In Part 2, we looked at the range of model capability. Now let’s make it practical. After more than 100 hours of testing, I have developed a fairly simple approach. I choose the product, model, and reasoning setting based on the type of work I am doing (not cost - yet). 🧠 Heavy Logic, Planning and Structure, for work such as: - Business proposals - Strategic frameworks - Complex planning - Coding - Difficult analysis - Multi-step problem solving - Assignments where maintaining context is critical - Consistency of theme or storyline For these applications, I want stronger reasoning, even if it takes longer. Product: ChatGPT Model: GPT-5.6 Sol Setting: High reasoning and for my book editor skill, Pro. Product: Claude Model: Claude Opus 5 Setting: High effort, with extended thinking when needed For these assignments, creativity in the delivery is secondary. My priorities are logic, structure, context integrity, planning, and getting the framework right. I rarely go higher, but keep in mind, most of what I do is front office business execution: strategy, project management, process refinement, education and training, and Cowork automation. I use Fable 5 rarely. I am not primarily using Claude to build sophisticated production applications. ✍️ Writing and Everyday Communication, for: - Blog posts - Creative writing - Emails - Business communication - Social posts - Editing and rewriting I usually want a capable model that leaves a little more room for creativity and variation. Product: Claude Model: Claude Sonnet 5 Setting: Standard/default effort Product: ChatGPT Model: GPT-5.5 Instant Setting: Instant I still use GPT-5.5 for this type of work while it remains available to me. The Interesting Exception: Image Creation Image creation breaks my normal rule. Why? I need the LLM to understand: - What I am trying to communicate - The audience - Composition and hierarchy - Style and mood - The creative objective So I need reasoning. But I also want the system to have enough freedom to interpret the brief creatively.