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Get AI agents that study and upgrade themselves
The Build Studio at CEOism builds agents that study their own performance and come back better, and you name the price. Most agents are frozen the day they launch; ours are built with a learning loop. The agent does its job, reviews what worked and what failed, updates its own instructions and playbook, and runs again sharper. We build agents this way in our own operation, and we shipped ConwayHQ, a live platform for autonomous agents with real compute, so the infrastructure for agents that persist and evolve is ground we have covered. Tell us the job and say your number, and we tell you honestly what it buys. Two people, 47 live apps, and the whole system becomes yours.
The 60-second version
We build agents that study their own mistakes and come back better.
We build it for you: we build agents that read, learn, and get better at their job over time.
Your price, our build. ceoism.com/studio.
What you receive
- An agent with a working self-review and improvement loop
- A visible playbook that shows how it currently works
- Version history so you can see it getting better
- Boundaries: what it may change about itself and what it may not
- Logs, handover docs, and full ownership
How it works
- 1
Tell us what you need
One email. Describe the thing in your own words, plain language is perfect, and say the number that feels fair to you.
- 2
We build, you watch it become real
We reply honestly with what your number gets, then we build. You see the live thing take shape, not a slide about it.
- 3
You name the price
The price you set is the price. When it ships, it is live on a real domain and it is yours: code, keys, everything.
The receipts
Built by the same engine.
These are live apps from our own catalog that prove this exact service. Click them, they work.
Honest questions
- Improving itself sounds risky. What stops it going off the rails?
- Hard boundaries. The agent can revise its methods and prompts inside a sandbox we define, but it cannot change its goals, its guardrails, or its access. Every self-update is logged and reversible, and you can pin any version you like.
- How does it actually know it did badly?
- We define success signals with you at the start: outcomes, your feedback, or measurable results like replies or accuracy. The review loop scores each run against those signals. Without real signals it cannot learn, so we design them first.
- Is this overkill for a simple task?
- Sometimes yes, and we will say so. A fixed agent is cheaper and fine for stable jobs. Self-improvement earns its cost when the environment shifts, like content, markets, or support, where a frozen playbook slowly rots.
Name your price on this.
Tell us what you need and the number that feels fair. We answer honestly with what that number gets.
Not looking to hire anyone? If you have the knack but never had the means, CEOism will hand you a company instead.