mglynnhenley/mikehasprobes

mglynnhenley is bolting a hallucination meter onto Mike, scoring every AI answer and showing users where to squint.

Early days - six commits along a tight, coherent thread, all landing in a single push window, with no activity since.

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This fork takes Mike in a single, focused direction: trust calibration for AI output. mglynnhenley has wired in an external hallucination-probe service that shadow-scores assistant replies as they're generated, then surfaces that doubt visually so readers can see which parts of an answer to lean on and which to double-check.

The scoring isn't confined to chat. It runs across tabular review too, so the same confidence signal follows the user from conversational Q&A into structured document work. The presentation is deliberately quiet - a fading heat strip under the text rather than a numeric score - which reads as a product judgment that risk cues should nudge, not interrupt.

For legal-tech readers, this is the interesting question: does a continuous, glanceable hallucination signal change how practitioners actually trust an AI assistant? mglynnhenley is the one running the experiment.

What's in it

Direction

chat-uicompliance

Activity

Themed changes and pull requests touching this fork, newest first. Themed changes that haven't been turned into a public post yet still appear — they're real work even without a published writeup.

Threads of work (detailed view)

2 threads have been distilled into posts.

Pull requests (detailed view)

1 PR touch this fork — inbound (filed against it) or outbound (filed from it). State icons match the editorial dashboard.

✅ Merged (1)