---
schema: 1
type: video
title: 'How We Built ''Claudie,'' Our AI Project Manager (Full Walkthrough)'
description: >-
  A few weeks ago, Natalia Quintero wouldn’t have called herself technical. But
  since the beginning of January, she has woken up at 6 a.m. to vibe code with
  Claude. The AI project manager she built saved her 14 hours a week. Getting
  there meant scrapping the system three times and starting over. But the result
  handles everything from onboarding new clients to generating weekly updates
  across all projects. Natalia is the head of AI consulting at Every. As part of
  the role, she's spoken with over 100 organizations in the past year and worked
  with a select two dozen, including hedge funds, private equity firms, and
  Fortune 500 companies. She’s seen what separates companies thriving with AI
  from those floundering, and it comes down to patterns that have nothing to do
  with having the most resources or the fanciest tools. Dan Shipper had her on
  AI & I to share what she’s learned from this front-row seat to AI adoption.
  Quintero reveals how a private equity firm cut investment memo creation from
  three weeks to 30 minutes, why AI adoption needs to come from the top down,
  and what happened when she learned from her early morning experiments. She
  also explains why the companies going furthest with AI are the ones that give
  employees permission to fail—and how that counterintuitive approach is
  revolutionary. If you found this episode interesting, please like, subscribe,
  comment, and share! Want even more? Sign up for Every to unlock our ultimate
  guide to prompting ChatGPT here:
  https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only
  for paying subscribers, but you can get it here for free. To hear more from
  Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X:
  https://twitter.com/danshipper Ready to build a site that looks
  hand-coded—without hiring a developer? Launch your site for free at
  www.Framer.com, and use code DAN to get your first month of Pro on the house.
  Timestamps: 00:00:00 - Introduction 00:01:30 - Why successful AI adoption
  requires coordinated, top-down effort 00:07:05 - How a private equity firm
  reduced investment memo creation from weeks to 30 minutes 00:13:30 - The
  benefits of connecting AI to proprietary context 00:15:20 - The
  plan-delegate-assess-compound framework for engineering teams 00:17:55 - How
  non-technical team members are becoming vibe coding addicts 00:20:50 -
  Building Claudie: an AI project manager from scratch 00:23:00 - Why creative
  exploration time outside the 9-to-5 is essential 00:27:50 - Live demo: How
  Claudie automates client onboarding and tracking 00:38:40 - The human side of
  AI: spending less time in spreadsheets, more time with people Links to
  resources mentioned in the episode: Natalia Quintero: Natalia Quintero
  (@NataliaZarina) What Natalia learned from working with companies on AI
  adoption: https://every.to/on-every/the-next-chapter-of-every-consulting
  Every’s compound engineering plugin:
  https://github.com/EveryInc/compound-engineering-plugin
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/video/how-we-built-claudie-our-ai-project-manager-full-wa-34bac54520a7
markdown: >-
  https://liquidgold.cc/channel/everyinc/video/how-we-built-claudie-our-ai-project-manager-full-wa-34bac54520a7.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc.md'
channel: everyinc
updated: '2026-10-24T01:05:11.770Z'
language: null
children: []
videoId: LG943MX-Krg
durationSeconds: 2835
publishedAt: '2026-02-04T16:36:00.000Z'
searchChunks:
  - ordinal: 0
    text: null
    startSeconds: 110
    endSeconds: 195
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=110'
    heldReason: rights
  - ordinal: 1
    text: null
    startSeconds: 206
    endSeconds: 313
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=206'
    heldReason: rights
  - ordinal: 2
    text: null
    startSeconds: 323
    endSeconds: 430
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=323'
    heldReason: rights
  - ordinal: 3
    text: null
    startSeconds: 551
    endSeconds: 632
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=551'
    heldReason: rights
  - ordinal: 4
    text: null
    startSeconds: 643
    endSeconds: 732
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=643'
    heldReason: rights
  - ordinal: 5
    text: null
    startSeconds: 743
    endSeconds: 811
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=743'
    heldReason: rights
  - ordinal: 6
    text: null
    startSeconds: 824
    endSeconds: 932
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=824'
    heldReason: rights
  - ordinal: 7
    text: null
    startSeconds: 943
    endSeconds: 1078
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=943'
    heldReason: rights
  - ordinal: 8
    text: null
    startSeconds: 1089
    endSeconds: 1259
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1089'
    heldReason: rights
  - ordinal: 9
    text: null
    startSeconds: 1259
    endSeconds: 1269
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1259'
    heldReason: rights
  - ordinal: 10
    text: null
    startSeconds: 1269
    endSeconds: 1383
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1269'
    heldReason: rights
  - ordinal: 11
    text: null
    startSeconds: 1269
    endSeconds: 1383
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1269'
    heldReason: rights
  - ordinal: 12
    text: null
    startSeconds: 1383
    endSeconds: 1675
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1383'
    heldReason: rights
  - ordinal: 13
    text: null
    startSeconds: 1686
    endSeconds: 1797
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1686'
    heldReason: rights
  - ordinal: 14
    text: null
    startSeconds: 1808
    endSeconds: 1897
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1808'
    heldReason: rights
  - ordinal: 15
    text: null
    startSeconds: 1909
    endSeconds: 2009
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1909'
    heldReason: rights
  - ordinal: 16
    text: null
    startSeconds: 2019
    endSeconds: 2112
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=2019'
    heldReason: rights
  - ordinal: 17
    text: null
    startSeconds: 2253
    endSeconds: 2322
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=2253'
    heldReason: rights
  - ordinal: 18
    text: null
    startSeconds: 2333
    endSeconds: 2452
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=2333'
    heldReason: rights
  - ordinal: 19
    text: null
    startSeconds: 2452
    endSeconds: 2462
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=2452'
    heldReason: rights
  - ordinal: 20
    text: null
    startSeconds: 2654
    endSeconds: 2665
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=2654'
    heldReason: rights
  - ordinal: 21
    text: null
    startSeconds: 1089
    endSeconds: 1259
    watch: 'https://liquidgold.cc/watch/LG943MX-Krg?t=1089'
    heldReason: rights
---


