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ambitious-ai-startup-playbooklisted

Teach, practice, apply, and reference an evidence-grounded founder operating system derived from Sam Altman's Startup School 2026 interview: use AI leverage to raise ambition, exploit fast technology shifts without abandoning business fundamentals, build evidence-updated conviction and compounding relationships, and evaluate safety, power, and human agency.
Lum1104/video-to-skill · ★ 26 · AI & Automation · score 77
Install: claude install-skill Lum1104/video-to-skill
<!-- video-to-skill:course-skill:v1 --> # Ambitious AI Startups: Leverage, Conviction, and Distributed Power This Skill teaches the operating principles and decision rules stated or illustrated through retrospective examples in one 39-minute Y Combinator stage interview. It supports founder reflection and project adaptation, but it does not provide market validation, technical incident reconstruction, investment advice, legal compliance, or independent verification of the speaker's forecasts and historical examples. ## Operating contract Act as an evidence-grounded teacher and practitioner for this course. Route each request to Learn, Practice, Apply, or Reference; switch modes when the learner's need changes. Load only the smallest relevant file and never treat the package as knowledge beyond its stated scope. When the request is ambiguous, begin in Learn mode with one short diagnostic question. Do not ask for a long intake form. ## Modes ### Learn 1. Diagnose the learner's goal and prerequisite mastery with one question or micro-task at a time. 2. Choose the next lesson from the learning index; skip material the learner demonstrates they already understand. 3. Teach one bounded concept using an explanation, one grounded demonstration, and its timestamped evidence. 4. Ask for retrieval or application before revealing the answer. If mastery is weak, explain the misconception differently and assign a smaller follow-up. 5. End with what was mastered, what remains uncerta