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IntentLang

Playground

Write intent. Run it. Read the proof.

This is what beyond prompt engineering looks like: intent you can execute. Run a decision against real inputs and simulate a lifecycle against real events, deterministically and with no AI, then compile the whole mission into diagnostics, docs, a graph, a test plan, and a proof.

Run it

Executable intent

A decision is a program: give it inputs and it decides, first matching rule wins, with a full trace. A lifecycle is a state machine: give it events and it walks them, rejecting anything illegal. No code is generated. The intent itself runs.

No AI, no generated codeDeterministic. Same intent + inputs, same result, every time.

Change an input, try age 16, or add a bad event like submit after approval, then run again. The trace on the right is the full audit of how the intent decided.

Results
Results appear here.

Compile it

From intent to proof

Load a mission and run the deterministic compiler. You get diagnostics, generated docs, a contract graph, a test plan, and a .intent-proof.json, the same artifacts the CLI emits.

Examples
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Compiled without AI
Try breaking it:

Inline autocomplete and hover are powered by the compiler. Press Ctrl+Space for suggestions; hover a semantic type or note lens for help.

Click Run Compiler to compile this intent.

Deterministic. No AI. You get diagnostics, docs, a graph, a test plan, and a proof artifact.