dev-ask

You can get a second opinion by querying a specific target model like Codex or Gemini with a model-agnostic question. This single-shot advisory approach returns the answer labeled with the originating model to validate reasoning or compare approaches.

Cross-model validation involves querying another model like Claude or Gemini with the same question to confirm an existing response. It supports quick validation by comparing how different models approach the same root cause or bug.

Yes, you can compare Claude's bug fix against Codex by running a single-model advisory query. You target one specific model with your question and receive a labeled response to quickly validate the original approach.

Yes, you need dev-mcp-setup to route advisory queries to different models. API-backed dispatch and configuration gating require this setup to successfully query target models like Claude, Codex, or Gemini.

You can save cross-model validation results for later review by storing them in a consistent workspace research file. This optional feature captures advisory answers for future comparison.

You should use single-model advisory instead of parallel multi-model comparison when you want a fast second opinion from a focused target model rather than parallel execution. It is ideal for confirming one specific response.