Jev case: One of the popular requests since launching

The clip posted with this case (hosted by the collector’s media CDN); original post on X · 199s.

Explored integrating Jev into Thally's docs-repository workflow to decide which surfaces need syncing as products evolve.

The original post

One of the popular requests since launching @thallyio is a demo of how it works. So here it is!

Thally can create a new docs repository on your GitHub account, connected to the products it documents, and other secondary surfaces that needs to be kept in sync as the product evolves.

Now exploring how we could benefit from @typesafeai to make the workflow even more efficient

Quoted post

@kenny_io35.6K views
source

Today I’m excited to announce @thallyio, the product knowledge layer for software teams. When your product changes, Thally finds the affected docs, website and support content, then opens evidence-backed PRs with proposed updates for your team to review and approve.

Engagement when collected

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under agents & workflows, coding & developer tools. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post