Bulk Content Engine: How Context and RAG Tags Make the Orchestrator Smarter
My Bulk Content Engine now pauses and resumes at any point, because the orchestrator maintains its own context — plus RAG tags per task.
in AI Orchestration
Mehrere KI-Agenten koordiniert zusammenarbeiten lassen.
My Bulk Content Engine now pauses and resumes at any point, because the orchestrator maintains its own context — plus RAG tags per task.
Three frontier models, the same 1000-line script, three different finding lists — and why that very spread makes multi-orchestration strong.
The difference between fixed, predefined workflows and autonomous AI agents — with Anthropic's definition, the trade-offs, and a clear decision guide.
How multiple AI agents work together: orchestrator-worker, supervisor pattern, task splitting and synthesis, and when multi-agent actually pays off.
A2A is an open protocol for communication between independent AI agents across vendors — how it differs from MCP, and use cases in multi-agent systems.