LeadSim is an AI simulation of the team you will actually run next: five software engineers and a fleet of coding agents. A conflict, a slipped deadline, a senior drifting toward the door, an agent that ships faster than your junior learns. Nothing follows a script; consequences compound from your decisions and land when they would in real life. What you keep is a report on the patterns you fell into, evidenced by what you actually did.
Consequences are not scripted — they compound. Every decision changes the state of your team, and that state decides what hits you next. One scene below, played for real.
The demo is Monday morning. The build has been red since lunch: the payments integration Julia owns keeps failing under load, and she has said "done by end of day" twice this week. Marek, your senior, could fix it — he starts two weeks of leave tomorrow and has stopped offering. You know the code well enough to fix it yourself tonight, in about two hours.
Agents are taking the well-specified, verifiable work — the exact tasks juniors used to learn on. What is left for you is deciding, verifying, and owning the outcome. That is a different job, and nobody is training anyone for it.
The September run plays this out. In week 7 of the simulation, an agent fleet joins your team — faster than your junior, cheaper than your senior, loyal to the spec instead of to you. The dilemmas above stop being hypothetical, and your report shows how you actually handled them.
Several pages, written from your record: the patterns you fell into and the specific decisions that evidence each one, quoted back to you. Below — an excerpt from a real report. It is the founder's own test run, which makes him the only person on earth who could publish it.
Every claim below is computed from your decisions and what followed. No personality reads.
Above: a fragment of a real report — verdict, the run's numbers, one of its three most expensive decisions. Decisions are quoted back verbatim: what the player actually wrote in the moment, not a summary of it. That is what "evidence" means here.
The report cannot flatter you. Every pattern it can name is one of 35 in a fixed library written before you ever played: Hero Reflex, Shadow Micromanagement, Ostrich Silence. The model selects from that list and quotes your own decisions as evidence — and when one playthrough did not see enough to be sure, it says so.
The report goes to you and stops there: no dashboards, no aggregates, no admin view. If the person who decides your promotion could read it, you would play the version of you that promotes well. Playthroughs run through the Anthropic API, which does not train on your data.
Twenty years inside software engineering organizations, watching the same scene: a strong individual contributor gets promoted, everyone crosses their fingers, and six months later the team is fragile — and nobody can point to what went wrong. LeadSim makes the cause visible before it costs you a person, a quarter, or both.
The pilot is a trade, stated plainly.
You get the full run, your private report, and my direct line while the product is
still being shaped. I get your honest feedback: at each of the run's three milestones
we meet and talk through what happened and how it read. Those three conversations are
the price of the place.
Access opens September 2026. Ten places, and they go by fit, not by queue: it is built
for people running a real team right now. Join the waitlist below. I read every entry
myself and reply personally the week of September 1 —
if the fit is there, we talk for fifteen minutes and the place is yours.