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PACE Pattern v1.0.1 - Clean Academic Repository

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@semanticintent semanticintent released this 24 Dec 19:57
· 2 commits to main since this release
v1.0.1
cba1ab9

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.

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."

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