LEF Ed. Feature Board
Each feature in the left rail is a discrete capability of the LEF Engine. What LEF Ed can tell you depends on which data it has — each dataset unlocks different features. The catalog grows on its own: LEF Ai Engine continuously scans its own builds for new patterns, combinations, and outputs, and ships them here as they mature. The board you see today is smaller than the board you’ll see next quarter. Start by giving it something to read: synthetic data for a guided tour, or upload your own to run the engine on your files.
LEF Ed is iterating daily as we expand the Feature Board catalog and refine each feature’s narrative surface. Currently in flight: demos pacing + engine-narration captions, living-library framing across catalog entries, upload-your-own data-requirements landing, anonymization at the motherboard boundary, and Living Library residual-capture wiring. The engine and its patented mechanisms are stable; what is changing is how they are surfaced for principals, district leadership, and licensees. If something reads off or a feature renders oddly, that is the revision working — not a deployed defect. Questions: hello@livingedenframeworks.com.
How to use
- Start with synthetic data below to walk through each feature with a guided dataset. If you’d rather run the engine on your own data, see Upload your own data → for schema requirements and the upload flow.
- Features that can run on the data you’ve provided activate in the left rail. Features needing data you don’t have stay greyed — the tab tells you what would unlock it.
- Open any active feature to see it process the data, render an output, and narrate why the pattern matters.
- Select features to chain. Open See How They Can Work Together to see the combined signal — one way the engine compounds.