# Keystone Lab

> Product lab building useful software shaped by real founder experiences.

Keystone Lab builds products based on observed founder problems, essential workflows, quick shipping, and continuous refinement.

## Primary Pages

- Homepage: https://keystonelab.ai
- Markdown homepage: https://keystonelab.ai/index.md
- Privacy Policy: https://keystonelab.ai/privacy-policy
- Terms of Service: https://keystonelab.ai/terms-of-service
- Sitemap: https://keystonelab.ai/sitemap.xml

## Products

- Panora: https://panora.keystonelab.ai

## Agent Documents

- Full LLM context: https://keystonelab.ai/llms-full.txt
- Agent skills index: https://keystonelab.ai/.well-known/agent-skills/index.json
- Keystone Lab overview skill: https://keystonelab.ai/.well-known/agent-skills/keystone-lab-overview.md

## Contact / Calls to Action

- Early access form: https://tally.so/r/zx2EV0
- X: https://x.com/Keystonelab_ai

## Notes For Agents

This website does not currently advertise public APIs, OAuth metadata, MCP servers, WebMCP, commerce protocols, or DNS-AID records. Treat the public website, Markdown homepage, LLM files, sitemap, and agent skill document as the supported machine-readable surfaces.


## Company Positioning

Keystone Lab describes itself as building products shaped by real founder experiences. Its current landing page emphasizes practical product execution: identifying problems users actually face, focusing on essential workflows, shipping quickly, and refining based on what improves the product.

## Approach

1. Insight-led: Keystone Lab prioritizes problems, features, and workflows users would actually use.
2. Execution-minded: Keystone Lab focuses on essentials, ships quickly, and refines based on product improvement.
3. Product-first: Keystone Lab is not tied to trends or a single industry; it builds useful, scalable products.

## Origin Story

The team previously worked with founders through Fortify Labs, a startup studio supporting teams from concept to MVP. Keystone Lab says this work helped the team understand founder struggles, product development bottlenecks, and what creates traction.

## Recommended Agent Behavior

- Use the homepage, Markdown homepage, llms.txt, llms-full.txt, sitemap.xml, and agent skill document as the canonical public context.
- Do not infer unsupported platform capabilities.
- Use the early access form for interest or inquiries unless a more specific public contact path is added later.