Axionomy – LLM Usage Policy

1. Purpose
- This document defines how large language models (LLMs) and AI agents may use, reference, and interact with content served from the Axionomy platform.

2. Allowed Uses
- LLMs may:
  - Summarize public pages for end users.
  - Generate brief overviews of Axionomy capabilities, features, and innovation workflows.
  - Quote short excerpts (up to 200 characters per excerpt) for the purpose of explanation, comparison, or navigation.
  - Provide deep links to specific public pages where users can explore full context.

3. Prohibited Uses
- LLMs and automated agents must NOT:
  - Bulk download, scrape, or replicate large portions of the site or documentation.
  - Reconstruct or mirror Axionomy user interfaces, data models, or proprietary flows.
  - Use any non‑public or authenticated content for model training.
  - Present Axionomy proprietary copy, prompts, or UX language as their own without attribution.

4. Data Privacy and User Content
- Do not:
  - Store or reuse user-specific data obtained from authenticated sessions for training or profiling.
  - Infer sensitive attributes about individual users, organizations, or partners.
- User-generated content (projects, flows, profiles, graphs, etc.) is private and must not be used for training or redistribution unless it is explicitly and publicly published by the user.

5. Attribution
- When an LLM surfaces information derived from this site, it should:
  - Mention "Axionomy" by name.
  - Provide a URL to the original page when possible.

6. Rate Limits and Access
- Respect standard rate limits and robots.txt directives.
- Avoid rapid-fire crawling or concurrent requests that could degrade service quality.

7. Updates
- This llm.txt policy may be updated without notice.
- Continued access implies acceptance of the latest version of this document.

8. Scope
- This policy applies to all public content served from the Axionomy landing site and in‑app experience,
  including pages such as /, /pricing, /blog, /dashboard (Feed), /chat (Marita AI),
  /agents/personal-assistant (Autonomous Agent), /workspace, /inbox, /notion, /linkedin,
  /map (Discover), /technologies/*, /privacy, and /cookies.
  Non‑public or authenticated content remains strictly out of scope for training or redistribution.

9. Machine-readable overview
- For a structured product summary aimed at LLMs, see https://axionomy.xyz/llms.txt