Gauntlet AI (YC S17): Fly you to Austin, train you in AI, give you $200k+ job

Ten weeks. No shortcuts.

Ten weeks of sustained execution that resets how you build. You emerge able to design and ship production-grade AI systems that advance your career.

The Problem

You're already reading the papers, experimenting between meetings, pushing yourself to stay ahead. That energy is real — but scattered effort won't close the gap. You need a forcing function to go from curious to dangerous.

Gauntlet exists because the gap between "experimenting with AI" and building with it as a core primitive doesn't close gradually. It closes in a compressed burst of focused execution.

The Format

Gauntlet is a controlled environment for sustained execution — where every week produces visible proof of what you can build.

• Fully Funded: Travel, housing, food, compute, model access are paid for by hiring partners looking to recruit Gauntlet talent.
• Full-time from day one: Establish pace, tool fluency, and architectural discipline before the real pressure starts.
• In-person in Austin: Relocate. Build in-person. The proximity, intensity, and accountability change how you operate.
• Real-time Evaluation: Companies watch you build in real time. Not your résumé — your output, your reasoning, your response to pressure.
• Cutting-edge Tools: Challengers use the latest models to extend their skills and push what is possible.
• Weekly Shipping: Ship every week. Real constraints. Real deadlines. No hypotheticals.

Proof, Not Promises

Companies don't guess about Gauntlet graduates. They've already watched you ship — under pressure, with rising standards, for ten straight weeks.

• Starting Compensation: $200k - $950k
• Interviews: First-round interviews secured with partners.
• Duration: 10 weeks of sustained execution.

"I came in thinking I was strong. By week four, I realized I'd been building with one hand tied behind my back. By week ten, I couldn't imagine going back."

The Curriculum

Two phases. Escalating complexity. By the end, you're building systems that would have been unimaginable at the start.

Phase 1: AI-First Engineering (Remote)

• Week 1-2: Launch: Immersive launch into AI-first engineering. Establish core workflows, coding alongside intelligent agents (Claude Code, Cursor, Codex, MCP).
• Week 3-4: RAG & Context: Focus shifts to applying AI-first workflows to enterprise-scale codebases using Vector databases (Pinecone, Weaviate, Qdrant) and RAG frameworks.
• Week 5: Agents: Design and ship production-ready AI agents emphasizing reliability and evaluation.

Phase 2: The Gauntlet (In-person in Austin)

• Week 6-7: Client Projects: Execute multiple real client projects, translating ambiguous requirements into production-ready systems.
• Week 8: Enterprise & Fine-tuning: Work with large-scale systems, adapting and deploying fine-tuned models within enterprise constraints.
• Week 9: Agentic Refactoring: Modern AI meets legacy software as challengers coordinate agent teams to refactor and modernize complex codebases.
• Week 10: Multi-modal & Capstone: Rapidly learn new domains (Eleven Labs, Midjourney, etc.) and deploy a comprehensive AI system capable of real-world optimization.

Is This You?

You need to be more than curious. You need to be committed.

• You've shipped production systems — not just side projects.
• You're obsessed with getting better, not just getting by.
• You want feedback that's honest, not comfortable.
• You'll go all-in for ten weeks — no hedging.
• You'd rather be judged on what you build than where you went to school.

Applications for Cohorts 5, 6, and 7 (starting 2026) are reviewed on a rolling basis. Don't wait.