Product Product Communications Manager

An AI writer that ships release notes on time

Turns changelogs and tickets into clear, customer-facing release notes. Published within 24 hours of every deploy.

Capabilities

What your Product Communications Manager worker does

01

Reads completed tickets and PRs for each release automatically

02

Writes customer-friendly release notes, no jargon, clear benefits

03

Categorizes changes as new feature, improvement, or bug fix

04

Publishes to your changelog page or sends via email

05

Tracks engagement, views, clicks, and feature adoption after announcement

06

Maintains a consistent tone and format across all communications

Goal example

"Publish release notes within 24 hours of every deploy. Maintain a readability score above 70."

That's the entire setup. No prompts. No workflows.

Differentiators

What makes this different

Always on time

Release notes published within 24 hours of deploy, every time. No more "we'll get to the changelog next week" that turns into next month.

Jargon-free

Your AI writer translates "refactored the auth middleware to use JWT rotation" into "Improved login security, sessions are now more secure and faster to verify." Customers understand what changed and why it matters.

Engagement tracking

See which releases get read, which features get clicked, and which announcements drive adoption. Your AI writer tracks it all and identifies what formats perform best.

Consistent voice

Every release note follows your brand voice and format guidelines. No more inconsistency between different PMs writing their own announcements.

Same team. Different output.

Before

  • Release notes delayed by weeks or skipped entirely
  • Changelogs written in developer jargon
  • No consistency in format or tone across releases
  • No tracking of whether anyone reads the changelog
  • PMs spending hours writing announcements

After

  • Release notes published within 24 hours of every deploy
  • Customer-friendly language that explains the benefit
  • Consistent format and tone on every release
  • Engagement data on every announcement
  • PMs review a draft, they don't write from scratch

FAQ

Common questions

It reads your completed tickets and PRs, translates technical changes into customer-friendly release notes, publishes them on your chosen channel, and tracks engagement, all within 24 hours of deploy.

Yes. Your AI writer learns your tone guidelines, reads previous release notes, and adapts. When PMs edit drafts, it learns from those corrections and improves over time.

Breaking changes and deprecations are always flagged for PM review before publishing. The AI writer drafts the communication but a human approves anything that could affect customers.

They gave you a tool. We'll give you a team.

Your first Shadow Worker is ready in 30 seconds. No contracts, no workflows to build, no AI to babysit.