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Multi-model analysis of a task or plan #9278
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area:agentAgent workflows, conversations, prompts, cloud mode, and AI-specific UI.Agent workflows, conversations, prompts, cloud mode, and AI-specific UI.enhancementNew feature or request.New feature or request.needs-mocksready-to-specThe issue is ready for a product and technical spec.The issue is ready for a product and technical spec.repro:unknownThe report does not provide enough evidence to estimate reproducibility yet.The report does not provide enough evidence to estimate reproducibility yet.triagedIssue has received an initial automated triage pass.Issue has received an initial automated triage pass.
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area:agentAgent workflows, conversations, prompts, cloud mode, and AI-specific UI.Agent workflows, conversations, prompts, cloud mode, and AI-specific UI.enhancementNew feature or request.New feature or request.needs-mocksready-to-specThe issue is ready for a product and technical spec.The issue is ready for a product and technical spec.repro:unknownThe report does not provide enough evidence to estimate reproducibility yet.The report does not provide enough evidence to estimate reproducibility yet.triagedIssue has received an initial automated triage pass.Issue has received an initial automated triage pass.
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Describe the solution you'd like?
I want to spar GPT 5.4/5.5/etc vs Opus 4.6/4.7/etc on a task or plan and provide a rich way for me to accept parts of that plan, push back on other parts, remember what I liked about each model's decisions so future plans can benefit from that, etc
Is your feature request related to a problem? Please describe.
The problem is frontier coding models provide insights and bugs that collectively yield a better plan when run by each other
Additional context
Build this but with a richer way to evaluate the plan, accept parts of it, etc https://kau.sh/blog/agent-kombat/
Operating system (OS)
macOS
How important is this feature to you?
5 (Can't work without it!)
Warp Internal (ignore) - linear-label:39cc6478-1249-4ee7-950b-c428edfeecd1
None