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ZeroOne Systems
14k members • Free
8 contributions to ZeroOne Systems
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7d •
Agent Workshop (Live Demo) - Tomorrow!
Due to popular demand, I'm going to screen share my actual laptop and show you the system that runs my business. 367+ agents, one human. Then I'll take five of them and run real jobs through them while you watch. No slides. Nothing pre-recorded. Just the thing working, and me talking through it as many of you wanted. Here's the order, so you know exactly what you're turning up to: 1. You get the workbook (now) to fill out ahead of time. 2. I screen share my agents and you see how it all fits together. 3. I run the workbook live on someone's real answers 4. I showcase five agents, really doing some work. 5. I answer questions. THE WORKBOOK It's one prompt. You paste it into your own Claude and it works through your situation with you, one question at a time, until it names the agent you should build first and gives you the three steps to build it. It's free, there's no email to hand over, and you don't need to be on the call to get it: 01accelerator.com/matrix Grab it now if you want. Run it before Tuesday and you'll turn up already knowing what you want built. TURNING UP LIVE Two things that only happen live. I run the workbook on a real situation from the chat, and it could be yours. And I answer questions at the end. Add it to your calendar and Skool will remind you: https://www.skool.com/zero-one/calendar?calDate=1786022888&eid=63068f3459824f0bb84883101a10877e
1 like • 6d
ChatGPT Coding Takeover: https://chatgpt-coding-takeover.binarybaron.chatgpt.site The pain point is simple: **serious AI coding users can exhaust their coding-agent allowance in 24 to 48 hours after a refresh, losing precious time and money. Their build sitting marooned whilst in the middle of real development work.** This is particularly frustrating for solo founders and independent developers who already pay for a premium AI plan but do not want additional coding subscriptions or open-ended API costs just to keep working. When the allowance runs out, the repository is still there. The code, branch, tests, terminal state, unfinished changes, and development history remain intact. What stops is the **coding agent itself**. The ChatGPT Coding Takeover Agent solves this by turning **ChatGPT into a replacement coding agent for the interrupted workflow**. It does not hand the task to another paid coding model or invoke a metered model API behind the scenes. ChatGPT performs the reasoning, implementation, debugging, and review itself. A connected machine-control layer gives ChatGPT controlled access to the real development environment, including the terminal, filesystem, Git repository, processes, tests, and build tooling. The machine-control layer provides access. The takeover harness provides the coding-agent behaviour. The harness can recover the existing repository, branch, task, environment, and unfinished work; preserve staged, unstaged, and untracked changes; prevent concurrent writers; edit real files; run tests and local verification; review the work; and maintain enough continuation state for a fresh ChatGPT session to resume safely. It also checks whether the original coding agent is genuinely unavailable. If that agent has resumed, or another ChatGPT session is already modifying the same repository, the takeover agent refuses to compete for control. Local engineering work can continue autonomously, but external actions such as pushing code, deploying, creating pull requests, sending messages, purchasing credits, or invoking paid services remain permission-gated.
12d •
Your honest thoughts 👀
Who watched/attended live THE BIG EVENT by Lewis? I think this community could give some honest feedback. 💰What were the expectations? 🤖What were the thoughts during the event? 👉🏼Have you stayed till the end? What do you think overall about Louis' big event?😉 Let's be transparent. I think that feedback, good or bad, is always valuable for the creator themselves.
6 likes • 11d
@Landon Porter I agree wholeheartedly on this one. The difference between promotion of the event and what we would be getting vs what we actually got was tangible. If I were to wear a sceptics hat it could almost be considered mis-selling. I like Lewis, but I think this was a real opportunity missed. We came to see a system. We were shown the covers of books. Disappointed doesn’t really cover it tbh. I feel hoodwinked
12d •
Days 1–16: From Personal Context to an Agentic Operating System
I have just completed Days 1–16 of the Zero One Systems curriculum. My contribution has been applying the prompts provided each day to my own work, challenging the assumptions where they did not fit, and following the process far enough to see what emerged. For my use case, a personal agent is not simply a chatbot that remembers you. It is an operator-facing manager backed by explicit context, bounded authority, specialist systems, and evidence. That is the claim this post is trying to earn. I began with a personal dashboard and a simple question: what would an AI need to know about me to become genuinely useful? The curriculum works through personality, values, goals, risk tolerance, and decision-making. The most useful—and uncomfortable—exercise was a documentary-style interview covering my background, career change, failures, family, money, and what actually drives me. That became soul.md: a private canonical file describing how I think and operate. I then distilled it into soul.runtime.md, a smaller set of executable principles for practical agent use. Two of those principles have already changed the architecture: - Autonomy requires bounded authority, which exposed the weakness in my original agent design. - Correctness governs speed, which is why completion evidence now belongs in an append-only - Decision and Evidence Ledger rather than being reduced to a status flag. One lesson mattered more than the rest: More context is not automatically better. Stable identity, current project state, private history, operational knowledge, and evidence are different classes of information. They update at different rates and should only be exposed to agents that genuinely need them. The biggest change came when I reviewed which agent to build first. My initial choice was a Founder Intelligence Scout—monitoring AI tools, GitHub repositories, contracting opportunities, and founder tactics. After two separate research workflows, the problem became obvious. I already had specialised systems doing adjacent work:
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12d •
I Can't Believe It's Happening...
I've been working on a way to share my systems and agents responsible for supporting my business and allowing me to make more money with AI that I thought was reasonably possible. Tonight I'm going Live in my biggest Live event ever and I can't lie.... I'm pretty nervous. Its the biggest production I've put together so far in my career and astonishingly, rather than need a 12 person team for it, I managed to do it with me and a few human helpers. If you want to learn how I make money with AI and how you can copy and paste my systems, register for tonights one-of-a-kind event here - https://01accelerator.com/a2i
1 like • 12d
Awesome work Lewis!
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28d •
It Happened - My Biggest Live Event Ever!
The replay link is available here - https://event.webinarjam.com/n5l7zk/go/replay/3g0vq7ani9i4i5
1 like • 15d
pumped!!
1 like • 12d
tonights the night team. I'll be smashing the coffees at 1.00 am in Bangkok to ensure i'm present and alert!
1-8 of 8
@omar-al-bakri-1516
AI enthusiast, lifetime in sales snd for my sins a former banker. Looking to launch an AI first FinTech. Automations are cool
Active 4h ago
Joined Jul 20, 2026
Northampton
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