference-notes/open-agent-environments):
  a contributor note on separating environment contracts, harnesses, trainers,
  and MCP-native execution surfaces in agentic RL work.
