The number that tells you how big a company you are actually running.
How to measure your AI team's true leverage — counting not just the tasks, but the meetings and management a real company would pay for.
Leverage is the simplest honest measure of an AI team: how many hours of work it delivered for every hour you put in. If you spent 10 hours steering your team this week and they finished work that would take a person 1,000 hours, your leverage is 100x. Tycoon puts this number at the top of your Work board, next to the size of the team you would need to match it.
But there is a quiet question hiding inside that number: when you add up "what the team delivered," what exactly are you counting? Get that wrong and you will undercount your AI team by a wide margin. Here is how to measure it honestly.
The obvious way to measure delivered work is to add up the tasks: a landing page is roughly six hours of a designer's time, a competitor analysis is roughly four hours of a researcher's, and so on. Sum them and you have your number.
The problem is that this is not what a real company costs. In a real company, the tasks are the small part. The expensive part is everything around them.
Hire 25 people to produce the same output and watch where the hours actually go.
First, the people doing the work do not spend their week doing the work. They spend a large slice of it coordinating — standups, syncs, planning meetings, status updates, message threads, getting on the same page, waiting on each other, redoing handoffs. Study after study of knowledge work finds that employees spend roughly half the week on this "work about work" rather than the work itself. (Asana's Anatomy of Work Index is the canonical reference: asana.com/resources/anatomy-of-work.)
Second, those people need managers. A 25-person team does not run itself; it needs leads and a layer of management to hold the plan together. That management layer is real salary producing zero direct output — it exists purely to coordinate.
An AI team skips almost all of it. Agents do not sit in alignment meetings. They do not wait on each other for a week. They do not need a director to keep them on track. The coordination tax and the management layer — the two most expensive parts of a human company — collapse toward zero.
So if you only count the tasks, you are crediting your AI team for the cheapest slice of the work and ignoring the part that actually makes companies slow and expensive.
The fix is to measure the fully-loaded cost: what a real company would burn to ship the same output, not just the raw task hours. Three layers:
Add the three and you have the real number: the total human hours a company would need to ship what your AI team shipped. Divide by the hours you personally spent, and you have your true leverage.
None of these are arbitrary add-ons. They are derived from the size of the company the work implies. A bigger output implies a bigger team, which implies more coordination and more management — exactly the costs a real founder pays and an AI team avoids.
Go back to the example. A thousand hours of finished work looks like 25 people. But a real 25-person company also pays for the meetings those people sit in and the managers who run them. Counted honestly, the company you are replacing is not 25 people — it is meaningfully larger, and your real leverage is higher than the naive 100x.
This is not a vanity adjustment. It changes how you think about your own time. The question stops being "how many tasks did I get done" and becomes "how big a company am I running on a few hours a week." That is the number that belongs at the top of your board, because it tells you whether you are actually operating with leverage or just staying busy.
Measuring AI leverage by task hours alone undercounts your team, because it ignores the coordination and management that make real companies expensive. Count the fully-loaded cost — execution plus the meetings and the management a real organization would carry — and you see the true size of the company you are running. Tycoon shows you that number, updated daily, at the top of your Work board.
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AI team leverage is how many hours of human-equivalent work your AI team delivers for every hour you personally invest. If you spend 10 hours steering the team and they ship work that would take a person 1,000 hours, your leverage is 100x. It is the clearest single measure of whether you are operating with real output or just staying busy.
Take the fully-loaded human hours a real company would need to ship the same output — task execution, plus the coordination and meetings a team spends producing it, plus the management layer that team requires — and divide by the hours you spent directing the work. Counting only the tasks undercounts the team, because coordination and management are the expensive parts an AI team skips.
Because that is where a real company's time and money actually go. The tasks are the cheap part. Real teams spend roughly half the week coordinating and need managers to run them. An AI team avoids almost all of that, so leaving it out of the count credits your team for the easy slice and hides the leverage that matters most.
No, because the additions are derived from the size of the company the work implies, not picked arbitrarily. A bigger output implies a bigger team, which implies more coordination and more management — real costs a human founder would pay. The honest number reflects the actual company you are replacing, which is larger than a raw task count suggests.
On Tycoon, the leverage number sits at the top of your Work board, updated daily, next to the equivalent team size and your rank against other founders. Tap it to open the leaderboard and see how your output compares.