How do you write release notes customers actually read?
A release notes AI Employee that turns each release's shipped work into benefit framed, customer facing notes written for the person using the product, not the engineer who built it. It then hands the draft to product marketing to publish.

The engineering changelog and the customer release notes are two different documents doing two different jobs, and customers only ever read one of them. The changelog is a list of what changed, such as merged pull requests, ticket numbers, and internal component names, written by engineers for engineers. It's accurate and it's unreadable to the person who bought the product. What that person wants to know is simpler and harder to write: what can I now do that I couldn't do last week, and why should I care. So the customer facing notes get written by hand under release day pressure, or they get skipped and the raw changelog gets pasted in its place. Either way the translation from shipped work to customer benefit is the part that falls off. A feature that took a month to build ships to customers as a one line commit message, and the value nobody bothered to phrase goes unread.
The release notes AI Employee reads what actually shipped in a release from the issue tracker and the internal changelog, and drafts customer facing release notes framed around what each change lets a customer do: the benefit, not the implementation. It writes the draft to Docs and never publishes it. It translates and drafts; a named product marketer edits the voice and is the one who ships the notes to customers.

See exactly how the work gets done.
Runs on each release
A run fires when a release is cut. Each run starts clean and reads exactly what shipped in that release, so the notes cover this release's work and nothing carried over or half finished.
Separates customer benefit from engineering detail
What belongs in customer notes and what stays internal, and how to phrase a change as a benefit rather than a commit, travel with the AI Employee as a skill. The internal changelog is a source it reads, not the document it produces.
Connects to your systems, with permissions you set
It reads shipped items from the issue tracker, reads the internal changelog for what merged, and writes one customer facing draft to Docs. Credentials stay in memory, never written to disk, never exposed to the model.
Drafts benefit framed, not change framed
Each note leads with what the customer can now do and why it matters, with internal ticket detail left behind. The draft reads like something a customer would finish, not a list they'd scroll past.
Hands off to PMM as a draft
It posts the draft notes for review with links back to the shipped work. A named product marketer edits the voice, trims what shouldn't be public, and is the one who publishes.
Runs in your environment
Every run is isolated inside your own infrastructure. The release data never leaves it. Only the draft notes and the flag to PMM do.
Never publishes to customers
It writes a draft to Docs and stops. It has no path to a customer facing surface. Publishing is the product marketer's action, not its own.
Read only on the changelog and tracker
It reads the internal changelog and shipped tickets as sources; it never edits either. Its only write is the draft document.
Internal detail stays internal
It filters engineering only items and internal names out of the customer draft by rule, so private detail isn't one edit away from being published.
You own every rule
What counts as customer facing, the benefit framing style, and its per system permissions are yours, versioned and changed on your terms, not buried in a vendor dashboard.
A release that used to ship to customers as a pasted changelog now arrives in PMM's queue as benefit framed notes, written for the person using the product. The AI Employee translates and drafts; your product marketer edits the voice and publishes.
Every release
A customer facing draft is written the moment the release is cut, not days later
1 draft
One benefit framed draft per release, sourced to the shipped work
0 auto publishes
Every note held for a named PMM to edit and publish

Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do you turn scattered feedback into a ranked list of what to build?
Gathers feedback from the help desk, public reviews, and Slack on a schedule, clusters it into themes with quotes and counts, and creates or updates one issue tracker issue per theme. It quantifies; people own what to build.
How do you draft a PRD from the requests that asked for it?
Clusters inbound feature requests by theme and writes a first draft PRD per theme, each one citing the requests behind it. The PM finalizes; it never ships a spec.
How do you tag every feature request to a roadmap theme?
Tags each inbound feature request to a roadmap theme as it arrives and routes it to the owner. It tags and routes only, and never reprioritizes the roadmap.