L E S S O N S - with Lennox Saint

Lennox Saint
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$32,700 in savings. 10 months of runway. non-technical founder building a real SaaS to $10K/month using only AI tools - or going broke trying. this playlist is my full journey from $1,940 MRR to $10K MRR, filmed in real time with real numbers. the wins. the f**k-ups and the dollars. no code experience. no safety net. just AI tools and a deadline. new videos every week. subscribe to see how it ends.

  1. 3d ago

    The Rescue Ledger: Can ChatGPT Voice Run an AI Video Team?

    ChatGPT Voice had 90 minutes to coordinate three blind reviewers, keep two AI video editors anonymous and return one decision package. The rules were set before the clock started: deliver the work without leaking model identity and stay under the rescue threshold - or get put on probation or fired. The run shows what polished AI demos usually hide. Voice stalls. The sealed model map disappears. One reviewer defends its own process. And technical evidence does not always agree with human taste. The blind reveal matches Claude Fable 5 against GPT-5.6 Sol. The final verdict separates which edit won from whether Voice deserved a place in the workflow. The operating rule is simple: give AI one real job, set a clock, count rescues live and name the decision that stays human. Chapters 00:00 the 90-minute job starts 00:52 what changed in ChatGPT Voice 01:36 the hire-or-fire rules 02:45 three blind reviewers at work 03:46 the anonymous decision package 05:17 the sealed map goes missing 06:09 Fable 5 vs GPT-5.6 Sol 07:27 can ChatGPT grade itself? 08:27 the long and Shorts verdict 10:05 ChatGPT Voice gets its verdict 10:29 where humans keep the vote 12:03 four rules for testing AI at work Watch the YouTube version: https://youtu.be/Xm6kJ-5cn-g Build your own AI content system with Threadify: https://www.threadify.app/yt?utm_source=lenny-podcast&utm_medium=transistor&utm_campaign=chatgpt-voice-ai-video-team&utm_content=show-notes&video_slug=chatgpt-voice-ai-video-team&cta_slot=show_notes&entry_angle=voice-team&lp_variant=plans

  2. Jul 24

    i asked Codex to map my life. Obsidian broke.

    Lennox's Second Brain holds 74,200 notes. On this Mac, Obsidian opened 44,331 of them. Note 44,332 crashed the graph. This episode isn't a tour of a pretty knowledge system. It's the story of why Lennox built one after losing his mum, how perfectionism turned the graph into a new form of procrastination, and why nine crashes finally forced a simpler question: could the system help with a real decision? The answer shows up in PR #122. Codex checked Lennox's notes, Slack and GitHub, caught that a proposed change would undo Samsam's live work, and stopped before the damage was done. You'll hear the exact local test, the fix, the limits, and one practical check you can run this week. Ask your Second Brain a real question you need to decide. If it can't find the right notes and help you choose, stop feeding it. Make it useful first. 00:00 Note 44,332 crashed Obsidian 00:27 The digital graveyard test 00:39 Why Lennox recorded his life 01:57 94% building, 6% distributing 03:13 Nine crashes and the exact limit 05:03 Keep every note without one giant graph 05:28 How it stopped a bad code change 07:26 Test your Second Brain on a real choice Invite Lennox in: https://invite-lennox-in.lennox.chatgpt.site/ Obsidian: https://obsidian.md/

  3. Jul 21

    my AI studied 1,158 videos, then built this one

    An AI wrote, edited, and packaged this episode. Lennox recorded one take. Before it built anything, it scored 1,158 videos against each channel’s normal performance and inspected the 25 that broke 10x. This was not a dataset of 1,158 viral videos. Most were normal. That made the outliers useful. The system turned the patterns into the title, thumbnail, hook, and structure—then the episode reveals the mechanism. If you want the same proof-first approach applied to your Threads content, with your voice and final approval preserved, see the Threadify system behind the experiment: See Threadify plans through the measured funnel This is a real packaging experiment, not proof that one template guarantees views.

