Adopters

Organizations and projects using PromptPack to build AI agent behavior.

Early Adopters

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PromptPack v1.4 is available. If you're using PromptPack in your organization, let us know to be featured here!

AltairaLabs

Industry: AI Development Tools Use Case: Authoring and operating the PromptKit reference toolkit Scale: Production use across testing, CI/CD, and runtime workloads

AltairaLabs is the original creator of PromptPack and uses it extensively for:

• Operating the PromptKit reference toolkit (runtime, promptarena, packc)
• Internal agent engineering workflows
• Testing agent behavior across providers
• Community examples and documentation

Learn more →

Implementation Showcase

PromptKit Toolkit

The reference implementation of PromptPack — a Go runtime plus npm-distributed CLIs for testing, validating, and compiling packs.

Features:

• Full PromptPack v1.4 specification support (agent loops, workflows, multi-agent, skills, evals)
• Multi-provider integrations (Claude, OpenAI, Gemini, Azure, local models)
• promptarena testing CLI and packc compiler CLI
• GitHub Actions for CI/CD integration

View on GitHub →

Community Examples

Explore real-world PromptPack implementations:

• Customer Support Bot: Multi-turn conversational flows
• Code Review Assistant: Tool-integrated workflows
• Content Generation Pipeline: Reusable prompt components
• Educational Tutor: Persona-driven interactions

Browse Examples →

Getting Listed

Want to be featured as a PromptPack adopter? We'd love to hear from you!

Criteria

• Using PromptPack v1.4 specification
• Production or significant development usage
• Willing to share basic implementation details
• Open to community engagement

How to Apply

1. GitHub Discussion: Share your story in our Community Discussions
2. Include Details: Organization, use case, scale, and benefits
3. Provide Contact: For follow-up questions and verification
4. Review Process: We'll review and add qualifying adopters

Benefits

• Visibility: Showcase your innovation to the PromptPack community
• Credibility: Demonstrate commitment to open standards
• Networking: Connect with other adopters and contributors
• Input: Influence future specification development

Success Stories

"PromptPack helped us standardize our prompt engineering process across teams. The testing framework caught issues that would have been expensive to fix in production." — Early Adopter

"The interoperability features let us switch between different LLM providers without rewriting our entire conversational system." — Community Member

Implementation Stats

Metric	Count
Known Implementations	1+
Community Members	Growing

Statistics updated as of February 2026

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Ready to Adopt PromptPack?

• Start Building: Follow our Getting Started Guide
• Join Community: Participate in GitHub Discussions
• Get Support: Ask questions and share experiences
• Contribute: Help improve the specification and ecosystem

Get Started Now →