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Sample outputs

Examples of release notes generated by the automation at different stages of refinement.

Example 1: Initial run (v1 prompt)

Repository: Sample docs repository (50 commits)
Date range: January 1 - January 31, 2024
Prompt version: v1 (simple)
Accuracy: approximately 65%

Generated output

# Release Notes

**Date:** 2024-01-31
**Period:** Since 2024-01-01

## New Features

- Add user authentication feature
- Create dashboard analytics view
- Improve search performance by 50% (Should be Enhancement)
- Add webhook support for integrations
- Update CI/CD pipeline configuration (Should be excluded - internal)

## Enhancements

- Update API response format for consistency
- Add better error messages (Should be New Feature)
- Refactor database connection pooling (Should be excluded or enhancement)

## Bug Fixes

- Fix memory leak in parser
- Resolve login timeout issue
- Improve validation logic (Should be Enhancement)
- Update dependencies (Should be excluded)

## Documentation

- Update API documentation with new endpoints
- Fix typos in README
- Add release notes process doc
- Update test documentation (Should be excluded - internal)

Issues

  • Performance improvement miscategorized as feature
  • Internal CI/CD changes included
  • Dependency updates included
  • "Improve" sometimes feature, sometimes enhancement
  • Test documentation included

Manual cleanup needed: 30-40 minutes


Example 2: Refined run (v4 prompt)

Repository: Same repository
Date range: January 1 - January 31, 2024
Prompt version: v4 (production)
Accuracy: approximately 91%

Generated output

# Release Notes

**Date:** 2024-01-31
**Period:** Since 2024-01-01

## New Features

- Add user authentication system - Supports OAuth2 and SAML providers
- Create dashboard analytics view - Real-time metrics for team performance
- Add webhook support for integrations - Enables third-party tool connections
- Introduce new API versioning system - Better backward compatibility

## Enhancements

- Improve search performance by 50% - Faster results for large datasets
- Update API response format - More consistent JSON structure
- Optimize database connection pooling - Reduced latency under high load
- Better error messages with context - Easier debugging for developers

## Bug Fixes

- Fix memory leak in parser - Resolves high memory usage over time
- Resolve login timeout issue - Users can now stay logged in as expected
- Correct validation logic for email fields - Accepts valid international emails

## Documentation

- Update API documentation with new endpoints
- Fix typos in README and getting started guide
- Add troubleshooting section to developer docs

Improvements

  • Performance improvement correctly categorized
  • Internal changes (CI/CD, tests, dependencies) excluded
  • Clear feature/enhancement distinction
  • Context added where commit messages were vague
  • Only user-facing changes included

Manual cleanup needed: 10-12 minutes (mostly adding business context)


Example 3: Real world - API documentation

Repository: API documentation repository
Date range: 2 week sprint
Commits: 35
Prompt version: v4 customized for docs repo

Generated output

# Documentation Updates - Sprint 24

**Date:** 2024-01-28
**Period:** Sprint 24 (January 15-28, 2024)

## New Content

- Added GraphQL API reference documentation
- Created getting started guide for REST API
- New tutorial: Integrating webhooks with your system
- Added code examples in Python and JavaScript

## Content Improvements

- Updated authentication guide with OAuth 2.0 details
- Improved error response documentation with more examples
- Enhanced API overview with architecture diagrams
- Better organization of endpoint reference pages

## Content Fixes

- Corrected incorrect parameter types in product endpoints
- Fixed broken links to external resources
- Updated outdated rate limiting information
- Corrected code examples that had syntax errors

## Site Improvements

- Improved search functionality for better discoverability
- Added dark mode toggle
- New responsive navigation for mobile users

Notes:

  • Categories customized for documentation repository
  • "Bug Fixes" renamed to "Content Fixes" (more appropriate)
  • All commits are user-facing (no internal exclusions needed)
  • Focus on reader impact, not technical implementation

Example 4: Real world - E-commerce application

Repository: Frontend application
Date range: 1 month
Commits: 87
Prompt version: v4 customized for frontend

Generated output

# Release Notes - February 2024

**Date:** 2024-02-01
**Period:** February 1-28, 2024

## New Features

- **Product Filters** - Added advanced filtering by category, price range, and ratings
- **Save for Later** - Users can now save items and get back-in-stock alerts
- **Order Tracking** - New dashboard to track order and shipping status
- **Product Reviews** - Browse reviews and ratings from verified purchasers
- **Mobile Checkout Wizard** - Simplified checkout flow for mobile users

