multi-plan

You can consolidate multi-model analyses into a single implementation plan by running parallel evaluations across different AI backends, then synthesizing the diverse perspectives into a unified, actionable plan with defined steps, technical solutions, and risks.

Multi-model orchestration for software architecture planning is the process of running parallel analyses across different AI backends to gather diverse perspectives. It unifies scattered insights into a single actionable plan that guides implementation and reconciles conflicting inputs.

To start a planning session to reconcile inputs from multiple AI backends, invoke the skill with a task description. This triggers parallel multi-model analysis, context retrieval, and plan synthesis, culminating in a saved plan document for auditing.

Yes, you can use multi-model planning for product planning and design validation scenarios. The skill coordinates cross-model analysis to unify scattered insights into a single actionable plan, applicable wherever inputs from multiple AI backends must be reconciled.

Synthesized implementation plans are saved to the .codex/plan/<feature-name>.md file path. This storage method ensures quick access and auditing for your software architecture, product planning, or design validation tasks.

The best way to compare architecture versus UX perspectives from different AI models is to run parallel evaluations across backends. This distributed multi-model analysis gathers diverse perspectives, which are then synthesized into a unified implementation plan.