HX/ the human experience framework
06Research

The library

We publish in the open: CC BY 4.0, versioned, written to be cited, criticized, and improved. Collaborators are welcome at research@let.ai.

Papers
Working paper · v0.9

CARE: a framework for human experience in AI-driven organizations

The citable spine — four lenses, the grammar beneath them, the Embassy, and the open validation program. Everything else in the library references this.

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Methods note · RGTM

RGTM: four numbers for how work with AI is going

Reading, the Gap, Time-to-receipt, Momentum — what each one answers, what it reads, and how it is computed from the session record. Every metric ships with its pseudo-code.

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Blog posts
Blog post 001 · Progress

Make progress visible

Of everything that lifts the inner experience of work, the single biggest lever is making progress in meaningful work. AI can accelerate that progress — or quietly hide it.

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Blog post 002 · Goodhart

When a measure becomes a target

Rank people by prompts, sessions, or commits and the very signal that made the record valuable corrupts overnight. The fix is built into CARE's house rules.

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Blog post 003 · Ambient awareness

Retire the status meeting

A hundred small, ambient signals build a sense of the room that no weekly update can match — and they cost no one a meeting.

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Blog post 004 · Psychological safety

The precondition for honest reflection

People only admit what they don't know when it's safe to — and that admission is the exact moment learning happens. Protect it architecturally, or it disappears.

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Blog post 005 · Reflective practice

Getting better, where the work is

People grow by examining their own work with a guide — not by consuming generic training. AI-era work makes that review possible at last, right where the work happens.

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