# Project Brief

lda.chat is a workflow substrate for AI-agent-facing workspace automation. The
prototype separates external planning from deterministic workflow execution.

Key achievements:

- Typed Draft, Artifact, Deployment, Run, and Trace lifecycle records.
- Source-provider boundary for platform, MCP, Python, and experimental OpenAPI
  sources.
- JSON-RPC and CLI surfaces usable by external agents and human operators.
- Deterministic report and browser-click examples with audited agent challenge
  runs.

Current positioning:

- The system is not a bundled autonomous planner.
- External agents or humans operate the workflow lifecycle.
- The next product-facing step is a local Workflow Console and defense demo.