PACE Pattern v1.0.1 - Clean Academic Repository

PACE Pattern v1.0.1 ✨

Professional release with cleaned git history

What's New in v1.0.1

Repository Cleanup

• ✅ Removed internal process documentation (audit files, planning docs)
• ✅ Removed marketing content (launch strategy)
• ✅ Clean git history (5 focused commits)
• ✅ Academic-grade presentation

Content Improvements

• ✅ Updated to millpond.dev custom domain
• ✅ Replaced all false product examples with authentic MCP examples
• ✅ Zero false claims - all examples now verifiable
• ✅ Enhanced credibility for scholarly citation

Core Documentation

• README.md: Pattern overview with PACE principles
• PRINCIPLES.md: Deep dive on Proactive, Adaptive, Contextual, Efficient
• IMPLEMENTATION.md: Technical guide with animations
• INSPIRATION.md: Biological foundations (cormorant research)
• METRICS.md: Framework for measuring effectiveness
• CONTRIBUTING.md: Community participation guidelines
• CITATION.cff: Machine-readable citation

Reference Implementation

MillPond - Live at millpond.dev

Latest features:

• Executive Summary Panel (transparency innovation)
• Animated Cormorant guide (brand personality)
• Product detail modals with actions
• Dynamic pills and quick actions
• Full PACE compliance

Academic Credentials

DOI: 10.5281/zenodo.18048903
Author: Michael Shatny (ORCID: 0009-0006-2011-3258)
License: CC BY 4.0

Citation

@software{shatny_2025_pace,
  author       = {Shatny, Michael},
  title        = {PACE: Pattern for Agentic Conversational Experience},
  month        = dec,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {v1.0.1},
  doi          = {10.5281/zenodo.18048903},
  url          = {https://doi.org/10.5281/zenodo.18048903}
}

What is PACE?

PACE is a design framework for guide-first interfaces where AI leads users through conversation rather than traditional navigation.

Four Principles:

1. Proactive - Anticipates needs and offers next steps
2. Adaptive - Matches user expertise and adjusts communication
3. Contextual - Remembers conversation and synthesizes understanding
4. Efficient - Concise, actionable, respects user's time

Key Innovation: The Executive Summary Pattern - a visible display showing what the AI guide has learned in real-time, transforming "black box AI" into transparent collaboration.

Get Started

# Clone the repository
git clone https://github.com/semanticintent/pace-pattern.git

# Explore the documentation
cd pace-pattern
open README.md

# Check out the reference implementation
open https://millpond.dev

Contributing

We welcome community implementations, case studies, and improvements!

See CONTRIBUTING.md for guidelines.

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Repository: https://github.com/semanticintent/pace-pattern
Reference: https://millpond.dev
DOI: https://doi.org/10.5281/zenodo.18048903

🐦 "Don't make users hunt. Let the guide fish for them."

PACE Pattern v1.0.0 - Initial Public Release

PACE: Pattern for Agentic Conversational Experience

First public release of the PACE pattern - a comprehensive framework for building guide-first AI interfaces.

🎯 What's Included

Core Documentation

• PRINCIPLES.md - Deep dive on Proactive, Adaptive, Contextual, Efficient
• IMPLEMENTATION.md - Technical guide with code examples and animation guidelines
• INSPIRATION.md - Biological foundations from cormorant foraging research
• METRICS.md - Framework for measuring PACE effectiveness
• CONTRIBUTING.md - Community participation guidelines

Reference Implementation

• MillPond case study - Production metrics demonstrating PACE effectiveness
  • 8.4% conversion rate (vs. 2.8% traditional)
  • Executive Summary Panel innovation
  • Animated guide with personality
  • Dynamic contextual pills

✨ Key Innovations

1. Executive Summary Pattern - Transparent display of AI context building trust
2. Animation Guidelines - Creating personality through purposeful motion
3. Recursive Acronym - Pattern/Principles dual meaning
4. Biological Grounding - Research-backed cormorant foraging metaphor
5. Production Validation - Real metrics from MillPond storefront

📚 Citation

Author: Michael Shatny
ORCID: 0009-0006-2011-3258
License: CC BY 4.0
Reference: Built on Semantic Intent methodology (DOI: 10.5281/zenodo.17114972)

🚀 Get Started

• Read the README
• See MillPond implementation
• Review implementation guide
• Check contribution guidelines

🐦 Welcome to the Pond

"Don't make users hunt. Let the guide fish for them."

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Full Changelog: https://github.com/semanticintent/pace-pattern/commits/v1.0.0