Disclosures & Attribution

AI Collaboration Disclosure

This project was developed through human-AI collaboration. We believe in transparency about how AI assistants contributed to this work.

What This Means

• Human direction: All strategic decisions, goals, and direction come from human contributors
• AI assistance: AI assistants (primarily Claude by Anthropic) helped with drafting, research, code generation, and iteration
• Human review: All AI-generated content was reviewed, edited, and approved by humans
• Iterative process: Development followed DIDP’s phase-based workflow with human checkpoints

Why Disclose?

1. Honesty: Readers deserve to know how content was created
2. Reproducibility: Others can understand and replicate our process
3. Trust: Transparency builds trust with users and adopters
4. Precedent: We believe AI collaboration disclosure should become standard practice

Development Process

DIDP Foundation (1-FOUNDATION, 2-FOUNDATION)

The initial DIDP and PPP specifications were developed through extended conversations between human collaborators and Claude (Anthropic). The process:

1. Human: Identified the problem (AI context loss, session discontinuity)
2. Human + AI: Explored solutions through conversation
3. AI: Drafted initial specifications based on discussions
4. Human: Reviewed, critiqued, and refined drafts
5. AI: Incorporated feedback, produced revised versions
6. Human: Made final decisions on structure and content
7. Both: Iterated until specifications were complete

Content Types

Content	Human Contribution	AI Contribution
Strategic direction	Primary	Advisory
Specifications	Review, approval	Drafting, structuring
Documentation	Review, editing	Drafting, examples
Code	Review, testing	Generation, refactoring
Architecture decisions	Primary	Analysis, options

Attribution

Human Contributors

• Dustin M. Gelegonya — Project lead, JellyLabs.ai founder
  • Strategic direction
  • Architecture decisions
  • Final approval authority

AI Contributors

• Claude (Anthropic) — Primary AI collaborator
  • Specification drafting
  • Documentation writing
  • Code generation
  • Research and analysis

Tools & Technologies

• Astro — Static site generator
• Bun — JavaScript runtime and package manager
• Claude Code — AI-assisted development environment

Licensing

Specifications (DIDP, PPP)

The DIDP and PPP specifications are released under permissive terms to enable adoption:

• Free to implement
• Free to reference
• Attribution appreciated but not required

Documentation

Documentation on this site is provided for educational purposes. See individual pages for specific licensing if applicable.

Code

Code in the JellyLabs repositories is typically MIT licensed unless otherwise noted.

Contact

For questions about attribution, collaboration practices, or licensing:

• GitHub: jellylabs-ai
• Website: jellylabs.ai

Changelog

Date	Change
2025-12-23	Initial disclosure document created

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This disclosure document itself was drafted with AI assistance and reviewed by human contributors.