I’m looking for an AI-native co-founder to help scale Model Operator from a developed thesis into a venture studio with real distribution and product discipline.
We’re currently very good at: spotting useful AI capabilities early, applying them to slow or expensive workflows, and designing the context, review paths and controls that let more work move faster without mistakes multiplying.
I’m adding a co-founder so we can pursue more and bigger bets. I’m looking for someone who considers themselves technical, with a bias towards growth: turning hypotheses into live experiments, building lead magnets, opening partnerships and creating repeatable distribution. You will not need to own the codebase, but you should be able to challenge platform architecture, spot workflows that will constrain scale, query data and deploy digital assets without hand-holding.
We’ll both keep building, developing relationships and closing deals. The gap is someone who can drive demand without forcing product quality to compete for the same founder hours. That gives us room to test more bets and pursue larger addressable markets while keeping the shared platform coherent.
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What we're building
Model Operator is a venture studio for adjacent AI workflow businesses built on one shared operating layer. We are starting with company context and memory management, alongside voice agents.
Version 1 is ready, initial sales calls are being booked, and the business is set-up in the UAE and ready to operate. The immediate job is to target the right deals, allocate founder time responsibly and refine a growth plan that tells us which markets deserve deeper investment.
The studio depends on finding ideas that are both correct and overlooked, then testing whether they create meaningful operating leverage. That gives us a precise view of where the value sits, who will pay for it and which capabilities belong in the shared platform. Each experiment should strengthen that platform, making the next product faster to launch and easier to scale.
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Who we're looking for
Early-scale startup experience matters more than corporate experience. You have worked where the product was live, demand was emerging and missing systems had to be built with lean resources. Your decisions affected growth, delivery quality or survival.
You have shipped AI products or workflows used by real people. Codex or Claude Code are part of your normal working environment. You probably have an Open Claw or Hermes Agent too and understand tools, memory, evaluations, and failure modes more than the people who just read about these things.
You can create demand as well as software. Strong evidence might include testing offers quickly, opening partnerships, building founder-led sales, finding underpriced distribution, running profitable lead magnets, etc.
Your network has practical value. Founders, buyers, operators, and partners respond when you contact them because trust already exists. You should also be willing to invest alongside me, although Model Operator does not need your capital immediately.
You know what deserves your own hands. You can enter the codebase, inspect a funnel, speak to customers or fix an operational problem. You can also hire specialists, write precise briefs and review outsourced work without losing ownership over the critical thinking.
Workslop irritates you. You can identify weak assumptions, generic reasoning, and fabricated details… You remain the human-in-the-loop because you know enough to steer, challenge and refine the system; you rarely just accept AI outputs, and you definitely don’t copy-paste it into chats for colleagues to digest before you have.
Intentionality is important. I won’t build with you if you moan about the pursuit: difficult problems, uncertain markets, ambitious experiments and the pressure of making something work. This is not employment approached as a queue of tasks to clear before switching off.
We should direct our lives rather than let circumstances decide what happens. Useful work creates impact; impact builds trust; trust opens opportunities that were unavailable before. When one route closes, you find another worthwhile action rather than deciding there is nothing left to do.
You tell the truth early. You do not hide doubts, manufacture agreement or soften your actual view because you’re scared or tactical. You are secure enough to disagree, admit uncertainty and change your mind when the evidence changes.
You take endurance seriously. You believe in the role of sport/fitness in maintaining the sustainable energy necessary for proper founder performance. You understand burnout prevention starts before exhaustion.
What we’d own together
Test context management, voice agent and adjacent workflow opportunities Develop repeatable routes to market through offers, sales and partnerships Turn recurring client problems into reusable infrastructure Decide which experiments deserve more capital and which should stop Recruit specialists where necessary Operate at AI-native speed while protecting reliability and trust
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Structure
This is a co-founder role with equity and vesting.
You must be able to contribute at least 20 focused hours each week from the outset, with a credible path towards deeper involvement.
Final responsibilities and equity will reflect commitment, demonstrated contribution, existing assets and shared risk.
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Apply:
Send me:
Your early-scale startup experience and proof-of-value. An AI product or workflow you personally shipped. How you use Codex/Claude Code/Open Claw/Hermes Agent. Evidence that you can create distribution or commercial momentum. Your location, availability and eventual investment appetite.
Feel free to contact [اضغط هنا لمشاهدة البريد اﻹلكتروني]
Links to products, repos, experiments and commercial results matter more than a polished CV. To be clear though, I do value a quality education.
Use AI if it improves the application. Own every sentence you send. I’ll respond to whoever’s not wasting my time.

Industry Artificial Intelligence
Employment Type Part-time