Attention
One line about what matters now: the tickets past due, the request waiting for a decision, the run that finished. Drawn from the rows, not from a dashboard someone laid out.
How it runs
Two things are different about an Agentic Interpreted Application, and both take a minute to get used to. Nobody designed its screens. And the thing deciding what happens when you press a button is a language model, held to your model by an engine that never lets it write.
Static software is built once, for everyone. A fluid interface is composed each turn, for what is in front of you.
Static interfaces
Someone chose the columns, the form, the order of the buttons, months before you needed them, for a user who is not you, with a data set that is not yours. That decision was compiled into code, and code does not change when the situation does.
Fluid interfaces
Each time you open the App or act in it, Amy composes one turn: what deserves attention, what to focus on, where you can go, and whether there is something to ask. It streams in as it is decided, so the interface arrives the way a thought does.
One line about what matters now: the tickets past due, the request waiting for a decision, the run that finished. Drawn from the rows, not from a dashboard someone laid out.
The thing to look at: a set of rows, one record, a board, a timeline, figures, or a judgment the model is asked to make. The shape follows the data and the question.
Where you can go from here, and what Amy needs from you before an operation can run. A move is an operation or a view the model defines. Nothing is invented.
Fluid does not mean unpredictable. Under every turn, the same things are always there.
An AI runs it
Not that the AI writes to your data. It never does. When you run an operation, the model reads the approved contract and the rows in front of it, and returns a plan: which rows to create, change, or remove, with which values, and a result. The engine, deterministic and yours, checks that plan against the model and commits it in one go, or refuses it and says why.
The AI never writes. The engine does.
What it does not mean
Not a chatbot
Tables, records, boards, forms, buttons. The ask bar is there when a sentence is faster than a click. The interface is the point; the model is behind it.
Not autopilot
The model is a plan you read and accepted, change by change. The AI runs that plan. It cannot add an operation, a record, or a rule on its own.
Not made-up data
Every value the model proposes passes the record’s schema, the contract’s checks, and the reference gates before it is stored. What does not fit is refused with the reason.
Not a black box
The model log shows each prompt, each reply, the time it took, the tokens, and the estimated cost. Every row carries which of its fields a model chose and under which operation.
The trade
Open the App