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The simplest recommendation for most leaders and operators who want strong everyday AI access without overthinking the stack.
A monthly executive field guide to the AI models, workflows, and practical prompts worth using now.
The simplest recommendation for most leaders and operators who want strong everyday AI access without overthinking the stack.
Ghostty for terminal work, Cursor for viewing and editing files, and Codex for implementation-heavy coding tasks.
Best fit when you want custom working styles, reusable instructions, and a more tailored assistant experience.
These are Amplify's current recommendations. The names will change over time. The operating principle should not: choose models by job, not by hype.
Use it when the work is ambiguous, cross-functional, or important enough that quality matters more than speed.
It is the strongest default for strategy, writing, analysis, research, and messy executive work.
Use it for implementation work that needs to touch real files, reason across a codebase, and verify its own changes.
The model is especially strong when coding is not just autocomplete, but planning, editing, testing, and debugging.
Use it to structure options, sequence decisions, and turn fuzzy goals into an execution plan.
Planning quality compounds before the first build step. The right plan prevents expensive implementation churn.
Use it for high-volume everyday tasks where speed and cost matter more than frontier reasoning.
This is the model you route routine work to so your strongest models stay focused on expensive thinking.
Use it for polished visual assets, realistic concepts, product imagery, and design inspiration.
Image generation is now practical enough to be part of normal strategy, sales, and product workflows.
The best teams are not asking which model is smartest in the abstract. They are building repeatable workflows that put the right model in the right seat.
Use GPT-5.5 for the main plan, pull in Opus 4.6 as a second opinion when the decision is high leverage, then use a Grill Me pass to pressure-test assumptions before building.
Generate the visual direction first, translate it into frontend rules and components, then let Codex implement against the actual codebase.
Use frontier models for judgment, planning, and risky work. Use fast workhorse models for repeatable summaries, drafts, extraction, and low-stakes transformations.
A cleaner decision, fewer hidden assumptions, and a path forward the team can actually act on.
A meeting recap that turns conversation into ownership, next steps, and one useful strategic observation.
A boardroom-ready memo that compresses ambiguity into options, judgment, and action.
We map your workflows, identify the highest-value AI opportunities, and rank them by dollar impact, difficulty, and readiness. If we cannot find $100K in value, you do not pay.