Stop asking one AI to do everything. The frontier isn't one model. It's knowing which model to use for which job.
@godofprompt
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Model personality swap creates perfect planner-executor combo
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The models swapped personalities this month. Opus 4.7 got more rigid and precise. GPT-5.5 got more natural and conversational. That's not a bug. That's why this combo works. One model became the perfect planner. The other became the perfect executor. Use them for what
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Opus outlines, GPT-5.5 drafts and executes
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This works beyond coding. Content strategy: use Opus to outline the argument structure. Use GPT-5.5 to draft. Research: use Opus to design the research methodology. Use GPT-5.5 to execute the analysis. Business planning: use Opus to define the framework. Use GPT-5.5 to
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External plans boost GPT-5.5’s confidence and productivity
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Step 3: Let GPT-5.5 run. It will work through the plan methodically. The key insight: GPT-5.5 is more confident when given explicit instructions from an external plan than when it generates its own. It stops second-guessing. It stops being lazy. It builds.
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Codebase analysis and rewrite planning with Claude Opus 4.7
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The exact workflow: Step 1: Open Claude. Select Opus 4.7. Prompt:
"Analyze this codebase. Write a detailed rewrite plan from first principles. Include exact file structure, line limits per file, and architectural decisions. Do not write any code. Plan only." -
Opus 4.7 tight plans enable GPT-5.5 confident execution
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Why this works. Opus 4.7 writes tight, contract-style plans. Exact file counts. Line limits. First-principles architecture. It thinks like a senior engineer scoping a project. GPT-5.5 reads that plan and executes with confidence. It deletes files, rewrites from scratch,
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Opus 4.7 plus GPT-5.5 nearly doubles benchmark scores
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Dan Shipper at Every tested this on their Senior Engineer Benchmark. The scores:
Opus 4.7 alone: low 30s GPT-5.5 alone: low-to-mid 40s Opus 4.7 planning + GPT-5.5 executing: 62.5 For reference, human senior engineers score 80-90. The combo nearly doubled either model's -
Single-model workflows: planning vs executing is flawed
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Here's the problem with single-model workflows. Planning and executing are two completely different cognitive tasks. Asking one model to do both is like hiring the same person as your strategist and your builder. Some models think beautifully but execute loosely. Others
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AI coding workflow pits Opus 4.7 planner against GPT-5.5 executor
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I tested the highest-performing AI coding workflow of 2026. It doesn't use one model. It uses two competing models against each other. Opus 4.7 plans. GPT-5.5 executes. The results aren't close. (Prompts included)
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The AI skills gap is about problem understanding, not prompts
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This is the entire AI skills gap in one sentence. The people getting the best output from AI aren’t writing better prompts. They understand the problem better before they start prompting. Same model. Same subscription. Wildly different results. The only variable is