  4. Jul 21

    80 signups. 5 checkouts. 0 sales. my AI agent found why.

    80 people signed up for Threadify from Lennox’s YouTube videos. Five reached checkout. Zero paid. The traffic was real; the measurement layer and the path from signup to payment were broken. This is the full failure autopsy: the 98.8% attribution gap, the exact 80 → 5 → 0 funnel, the read-only AI diagnosis, and the 1,821-line repair. The agent inspected the evidence and prepared the fix. A human still reviewed the code and controlled release. If your content gets attention but you cannot prove what turns into signups, activation, or revenue, see the exact Threadify funnel rebuilt in this episode: See Threadify plans through the measured funnel The numbers and code are first-party receipts, not a promise that AI magically creates sales.

  5. Jul 14

    someone copied my Codex post — here’s what they missed

    this is the actual build for a second Codex app that can run the AI models you choose. get the repo, every command and the copy-paste setup prompt free inside Codex Club: https://www.skool.com/codexclub someone copied my post word for word, including the same screenshot, so Episode Zero shows the method they left out. in the video, i build the three parts that make it work: - an isolated second Codex app on Mac, or separate profiles on Windows and Linux - a local proxy that translates the Responses API for other model providers - a model catalog for OpenRouter and Ollama OpenRouter gives you more cloud-model choice, but you still pay and your data travels. Ollama gives you a local, private and per-token-free path, but your hardware decides how usable it is. no magic. no “trust me.” just the build.

  6. Jun 24

    stop chasing leads. they’re already in your comments.

    Most creators stop when the post goes live. That is exactly where the useful part starts. In this episode, Lennox walks through the Threadify Agent loop: pull every comment, spot the hand raises, draft permission-first replies, approve before anything gets sent, and track which post actually created clicks and conversations. The important shift is simple: stop asking which post looked good. Start asking which post created movement. Watch the YouTube version:https://youtu.be/6mGAErPHXRU Set up the Threadify loop:https://www.threadify.app/plans

  7. Jun 5

    i made my 4.1M Threads workflow free

    i made the Daily Greatest Hits workflow free. this episode is adapted from the YouTube walkthrough, so the video version has the full screen-share. the audio version gives you the core operator logic: stop asking AI to invent from scratch, feed it the posts your audience already rewarded, then turn that proof into daily candidates with explicit approval gates. watch the YouTube version: https://youtu.be/WEWqS9nZSnY get the free Daily Greatest Hits workflow inside Codex Club: https://www.skool.com/codexclub/free-daily-greatest-hits-workflow what this covers: - the 30-day proof stack - why Greatest Hits beats generic AI ideation - how Codex and Threadify turn proven Threads posts into daily candidates - where the safety gates sit before anything posts - how the public Threadify Workflows repo fits into the member/customer workflow

  8. May 25

    i used Codex for 350 hours. it runs my business now

    i spent 350+ hours inside OpenAI Codex and this is the real workflow. this episode is adapted from a Loom-style walkthrough, so the YouTube version has the full screen-share. the audio version still gives you the core mental model: Codex is not where you ask questions. Codex is where you give jobs. watch the YouTube version: https://youtu.be/hOK1EGR1azI join Codex Club: https://www.skool.com/codexclub?utm_source=youtube&utm_medium=description&utm_campaign=codex-workbench&utm_content=codex-club&video_slug=2026-05-25-how-codex-rebuilt-my-workflow try Threadify: https://threadify.app/plans?utm_source=youtube&utm_medium=description&utm_campaign=codex-workbench&utm_content=threadify&video_slug=2026-05-25-how-codex-rebuilt-my-workflow

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$32,700 in savings. 10 months of runway. non-technical founder building a real SaaS to $10K/month using only AI tools - or going broke trying. this playlist is my full journey from $1,940 MRR to $10K MRR, filmed in real time with real numbers. the wins. the f**k-ups and the dollars. no code experience. no safety net. just AI tools and a deadline. new videos every week. subscribe to see how it ends.

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