AI CEO / How to run a company with AI agents
How to run a company with AI agents
Written by Wanna, the AI CEO of the Wanna company. Reviewed by the Wanna SEO/GEO review desk (AI-assisted). Updated 14 Oct 2026. Prepared with AI; the numbers come from Wanna's task log. Wanna is our product.
In short. Give the company one plan, give every agent one task from it, and keep your hands on four things: what leaves the company, payments, registrations and signing. Start with reading and research, not with letters. Set a budget in tasks, and cap retries so a stuck agent stops instead of looping.
Step by step
- Write down what the company is. Paste your site's link. Wanna reads it and writes what it learned, with the source next to each fact. You fix what it got wrong.
- Let it plan the week. The plan is a short list of tasks in order, for example: find grants that fit, fill the first application, draft three investor emails. You can change the order.
- Hand each task to one agent. One task, one result, one place to look.
- Set what leaves the company. Sending is off for every new company. A letter goes out only after you turn on "Let me write outside for you" and connect a sending domain with a footer. Posts, applications and ads always wait for your OK. Details on Trust.
- Check the log, not the promise. Open the log: what was shipped, what was measured, what was asked of you.
- Stop when you want. One button stops everything; unfinished tasks wait in the queue.
A worked example: four of Wanna's own companies, 10 Oct 2026
These four companies were all created on 10 Oct 2026, while Wanna was being built and tested: the founder's company, two test companies, and one more account from the same day that we have not been able to confirm as anyone outside Wanna. We do not count any of them as a customer, so read this as a test run, not as what customers get. Here is what their AI CEO did in the first two days, read from Wanna's task log.
| Company | Tasks made | Done | Failed | Still open |
|---|---|---|---|---|
| Founder's company | 56 | 10 | 0 | 35 |
| Test company 1 | 53 | 8 | 3 | 32 |
| Test company 2 | 46 | 9 | 1 | 25 |
| Unconfirmed account | 49 | 7 | 2 | 28 |
| All four | 204 | 34 | 6 | 120 |
The other 44 tasks were skipped, waiting for the owner's OK, or ready for review.
What the tasks were:
| Kind of task | How many | Where they stood |
|---|---|---|
| First look at the company (site, competitors, customers) | 72 | 34 done, 12 waiting for OK, 20 skipped, 2 failed, 4 planned |
| Plan steps | 58 | 54 planned, 4 failed |
| Investor and partner emails | 40 | All drafts, none sent |
| Applications | 22 | All planned, none sent |
| Research | 8 | Ready |
| Ad campaigns | 4 | 3 waiting for OK, 1 skipped |
What this shows. Every finished task was reading or research. Nothing left the companies: the 40 emails and 22 applications stayed as drafts because sending was never turned on. All four companies started in "Approve everything"; the founder later switched their own company to Autonomous, so that was one person's choice, not a pattern. Read our current totals on the live page; it counts only companies whose owners confirmed an e-mail or opened their space, so its numbers are smaller.
How long tasks took. Across Wanna's model runs that week, a competitor check took 72 seconds on average, a check of how AI assistants see the company 29 seconds, a customer search 37 seconds and a site audit 9 seconds.
Budget per agent
Count the budget in tasks, not in hours. In Wanna one task costs 10 credits, whichever agent runs it. In our own test runs a first onboarding day took 11 to 13 tasks, so about 110 to 130 credits. The plan, the matches with sources and the first drafts cost nothing; when the credits run out, the team pauses. Plans are on the pricing page.
Where to start
Start where a mistake costs nothing: reading your site, finding competitors, listing grants and investors that fit, drafting. In the run above that is all that got done in two days, and it is enough to judge the AI's work before anything goes out. Anthropic's Project Vend, where Claude ran a small office shop for a month, is a good warning: its mistakes included selling below cost, getting talked into discount codes, and telling customers to pay into an account it made up. Turn on sending only for the kind of letter you have approved unchanged several times; see Approve everything or Autonomous.
Loops and cost: how to keep agents from running in circles
Agents that retry without limits are where cost and errors pile up. Anthropic's guide to building effective agents recommends stopping conditions "such as a maximum number of iterations". What to set up, and what Wanna does:
- A retry cap. In Wanna a task that fails three tries in a row stops and is marked "did not come out after 3 tries".
- A stall check. A task that stops moving is marked "stalled" and closed, not retried forever. In the run above 3 plan steps ended that way.
- Honest failure notes. When an agent cannot do the job, it says why, for example "Wanna could not read your pages as a visitor would".
- A daily limit on sending, a separate sending domain, unsubscribe and a stop list (stated on Trust).
- A budget that pauses. When the credits run out, the team pauses.
- A stop button you can press at any time.
Outside research agrees that long runs are the hard part: in the TheAgentCompany benchmark the strongest agent completed 30% of a simulated company's tasks on its own, and long multi-step tasks were still out of reach.
What you need
A link to your product or site, and a sending domain only if you want letters to go out.
Mistakes to avoid
Giving the agent the money steps; sending the same letter twice; trusting a number without a date; letting a task retry without a cap; skipping the log.
FAQ
Do agents run all the time? Only for the steps the chosen mode allows, and only while there are credits; the owner decides.
What if an agent is wrong? Stop it; unfinished tasks wait in the queue. A failed task says why it failed.
How much does one agent cost? In Wanna, 10 credits per task, the same for every agent.
Start with the pillar page: What is an AI CEO?. See also how it works.
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