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
- RAGDoes Your Knowledge Base Really Need RAG?Before building RAG, test a document knowledge base against simpler baselines. This experiment examines context stuffing and the limits of keyword retrieval.
- Workflow & AutomationDesigning a Multi-Agent Content Production SystemA content-production design divides writing, source processing, and website maintenance across AI roles, with human decisions, error checks, and an MVP boundary.
- Workflow & AutomationDesigning Fact-Checking into an AI Content PipelineAn AI content pipeline tackles repetitive writing through role boundaries, platform-specific communication, and fact-checking mechanisms built into the process.
- Knowledge & MemoryContext Engineering in the Million-Token EraManage an AI agent's working information through permanent guidance, on-demand loading, session handoffs, and context isolation instead of relying on prompts alone.
- Knowledge & MemoryCross-Session AI Memory: A Practical Handoff PatternA practical HANDOFF.md pattern for carrying decisions, current state, next steps, and known issues across AI coding sessions.