agent-collaboration
Agent Collaboration
Orchestrate multiple AI models as specialized agents — each assigned to what it does best. One model plans, another codes, another reviews. The planner stays in the loop, re-entering after every phase to evaluate and redirect.
When to Use
- Complex projects requiring planning, implementation, and review
- Tasks where a single model's blind spots are a risk
- When you want adversarial review to catch what self-review cannot
- Research-heavy work requiring web search, synthesis, and validation
- Math or science tasks requiring specialized reasoning
- Any task benefiting from a plan → execute → review → replan loop
- When the user explicitly asks for multi-model collaboration
When NOT to Use
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