# Ergin Satir - The Useful Layer

> Ergin Satir is a senior product leader at Apple, former founder, and hands-on builder based in Austin. He turns uncertain ideas into useful products and keeps learning by making.

Ergin Satir is a senior AI product leader at Apple, former founder, and hands-on builder based in Austin, Texas. He explains AI in plain language and helps leaders and teams move from AI ambition to clear opportunities, trusted products, and practical action.

## Primary pages

- [Home](https://www.ergin.fyi)
- [Bio](https://www.ergin.fyi/about): Ergin's route from founder to global AI/ML product leadership.
- [Repository](https://www.ergin.fyi/repository): One index for public projects, posts, and practical AI product playbooks.
- [Projects](https://www.ergin.fyi/repository#projects)
- [Posts](https://www.ergin.fyi/repository#posts)
- [Playbooks](https://www.ergin.fyi/repository#playbooks)
- [Speaking, workshops, and advisory](https://cal.com/erginsatir): Selected conversations for leadership teams, product organizations, and event audiences.
- [Decision Compiler](https://www.ergin.fyi/studio): A transparent AI decision instrument.
- [LinkedIn](https://www.linkedin.com/in/erginsatir/)
- [Book a call](https://cal.com/erginsatir)

## Published posts and playbooks

- [AI beyond ChatGPT: five roles it can play in real work](https://www.ergin.fyi/writing/ai-beyond-chatgpt-five-roles): A plain-English guide to how AI can answer, create, recommend, help decide, and act—and what each role asks from the people using it.
- [The AI evaluation plan product teams can actually run](https://www.ergin.fyi/writing/ai-evaluation-plan-for-product-teams): Replace a vague quality score with a product-specific system for deciding whether to launch, expand, redesign, or stop.
- [The earned-autonomy ladder for AI products](https://www.ergin.fyi/writing/earned-autonomy-ladder-for-ai-products): Decide what an AI system may observe, recommend, draft, or execute—and what evidence it must earn before receiving more authority.
- [The model is not your moat. The loop might be.](https://www.ergin.fyi/writing/model-is-not-your-moat-loop-might-be): Five places durable AI product advantage can accumulate after model access becomes ordinary: workflow, feedback, evaluation, trust, and distribution.
- [The one-page AI opportunity brief](https://www.ergin.fyi/writing/one-page-ai-opportunity-brief): Turn a vague AI idea into a testable product bet with a named decision, observable value, and an explicit stop rule.
- [AI roadmaps should start with a decision, not a model](https://www.ergin.fyi/writing/ai-roadmaps-start-with-a-decision): A practical way to move from model capability to user behavior, product loops, and durable value.
- [A prototype is a question, not a tiny product](https://www.ergin.fyi/writing/prototype-is-a-question): How to use AI prototypes to collapse uncertainty instead of accumulating premature software.
- [The AI PM's second backlog: uncertainty](https://www.ergin.fyi/writing/the-uncertainty-backlog): AI teams need a visible system for managing what they do not yet know—not only what they plan to ship.

## Topics

AI product leadership, executive AI education, AI strategy, speaking and workshops, human-AI decisions, trust, testing, feedback, generative AI prototyping, adoption, and operating AI at global scale.

For extended context and full note text, see https://www.ergin.fyi/llms-full.txt.