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Glean · Enterprise Intelligence — static build

The deployable build of glean-ei-fullstack, the full-stack prototype built for the Glean · Product Manager, Enterprise Intelligence interview.

This repository holds only the compiled output: index.html, a hashed JS/CSS bundle under assets/, and a 404.html so client-side routes survive a deep link on static hosting. The source lives in the other repo — read, run and change it there.

python3 -m http.server 4793 --directory .

Why a second repository

The full-stack version runs a Node + Express backend: toggling a signal recomputes the affected insights' composite confidence on the server, calibration feedback persists to disk, and the agent streams its work over Server-Sent Events. None of that survives on static hosting.

Rather than water the prototype down to something a static host could serve, the app was given a build mode that swaps the API client for a client-side mock and the router for a HashRouter. Every interaction behaves as it does against the real backend; only the persistence boundary moves. That way the demo anyone can open in a browser and the app that demonstrates real server-side recomputation are the same product, not two divergent ones.

The tradeoff worth naming: nothing here persists across a reload, and the confidence recomputation you see is running in the browser rather than being defended by a server. If that distinction is the interesting part — and for this prototype it is — run the full-stack repo instead.

What it is

A proactive intelligence surface on top of Glean's enterprise context layer. Instead of searching, a leader is pushed what changed, where value is being created or lost, and where to act — with provenance, calibrated confidence, a feedback loop, and human-in-the-loop agents. The same engine re-skins across departments (Engineering → Revenue) through the persona switch.

Styled to Glean's real design tokens: primary #343BED, fully-rounded pill buttons, large light-weight headings with tight letter-spacing, monospace eyebrows, Switzer + Space Mono.

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Deployed static build of the Enterprise Intelligence prototype — same surface, no backend. Source and the server-side calibration logic live in chloe4ai/glean-ei-fullstack.

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