# Appendix 07: Choosing the Right AI for the Job # Book: Freestyle Cognition # Chapter URL: https://programmer.ie/books/freestyle-cognition/23-chapter/ # Prose fingerprint (sha256, normalized): 5bfdac69cd2dd55b3e42149235cb98b6615f97433aed4c08048f97e0cd030fc6 # Snapshot generated at build time by Hugo. This is the complete rendered prose # of the chapter; it is not a transcript of the source file. Appendix: Choosing the Right AI for the Job Model Strategy Guide – Spring 2025 Edition Not all models are created equal — and that’s a feature, not a bug. Each excels at different tasks, perspectives, and levels of sensitivity. When you’re working with AI at a high level, it’s no longer about picking the best model — it’s about assigning the right model to the right job. This appendix introduces a role-based model selection strategy — helping you orchestrate multi-model workflows that mirror how teams operate in the real world. flowchart TD Start([🎯 Task or Goal]) --> A{What role is needed?} A --> B[📝 Editor / Critic / Researcher] A --> C[🎭 Emotional Reader / Tone Coach] A --> D[💻 Technical Reviewer / CTO] A --> E[🧠 Educational / Socratic Feedback] B --> B1[GPT-4 Turbo] B --> B2[Claude Opus] C --> C1[Claude Sonnet] C --> C2[Gemini Advanced] D --> D1[Claude Opus] D --> D2[DeepSeek] D --> D3[Code Llama] E --> E1[Perplexity Pro] E --> E2[GPT-4 Turbo] B1 --> F[Clean structure, reasoning chains] B2 --> F C1 --> G[Sensitive to rhythm, emotion, metaphor] C2 --> G D1 --> H[Structure, naming, logic, maintainability] D2 --> H D3 --> H E1 --> I[Coaching through ideas with citation] E2 --> I style Start fill:#e1f5fe,stroke:#333 style A fill:#fff3e0,stroke:#333 style B fill:#e8f5e9,stroke:#333 style C fill:#fce4ec,stroke:#333 style D fill:#f3e5f5,stroke:#333 style E fill:#fff9c4,stroke:#333 style F fill:#e0f7fa,stroke:#333 style G fill:#c8e6c9,stroke:#333 style H fill:#ffccbc,stroke:#333 style I fill:#d1c4e9,stroke:#333 🧠 Why This Matters Freestyle Cognition is built around role-thinking, co-review, and collaborative refinement. When you assign models specific roles — as you would human collaborators — their value skyrockets. By matching the lens of the role with the strength of the model, you create review teams that are faster, sharper, and more honest than anything a single model could offer. 🎯 Model Role Guide (Spring 2025) Role Type Recommended Models Why Editor / Critic / Researcher GPT-4 Turbo (2024), Claude Opus Good reasoning chains, clean structure feedback Emotional Reader / Tone Coach Claude Sonnet, Gemini Advanced Sensitive to rhythm, emotional impact, metaphor Technical Reviewer (CTO, Dev) Claude Opus, DeepSeek, Code Llama Clear on structure, naming, logic, and maintainability Educational / Socratic Feedback Perplexity Pro, GPT-4 Turbo Good at coaching through ideas with citation/reasoning Note: Model capabilities evolve rapidly. This guide reflects Spring 2025. For specific tasks, especially those involving alignment (like MIRROR or CRITIC), always test a model’s sensitivity and precision before relying on it.