Build reliable context for AI agents

SEIF Context Workstation helps you decide what an agent may know for a particular task, prove that the intended material is present, and release that exact context as an immutable Context Build. It records why each material was selected or excluded. The Workstation can run locally; the browser app covers the core Context Lab loop.

Choose your starting point

For the complete workflow, use the project file guide, agent guide, connection guide, release guide and troubleshooting guide.

The first ten minutes

1. Open SEIF Cloud, create an account and choose a starting point such as Customer support.
2. Describe the agent’s job and behavior. In Model, connect OpenAI or use labelled Rehearsal while designing.
3. Add written knowledge in Knowledge, then Try it and inspect the actual context delivered.
4. Add or refine scenarios in Tests. Run them, create an immutable Release, and publish in development.
5. Use Integrate to call the stable URL from your backend. Report outcomes so Performance shows whether the task succeeded.
6. Switch to Context engineering for the layer map, Perspective Mixer, context tests and Context Builds. Export the project when you want its files and agent drafts on your own machine.

The context stages are Design → Test → Build → Deploy → Observe. The browser exposes the design and validation surfaces; the local app adds standalone runtime, registry promotion and historical trace investigation. Compare the surfaces.

The older SEIF protocol and CLI for provenance, workspaces and signed artifacts remain available under CLI and protocol reference. They are related foundations, while the Context Workstation is the primary product experience.