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Inside YC's AI Playbook

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Startup founders, engineers, and operations leaders interested in leveraging AI for internal efficiency and data analysis.

TL;DR

YC's General Partner Pete Kumman shares how they transformed their organization into an AI-native one by building internal agent infrastructure. This allowed non-technical staff to interact with company data and workflows using natural language, starting with SQL queries and expanding to broader applications.

In This Video

  1. 00:00Building Super Intelligence with AI

    Use AI as a foundational layer, not just a copilot. Record artifacts for a shared organizational brain.

  2. 00:42YC's Partner Pete Kumman

    Pete Kumman, founder of Optimizely, now leads YC's AI agent infrastructure and internal AI adoption.

  3. 01:09YC's AI Journey and Startups

    YC has funded many AI companies and learned from them, adopting AI internally to become AI-native.

  4. 02:03The Genesis of Internal AI Tools

    A project started a year ago to build internal AI tools for the finance team snowballed into a major infrastructure layer.

  5. 03:04Finance Workflows and Agentic Tools

    YC's custom software and the rise of agentic coding tools inspired building agents for non-technical teams to manage workflows.

  6. 05:04Early Success: SQL Queries with LLMs

    Initial success came from LLMs writing SQL queries for the finance team, enabling non-technical users to ask complex questions.

  7. 06:04Database Access and Unlocking Potential

    Granting agents read-only SQL access to YC's unified database was a breakthrough, enabling arbitrary business questions.

Questions & Answers

How can organizations use AI beyond just a copilot?
Organizations can use AI as a foundational building layer for everything, recording artifacts to create a shared organizational brain that connects collective skills and instincts.
What is YC's AI Playbook about?
YC's AI Playbook details how they've internally built and adopted AI tools, transforming their pre-AI organization into a super AI-native one, sharing their journey and infrastructure.
How did YC start using AI internally?
YC started adopting AI internally about a year ago with a project to build tools for the finance team, enabling them to encode workflows using English prompts instead of traditional software development.
What was the first major AI tool YC built internally?
The first major AI tool was for the finance team, allowing them to run SQL queries against the YC database to answer business questions, which was a significant unlock.
What advantage does YC have in building AI tools?
YC runs on its own software, with all important data in a single Postgress database, allowing AI agents to easily access and query information about companies, founders, and financials.
How did YC's internal AI adoption change their operations?
It dramatically increased the number and complexity of questions they could ask about their business, moving beyond the limitations of traditional BI tools and enabling faster, more insightful analysis.

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Source

YouTube video. Original: https://www.youtube.com/watch?v=B246K_G7mHU
Transcript captured and processed by youtube-transcript.ai on 2026-05-28.