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Let the full agent solve the workflow. Learn how the work gets done across representative inputs.
OPEN-ENDED EXPLORATIONYour agent solved it. The next run shouldn’t start from zero.
Turn recurring agent work into a Compiled Workflow Model.
Agents are good at figuring out unfamiliar work. But familiar workflows still pay for planning, tool selection, and repeated model calls.
InferenceIndex learns from initial agent executions and compiles the repeatable structure into a Compiled Workflow Model: a reusable way to carry out the same kind of work on new inputs.
The goal: less inference overhead and faster repeats, with checks and a path back to the full agent.
Let the full agent solve the workflow. Learn how the work gets done across representative inputs.
OPEN-ENDED EXPLORATIONCapture the repeatable work in a Compiled Workflow Model, ready for the next run.
LEARNED WORKRun against new inputs. Check the result. Fall back to the full agent when the workflow needs it.
CHECKED EXECUTIONThe workflow has already been learned. This is a repeat run with fresh input.
Update Alex Morgan’s phone number to (202) 555-0146.
A better call still leaves the next call. InferenceIndex targets the recurring work itself, so familiar steps don’t need fresh reasoning on every run.
Initial executions become reusable work. A fresh input can reach its outcome without rediscovering the familiar steps.
Be first to hear when InferenceIndex is ready for your workflows.
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