Twennyfour is not a model driving your mouse. It is an execution engine that learns your application once, then repeats a verified path — identically, locally, at the speed of your machine.
AI is used here to interpret your prompt and structure the blueprint. The compiled execution map is then stored securely on your machine — ensuring your data never leaves the premises while execution remains strictly local.
From then on the run is mechanical. The engine follows the recorded path, moves the pointer, types, and clicks — with no screenshot sent anywhere and no model deciding what to do next. That is what makes run #1,000 identical to run #1, and what makes the cost of a run independent of how many steps it has.
Typing a value is not proof the value landed. After each action the engine compares the screen against what the map says should be there: the field contains what it typed, the record was saved, the dialog closed. If the screen disagrees, the run stops on that step and names it. Nothing is assumed.
A workflow has exactly one approved sequence. There is no branch chosen at runtime by a model that reasoned differently today than yesterday.
Execution never calls a model. Latency stays in milliseconds, cost stays flat, and no screen is transmitted anywhere during a run.
Each step declares what the screen must look like afterwards. Anything else is a stop, not an improvisation.
The same input produces the same run, and every run keeps the screens it acted on, so a review is a replay rather than an argument.
You do not ask it to "figure out the invoices". You approve one workflow, and it runs that workflow.
Where a solid API exists, use it — it will always be faster. We exist for the software that has none.
The engine handles the typing, not the accounting decision. Anything ambiguous is escalated to you rather than resolved by a guess.
Short answer: a Windows machine that already runs the software, and permission to use it. Nothing else changes.
Walk us through the daily task your team dreads most. We build a deterministic pilot on a test environment with zero risk to your data. If it fits, we deploy it with you as a design partner.
