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. 1d ago

    why Dario wants to pace AI — and what Sam agreed to

    Dario Amodei has proposed pacing frontier AI development. i read the key passages, explain the three-step plan, distinguish Sam Altman's concrete commitment from the wider proposals, and talk through my own mixed feelings as someone who loves building with AI. this is an unnumbered LAB pilot. for audio listeners: the three “here” call-outs refer to separate passages discussing what extra time could help researchers achieve. they are not an announced model-release freeze. read the essay: https://darioamodei.com/post/we-must-pace-the-frontier watch the video: https://youtu.be/TFS7Ef6_7oo Lo-Fi Beat | Coffee by Alex-Productions | https://onsound.eu/ Royalty Free Music by https://www.free-stock-music.com Creative Commons / Attribution 3.0 Unported License (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/deed.en_US

  2. 4d ago

    What happened when I let Astra edit my video

    I tried using Astra to edit in DaVinci Resolve. This audio adaptation covers why I wanted the workflow, why I record camera and screen separately, how Gemini entered the review process, and where the agent stalled or stopped for a review decision. The video tutorial contains the setup screens and examples. This version keeps the spoken experiment and tradeoffs, removing passages that need visible price and usage corrections. Explicit language. The overnight story describes one experiment; it is not a promise of unattended completion. Watch the full tutorial: https://youtu.be/D28EiNzw52c

  3. 5d ago

    i gave GPT-6 Astra and Fable 5.1 the same video to edit

    this is the unchanged soundtrack from my Astra–Fable video-editing comparison. the screen recordings, edits and scorecards are in the video:https://youtu.be/fYuok6zOlPo i gave GPT-6 Astra and Fable 5.1 the same video and two rounds of prompts. each made three Shorts and three long edits. then i added my own long edit and scored all 13. i want to hand an AI a recording, go away, and come back to a finished video. so i checked how much nudging each model needed, then watched what it actually made. watch the edits before the reveal and tell me which one you'd keep. include the cut number so i can find it. these are my personal scores from this experiment. the AI labels were hidden during scoring, but i recognised my own edit. the human entry only competes in the long-form results. this doesn't prove AGI or that an AI can replace every editor. the scorecards use the saved ratings. where a spoken number differs, the on-screen correction shows it. the original contestant clips keep their own pacing, sound and mistakes. 00:00 one recording, 13 edits00:30 the prompts and first attempts01:21 round two: asking both models to improve02:48 blind edit reviews04:52 the long-form edits08:19 the last three edits09:57 scores and the final verdict10:58 what should i test next? music:Slowly by Tokyo Music Walker | https://soundcloud.com/user-356546060Royalty Free Music by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US Music excerpted and mixed beneath narration.

  4. Sep 8

    OpenAI's new internal model is getting ridiculous

    OpenAI says its next-generation internal model helped solve the Navier-Stokes Millennium Prize Problem. Around 10,000 coordinating agents. 88 hours. I wanted to understand what that means without needing a maths degree. I walk through the announcement, the vortex, and a plain-English explanation from GPT-6 Astra. Then I give my take on what this could mean for AI and scientific discovery. Watch the video: https://youtu.be/LlAoO5AErJU CHAPTERS 0:00 OpenAI’s new maths claim 0:29 The internal model beyond GPT-6 Astra 1:09 10,000 agents and 88 hours 2:00 How the agents worked together 2:41 Tokens and the hypothetical cost 3:36 Why OpenAI won’t claim the prize 4:39 Navier-Stokes in plain English 6:06 Five details worth knowing 6:53 My take on AI and discovery SOURCE OpenAI’s announcement, with links to the paper and Lean proof: https://openai.com/index/navier-stokes-solution/ CLARIFICATIONS The $15M and $6.5M figures in this video are hypothetical output-token price comparisons, not OpenAI’s reported spending. $15M refers to all attempted problems; $6.5M refers to Navier-Stokes alone under the pricing assumption discussed. My later references to “spent $15M” overstate what is known. The concurrent Alpöge/Buckmaster result concerned forced Euler, a different result. My imagined rivalry dialogue is speculation, not a reported exchange. “AGI” is my interpretation, not an established conclusion from this result. The thumbnail vortex is an illustration.

  5. Sep 6

    ChatGPT-6 Astra computer use is getting ridiculous

    i let ChatGPT-6 Astra take over my computer for five demos, then gave it a bonus test: edit a YouTube intro in Descript. This is the audio from the hands-on video. Music, Google Earth, Keynote, Photopea and Blender all get a turn. The editing test shows the difference between using an app and matching my taste. 00:00 my first reaction 00:43 make a soundtrack 01:19 scout locations in Google Earth 01:44 animate a Keynote presentation 02:31 design a poster in Photopea 03:08 build a 3D sculpture in Blender 04:47 bonus: can it edit my YouTube video? 08:13 my verdict Watch the screen recordings: https://youtu.be/wFBO36lOVpw

  6. Aug 30

    how i turned ChatGPT into my CFO [saves me $11K/year]

    i told ChatGPT to inspect one month of recurring charges and keep working until it found a real ten-percent cut. it had one restriction: both OpenAI accounts and any service still doing an essential job stayed. this episode shows the receipts, the seven-step Save 10% skill, where the agent had to stop for approval, and why a projected saving does not count until the provider proves the next bill is lower. chapters: 00:00 the result00:17 the receipt00:51 where the waste was hiding01:33 the Save 10% skill01:59 what actually got cut03:00 the safety rules04:50 how to run the same audit06:09 install and use the skill07:38 the next steprun the two-minute fit check: https://lennoxsaint.com/fit

  7. Aug 16

    Full Circle is closing

    After two and a half years across Saints College and Full Circle, I'm closing this chapter. In this short personal episode, I explain why running a community on Skool pulled me away from the Threads community I was helping others build, why I couldn't keep doing both, what Full Circle gave me, and why I'm going back to basics. This isn't the end of the book. It's the end of the Full Circle chapter. See you on Threads: https://www.threads.com/@lennox_saint More from me: https://lennoxsaint.com

  8. Aug 15

    i fed ChatGPT 12,251 screenshots. here's what it found.

    ChatGPT observed every minute of one workweek, producing 12,421 images. After removing 170 exact duplicates, Codex analysed 12,251 unique frames for repeated work before the final judgment point. The audit returned seven findings and two honest totals: Codex found 5.02 hours; Lennox accepted 4.21. That gap is the useful part. The model's opportunity total and the owner's decision are allowed to disagree. Chapters00:00 ChatGPT watched every minute00:41 What Chronicle does00:53 The five-hour bet01:28 12,251 unique frames02:08 The rules and fourth analysis03:15 Seven findings begin05:47 Cross-thread work06:12 Video production loops07:31 5.02 found vs 4.21 accepted07:46 What changes now08:57 The final verdict Find five hours inside your business:lennoxsaint.com/fit

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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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