AI for developers who report to investors
You lose money in two places: investor reports that take weeks to assemble by hand, and the final cost of a multi-year build that is mostly a guess.
Developers lose money in two places: investor reports that take weeks to assemble by hand, and the final cost of a multi-year build that is mostly a guess. I build systems, built on Claude, that regenerate investor reports with every number provable, or predict a build's final cost from your own history, and I prove the engine by reproducing a project you already finished.
Where the money leaks
You lose money in two places, and which one depends on where you build. If you raise capital and report to investors, the quarterly report is hand-built from your property system's exports, takes about a day, and reaches the investor roughly forty-five days after the quarter closes. It is uncomfortable to send last quarter's numbers while the current quarter is already closing. If you run multi-year builds, the problem sits at the other end: at the start of a three-year project you cannot say what it will cost at the finish, so you estimate, on memory and a spreadsheet you do not fully trust.
Your history is the asset, and it is trapped
Either way, the answer already lives in your own records. Twelve years of finished projects know what the next one will cost. Two years of signed investor reports know what a correct report looks like. But that knowledge sits in scattered spreadsheets and in one person's head, not in anything you can query, so every new estimate and every new report starts close to scratch.
Why the usual fixes do not hold
More Excel gives you no predictability and breaks the day the person who carries it in their head is out. Manual-entry development software costs a fortune and nobody keeps it current. Generic AI gives you confident wrong numbers with no context. The enterprise platforms priced for institutions still leave the reporting layer manual. Margins used to be fat enough to hide all of this, and they are not anymore.
What I build
I build it on Claude Teams, running on your own data, where every number that touches money is produced by deterministic code and signed off by a person, not guessed by the model. For investor reporting, I regenerate the report you already trust, in your format and your firm's voice, with each figure provable down to a property's square footage. For cost prediction, I build a structured record of your past projects as a single source of truth, with Claude on top to budget a new build, predict its final cost, and flag deviations as they appear.
I prove it on a project you already finished
You should not have to take accuracy on faith. So before anything goes live, I run the engine against a job you have already closed: predict the final cost of a finished build from its mid-project data, or reproduce a signed investor report and check it against numbers you already stand behind. That backtest is the close. It turns "the past does not guarantee the future" into the exact mechanism that proves the system.
Proof
A fourth-generation developer with over $230 million in acquisitions runs an investor-reporting engine that reproduces their signed numbers and catches their own spreadsheet errors. A boutique Buenos Aires developer uses a structured record of past projects to predict the final cost of a new build, instead of estimating from memory. Both keep their data in their own systems. Read the automated investor reporting case study.
What you own
Everything I build is yours: the data record, the engine, the Skills, the account. We start with one project, prove it on your own history, and grow from there. Then every month the system does more than the month before.
Where this fits
Frequently Asked Questions
Yes. I regenerate the report you already trust, in your format and voice, from your property platform's exports, with every number produced by code and a person signing off before it reaches an investor.
With a backtest. I run the engine against reports or projects you have already closed and check it against numbers you already stand behind, before anything goes live.
Not by guessing. I turn your own history of finished projects into a structured record, then use it to budget and predict, with the math done by code and reviewed by you.
Custom, and you own it. It sits on top of the platforms you already use, rather than replacing them.
Book a 15-minute call
Tell me which job you would like reproduced as the backtest. I will tell you what the engine would do with it.