## Enhancements

- **Search Performance** - 60% faster product search results loading
- **Checkout Form** - Better autofill for returning customers
- **Navigation** - Redesigned header for improved discoverability
- **Accessibility** - Better screen reader support throughout site
- **Responsive Design** - Improved experience on tablets and mobile

## Bug Fixes

- **Login** - Resolved issue where some users couldn't log in on Safari
- **Checkout Submit** - Fixed error when applying multiple discount codes
- **Search Results** - Corrected issue with filters not persisting
- **Email Notifications** - Fixed timing issue with order confirmation emails
- **Mobile Menu** - Resolved menu not closing on navigation

## UI Improvements

- Refreshed color scheme for better contrast
- Updated button styles for consistency
- New loading animations
- Improved empty states with helpful messages

Notes:

  • Added custom "UI Improvements" category for frontend
  • Emphasized user benefits over technical implementation
  • Organized by feature area when multiple related changes
  • Clear, user-friendly language

Example 5: Before versus after comparison

Same commit set, different prompts

Commit: "Refactor authentication flow to use JWT tokens"

With v1 prompt:

## New Features
- Refactor authentication flow to use JWT tokens (Incorrect)
Issue: Categorized as feature (enhancement to existing auth)

With v4 prompt:

## Enhancements
- Update authentication system to use JWT tokens - Improved security and performance
Better: Correctly categorized as enhancement with context added


Commit: "Fix typo in API response field"

With v1 prompt:

## Bug Fixes
- Fix typo in API response field (Incorrect)
Issue: Should be excluded if only in documentation

With v4 prompt:

[Excluded - typo fix]
Better: Correctly filtered out per exclusion rules


Commit: "Add caching layer for API responses"

With v1 prompt:

## Enhancements
- Add caching layer for API responses (Incorrect)
Issue: "Add" suggests new feature, but lacks clarity

With v4 prompt:

## New Features
- Add response caching system - Significantly improves API performance
Better: Correctly identified as new capability with context


Output format variations

Minimal format

## New Features
- Add user authentication
- Create dashboard view

## Enhancements
- Improve search performance
- Update API format

## Bug Fixes
- Fix memory leak
- Resolve timeout issue
## New Features

- **User Authentication** ([#123](link)) - Complete OAuth2 and SAML support for enterprise customers
- **Analytics Dashboard** ([#145](link)) - Real-time team performance metrics with customizable views

## Enhancements

- **Search Performance** ([#167](link)) - 50% faster results through improved indexing
- **API Response Format** ([#178](link)) - More consistent JSON structure across all endpoints

## Bug Fixes

- **Memory Leak** ([#189](link)) - Resolved parser memory issue affecting long-running processes
- **Login Timeout** ([#192](link)) - Users can now stay logged in as configured

Audience-specific format (external customers)

# What's New in February

We're excited to share these improvements to your experience:

**New Capabilities**

**Product Filters** - Find exactly what you're looking for with advanced filtering

**Save for Later** - Never lose track of items you love - save products and get alerts

**Improvements**

Faster search results (60% improvement)
Better mobile experience
Improved accessibility features

**Bug Fixes**

We've resolved several issues reported by customers:
- Login issues on Safari
- Discount code application errors
- Filter persistence problems

As always, we appreciate your feedback. Contact support@company.com with questions.

Key takeaways

What makes good output

Accurate categorization - Features are truly new, enhancements improve existing Appropriate exclusions - No internal changes, test updates, or WIP commits
Clear language - User benefits described, not implementation details Consistent format - Easy to scan and read Helpful context - Vague commit messages clarified

What needs improvement

Mixed categories - Same type of change categorized differently Internal content - CI or CD, tests, or tooling changes included Unclear value - No context on why change matters Too technical - Implementation details obscuring user benefit Missing items - User-facing changes accidentally excluded

Remember

The automation generates a draft, not a final product. Always:

  1. Review categorization accuracy
  2. Add business context where needed
  3. Remove anything that slipped through filters
  4. Adjust language for your audience
  5. Add links to related documentation

Time investment: 10-15 minutes of review versus 90+ minutes of manual curation


Try the tutorial to see this in action.