agentsUpdated·Falk Gottlob··updated ·5 min read

Automated Release Documentation Agent

Auto-generate release notes, customer comms, and doc updates as features ship. Saves hours on documentation and keeps comms consistent.

agentsshippingdocumentation
Helpful?

Try it live
See this agent running in the sandbox

Stream a simulated run, inspect the notifications it would send on Slack and email, and see exactly where it sits in the 7-stage PM OS flow. No password required.

The short version

The Release Documentation agent runs every Wednesday at 5 PM (and on demand for hot-fix releases). It reads the sprint's shipped features from Jira or Linear, the matching PRDs, and your docs repository, then generates four outputs at once: technical release notes, a customer-facing announcement email, a support team briefing with FAQs, and a documentation task list. The point is to stop spending Friday afternoon writing four versions of the same announcement that drift out of sync. Set it up so this Wednesday's release notes write themselves. Edit the customer email tone if needed and publish.

It's Friday afternoon. Your sprint is closing. Engineers have shipped 12 features. Now you need to:

  • Write release notes (technical, clear, links to docs)
  • Write customer-facing comms (marketing-friendly, explains the value)
  • Update docs (new features documented, old docs adjusted)
  • Notify the right people (sales, support, marketing, customers)

This takes hours. And it's easy to miss something or create inconsistency between the release notes and customer comms.

The Release Documentation agent automates all of it. As sprints complete or on a per-release basis, it reads the shipped features and auto-generates: release notes, customer email, support briefing, and doc structure. Ready to publish or edit.

How It Works

The agent ingests: shipped features (from Jira), PRDs, design specs, and documentation repository. It generates four types of output:

Release notes: Technical release notes with feature descriptions, API changes, deprecations, and links to docs. Structured so customers can quickly find relevant info.

Customer email: Marketing-friendly announcement email. "Here's what we shipped this week. Here's why you care. Here's what's next." Tone and length adjusted by audience (all customers vs. segment-specific).

Support briefing: Quick reference for support team. New features, how to use them, common questions, workarounds for known issues.

Doc structure: Outlines for documentation changes. New docs needed? Existing docs that need updating? Deprecations to note? The agent creates a task list.

Data Sources and Setup

Prerequisites: You'll need:

  • Jira or Linear: Sprint completion, shipped features with descriptions
  • PRDs and specs: For context on why each feature matters
  • Documentation repository: Existing doc structure, tone, style guides
  • Customer segments: To personalize comms by segment
  • Previous releases: For tone and format consistency
  • Design assets: Screenshots or GIFs of new features (for customer comms)

Schedule: Weekly Wednesday at 5 PM (sprint release). Also ad-hoc for hot-fix releases.

The Claude Prompt

You are generating release documentation from shipped features.

Here's what we shipped this sprint:
[SHIPPED FEATURES: 
- Feature name
- Description (from PRD or Jira)
- Affected customer segments
- Technical changes or API updates
- Related links (docs, code, design)]

Here's context on our product:
[CONTEXT: 
- Product name and description
- Customer types (enterprise, SMB, developers)
- Key values/positioning
- Documentation tone and structure
- Release notes conventions (previous examples)]

Here's our audience:
[AUDIENCE: customer segments, which care about which features, technical level]

Please generate:

1. **Technical Release Notes**
   - Brief intro ("This week we shipped...")
   - For each feature:
     - Feature name and brief description
     - Who benefits? (which segment)
     - Any API changes or technical notes? (deprecations, breaking changes)
     - Link to relevant docs
     - Link to design/screenshots if available
   - Deprecations section (if any)
   - Known issues (if any)
   - Upgrade instructions (if needed)

2. **Customer Email (All Customers)**
   - Subject line: catchy, benefit-focused
   - Opening: "We shipped X this week. Here's why it matters."
   - 2-3 sentences per feature (marketing tone, customer benefit)
   - Call-to-action (try it, read docs, contact us)
   - Optional: "Here's what's coming next" teaser
   - Closing: friendly, "questions? reach out"

3. **Support Briefing**
   - New features in plain language
   - Common questions customers will ask about each feature
   - How to answer those questions (1-2 sentence answers)
   - Any workarounds or caveats?
   - Links to docs support should reference
   - Known issues or edge cases?

4. **Documentation Task List**
   - New documentation files needed?
   - Which existing docs need updating?
   - Any deprecations to note in docs?
   - Any examples or screenshots to add?
   - Priority (this week or next week?)

Format clearly and ready-to-use: support should be able to copy-paste answers, marketing should be able to send the email with minor edits.

What You Get

Instead of manually writing release docs:

  • Automated generation: Release notes, customer email, support briefing in minutes
  • Consistent messaging: All comms are grounded in the same feature descriptions
  • Complete coverage: You don't miss communicating a feature because you forgot to update docs
  • Audience-specific: Customer email sounds different from technical release notes (as it should)
  • Task clarity: Doc team knows exactly what needs updating

Real outcomes:

  • Release days take hours instead of a full afternoon
  • Customer communication is consistent across all channels
  • Documentation stays current because it's updated during sprint completion
  • Support doesn't get confused by conflicting information about new features

For the full agent fleet and scheduling details, see Your AI Agent Fleet.

Share this post

Also on Medium

Full archive →

Keep Reading

Posts you might find interesting based on what you just read.