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kill-ai-slop
Kill AI Slop is a multilingual field guide and agent skill that catalogues 33 common AI-generated design tells with interactive before-after demos, and provides a tool to scan and fix web projects.
AI 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
它将被动视频内容转化为交互式、基于证据的AI教练，保留不确定性，区分发言者主张与事实，并提供学习、练习、应用和参考四种模式。
适合谁使用
- 创业公司创始人
- AI代理开发者
- 创业顾问和教育工作者
- 创业学生
典型使用场景
- 针对五个关键问题（杠杆、时机、信念、动力、权力）压力测试创业假设
- 通过自适应课程和测验学习创业原则
- 完成创始人练习并获得评分和逐步提示
- 查找带有时间戳的决策规则和注意事项
项目优势
- 每项重要主张都有时间戳并与provenance.json中的证据对应
- 明确区分发言者主张、可验证事实和推论
- 四种交互模式（学习、练习、应用、参考）适应不同用户目标
- 保留不确定性，避免将修辞性数字当作基准
使用前须知
- 基于单次公开访谈，并非全面的创业资源
- 与Sam Altman、OpenAI或Y Combinator无关，是独立教育项目
- 教学材料目前为中文（但技能根据用户会话语言进行交互）
README 快速开始
Ambitious AI Startup Playbook
Turn a 39-minute founder interview into an AI coach that can teach, challenge, and pressure-test your startup decisions.
Sam Altman: "Never a Better Time to Do a Startup" — Watch on YouTube →
Most founder content gives you ideas to agree with.
This repository gives your AI agent a system to work through those ideas with you.
It transforms Sam Altman's 2026 Startup School interview, Never a Better Time to Do a Startup, into a reusable, evidence-grounded Agent Skill. Instead of summarizing the video, the skill can teach the principles, quiz you, stress-test a real startup thesis, and help you turn an ambitious vision into the next data-generating move.
What can it do?
The skill automatically works in four modes:
| Mode | What your agent does |
|---|---|
| Learn | Teaches one principle at a time, checks understanding, and adapts the next lesson |
| Practice | Gives a founder-thesis exercise, scores the attempt, and reveals hints progressively |
| Apply | Reviews a real startup idea using observable evidence, falsifiable assumptions, and concrete next steps |
| Reference | Finds the exact decision rule, caveat, source claim, and video timestamp |
It helps founders reason about five hard questions:
- Leverage: If AI makes implementation radically cheaper, are you merely shipping the old idea faster—or attempting something newly possible?
- Timing: What changed in technology, cost, iteration speed, or incumbent advantage to make this startup possible now?
- Conviction: Is your non-consensus belief getting stronger because of evidence, or only because people disagree with you?
- Momentum: What imperfect next step will generate information even if it fails?
- Power: Can the product preserve a meaningful safety floor without concentrating control or reducing human agency?
Try asking
Use ambitious-ai-startup-playbook to stress-test my startup thesis.
Do not flatter me. Find the assumption most likely to break.
Teach me how to distinguish non-consensus conviction from founder delusion.
Quiz me before showing the answer.
Review my AI product for safety, concentration of power, and user agency.
Label every conclusion as source claim,
项目描述
An evidence-grounded AI founder coach generated from Sam Altman's Startup School interview.
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