AI Workflows & Teams
Organize processes, materials and responsibilities so work can be repeated and shared.
Make a one-off method repeatable and transferable
Recommended reading
Should AI Work Live in a Project, Folder, or Conversation?
Give projects, files and conversations distinct roles, with an established place for important results.
Agents & Collaboration
- Agents & CollaborationHow to Use OpenAI dot for Work: Lessons from Real TasksLessons from using OpenAI dot for research, content and website work, with a reusable task brief, decision handoff and guidance for reviewing deliverables.
- Agents & CollaborationAn Agent Is More Than an LLM: How State, Tools, and Memory Form a Working SystemLearn how State, Context, Memory, Retrieval, Tools, and the Agent Runtime form a working closed loop—and why system truth should live outside model-generated text.
- Agents & CollaborationAction Space, Permissions, HITL, and Stop Conditions: How to Give an Agent Capability Without Losing ControlLearn how Action Space, least privilege, runtime permissions, HITL, reversibility, budgets, and Stop Conditions keep an Agent capable without giving it unlimited agency.
- Agents & CollaborationHow to Design Agent Permissions, Approvals, Stops, and RecoveryLimit access first, require approval before consequential actions, define stop conditions, and verify a recovery path before the agent runs.
- Agents & CollaborationAI Agent Definition of Done: How to Define CompletionReliable agents need observable completion criteria. Define tasks, outcomes, failure cases, and human calibration before treating an AI workflow as dependable.
- Agents & CollaborationWhat Is an Agent Harness? Lessons from Claude’s Public Engineering GuidesClaude's public engineering guides show how an agent harness defines context, tools, stop conditions, permissions, and traceability.
- Agents & CollaborationAI Agent Evaluation: Why “Done” Is Not CompletionAn agent response, an artifact, a verified result, and a real-world outcome are different things. Use a four-layer definition of completion for AI agent evaluation.