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.

All articles

  1. 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.
  2. Workflow & AutomationThe Model Can Be Fine and the System Can Still Fail: What Does Production AI Reliability Actually Mean?Learn why model quality alone does not make an AI application reliable, and how retrieval, tools, validation, fallback, observability, latency, cost, and evaluation shape production outcomes.
  3. Workflow & AutomationLLM, RAG, Workflow, or Agent? Choosing the Minimum Necessary ComplexityLearn when to use deterministic code, an LLM, Retrieval or RAG, a Workflow, an Agent, or Multi-Agent—and why the simplest architecture that satisfies the task is often the strongest choice.
  4. 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.
  5. 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.
  6. Knowledge & MemoryHow to Build AI Long-Term Memory with a Memory RouterBuild a small Memory Router that controls scope, retrieval, context injection, and version status without loading an entire knowledge base into every AI conversation.
  7. Knowledge & MemoryShould AI Work Live in a Project, Folder, or Conversation?Organize recurring AI work by duration, shared context, and saved outputs so projects, folders, and conversations each have a clear role.