Tag
agent orchestration
Agent orchestration covers the control layer that coordinates multiple AI agents: task routing, state handoff, memory cleanup, and execution order. It matters when workflows span planning, generation, evaluation, and iterative refinement, especially in systems built for reliability rather than one-off prompts.
4 articles
Agent orchestration is the missing layer for enterprise AI
Agent orchestration coordinates multiple AI agents so enterprises can control handoffs, governance, and production workflows.
Copilot Studio shifts to GPT-4.1 by default
Microsoft is retiring GPT-4o in Copilot Studio for generative orchestration and making GPT-4.1 the default model starting Oct. 27, 2025.
OpenClaw and the New Solo Builder Stack
One builder runs 8 orchestrators and 35 personas on a homelab, using OpenClaw to ship writing, research, and ops in parallel.
Harness Engineering: From Bridle to Operating System, The Missing Link in AI Agent Reliability
Harness Engineering is the discipline of designing external control frameworks for AI Agents. By integrating context engineering, architectural constraints, and garbage collection, it transforms unreliable large models into dependable production systems.