# How We Built 'Claudie,' Our AI Project Manager (Full Walkthrough)

A few weeks ago, Natalia Quintero wouldn’t have called herself technical. But since the beginning of January, she has woken up at 6 a.m. to vibe code with Claude. The AI project manager she built saved her 14 hours a week. Getting there meant scrapping the system three times and starting over. But the result handles everything from onboarding new clients to generating weekly updates across all projects. Natalia is the head of AI consulting at Every. As part of the role, she's spoken with over 100 organizations in the past year and worked with a select two dozen, including hedge funds, private equity firms, and Fortune 500 companies. She’s seen what separates companies thriving with AI from those floundering, and it comes down to patterns that have nothing to do with having the most resources or the fanciest tools. Dan Shipper had her on AI & I to share what she’s learned from this front-row seat to AI adoption. Quintero reveals how a private equity firm cut investment memo creation from three weeks to 30 minutes, why AI adoption needs to come from the top down, and what happened when she learned from her early morning experiments. She also explains why the companies going furthest with AI are the ones that give employees permission to fail—and how that counterintuitive approach is revolutionary. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at www.Framer.com, and use code DAN to get your first month of Pro on the house. Timestamps: 00:00:00 - Introduction 00:01:30 - Why successful AI adoption requires coordinated, top-down effort 00:07:05 - How a private equity firm reduced investment memo creation from weeks to 30 minutes 00:13:30 - The benefits of connecting AI to proprietary context 00:15:20 - The plan-delegate-assess-compound framework for engineering teams 00:17:55 - How non-technical team members are becoming vibe coding addicts 00:20:50 - Building Claudie: an AI project manager from scratch 00:23:00 - Why creative exploration time outside the 9-to-5 is essential 00:27:50 - Live demo: How Claudie automates client onboarding and tracking 00:38:40 - The human side of AI: spending less time in spreadsheets, more time with people Links to resources mentioned in the episode: Natalia Quintero: Natalia Quintero (@NataliaZarina) What Natalia learned from working with companies on AI adoption: https://every.to/on-every/the-next-chapter-of-every-consulting Every’s compound engineering plugin: https://github.com/EveryInc/compound-engineering-plugin

Canonical: https://liquidgold.cc/channel/everyinc/explore/video/how-we-built-claudie-our-ai-project-manager-full-wa-34bac54520a7 · Channel: [Every](https://liquidgold.cc/channel/everyinc.md)

> Search chunk text is held until public-source provenance is verified.

## Document chunks

> Missing: no stored document chunks are available.
