Partners

Contributions

Contribution paths for people who want to help inAi's public work: Open Source, documentation, examples, research notes, AI for Everybody, product feedback, translations, and public website improvements.

Help improve public work

inAi builds AI-native products and open technology for the intelligence era.

Some people will work with inAi as employees, interns, contractors, investors, research partners, pilots, or testers. Others may want a lighter path: improving a public repository, correcting documentation, suggesting a useful example, writing a clear explanation, helping with a translation, reviewing a public page, sharing structured product feedback, or proposing a focused idea that can improve the public work.

This page is for that contribution path.

It is not a job application page, not an internship page, not a product-support page, not a generic contact form, and not a promise that every suggestion will be accepted. It is the place for serious public contributions to inAi’s Open Source projects, public documentation, product explanations, research-adjacent notes, AI for Everybody, website architecture, product feedback, and ecosystem work.

Who this page is for

This page is for people who want to help inAi’s public work without necessarily starting a formal employment, internship, investment, research, or pilot conversation.

The best contributions are concrete. A useful contribution usually identifies a problem, proposes a fix, improves a public asset, adds an example, clarifies a page, corrects an error, or makes a public project easier to use.

  1. A developer who wants to improve a public Open Source repository.
  2. An AI builder who wants to test a tool, suggest an example, or improve developer experience.
  3. A documentation contributor who can make public repositories easier to understand.
  4. A researcher or technically serious reader who can suggest sources, notes, corrections, or research directions.
  5. A writer who can explain AI, agents, AGI, work, risks, or product ideas clearly.
  6. A translator or editor who can help turn English source copy into clearer French or other public text later.
  7. A designer who can suggest clearer visual structure, page hierarchy, or explanation patterns.
  8. A product thinker who can give structured feedback on PageMind, Emplo, Products for Agents, Open Source, AI for Everybody, or the website.
  9. A tester who wants to report a useful issue, but does not yet need a full tester relationship.
  10. A community-minded builder who can help public tools become more useful.
  11. Someone who understands that contribution is not only code.

How inAi thinks about contributions

Contributions should make public work better.

That public work may be a repository, a page, a guide, an explanation, a research-output list, a product-category description, an example, a translation, a form route, a documentation file, or a feedback report. The common point is simple: the contribution should help inAi bring AI into real products, real workflows, real agents, real Open Source tools, and real public understanding.

What you can contribute to

There are several useful contribution areas. Not all areas are always open for active collaboration, and not every contribution can be accepted. Still, these are the categories where public contribution can make sense.

Contribution paths

Different contribution types should go through different paths.

What makes a good contribution

A good contribution is useful, specific, and respectful of the project’s boundaries.

What inAi can offer contributors

A contribution path should be honest.

inAi can offer a place where serious public contributions may improve real work: repositories, documentation, public explanations, product pages, research-adjacent notes, and website structure.

Depending on the contribution, inAi may offer review when capacity allows, discussion on GitHub or by email, public credit where appropriate and agreed, merge or publication if the contribution fits, follow-up conversation if the contribution suggests deeper collaboration, or a route toward Work with us, Internships, Testers, Academia / Research, or Partners where relevant.

But inAi does not guarantee response to every message, acceptance of every contribution, merge of every pull request, publication of every article, payment, employment, internship acceptance, investor access, formal partnership, public credit in every case, ongoing maintainer status, access to internal systems, or access to private roadmap or architecture.

The contribution path is open, but it is not automatic.

Review and acceptance

inAi may evaluate contributions based on relevance to current public architecture, whether it improves a real page or repository, accuracy, review scope, respect for maturity labels, avoidance of private material, unsupported claims, tone, maintenance burden, product/legal/trust/public-private boundaries, and whether the contributor has the right to share the material.

A contribution can be useful and still not be accepted.

Reasons may include timing, scope, quality, mismatch with current priorities, legal/IP concerns, unsupported claims, implementation burden, maintenance burden, or simply lack of capacity.

Credit, rights, and licenses

Do not send material unless you have the right to share it.

For repository contributions, the relevant repository license and GitHub contribution norms apply. Read the repository license and any contribution instructions before submitting code, documentation, examples, or other repository material.

For writing, research notes, translations, website copy, diagrams, examples, or product feedback, do not assume that sending material creates a confidential relationship, paid relationship, employment relationship, partnership, or obligation to publish. If a contribution becomes substantial, inAi may need a clearer agreement before using it.

If the rights situation is unclear, do not send the material in the first message. Describe the idea instead.

  1. Do not send confidential company material.
  2. Do not send copyrighted material you do not have the right to share.
  3. Do not send private datasets.
  4. Do not send personal data.
  5. Do not send supplier data.
  6. Do not send candidate data.
  7. Do not send customer data.
  8. Do not send unreleased third-party material.
  9. Do not send trade secrets.
  10. Do not send credentials.
  11. Do not send proprietary code that cannot be shared publicly.
  12. Do not send material under incompatible license terms.

Examples of useful contributions

What not to send

  1. Generic “I want to contribute” messages with no specific area.
  2. Mass outreach.
  3. Hidden job applications disguised as contribution offers.
  4. Requests for internal prompts, private architecture, model or infrastructure details, credentials, security details, or internal systems.
  5. Customer data, supplier data, candidate data, personal data, or private datasets.
  6. Confidential files from your employer, university, customer, supplier, or client.
  7. Copyrighted content you do not have rights to share.
  8. Unsupported claims that inAi has AGI, sells AGI, has customers, has partnerships, has grants, has product metrics, or has certifications.
  9. Claims that Open Source commercial use is forbidden unless the repository license says that.
  10. Private information about someone else.
  11. Speculative product names for inAi’s private internal work.
  12. Spam issues or low-effort pull requests.
  13. Large rewrites without discussion.
  14. Unrelated AI tool promotions.
  15. Competitor-comparison pages.
  16. Legal, financial, medical, or regulatory advice.
  17. Malware, scraping abuse, exploit code, credential material, or surveillance proposals.
  18. Anything that would require inAi to handle sensitive data before a relationship exists.

What to send

A useful contribution message should be short and specific.

Please include your name; the contribution area; the page, repository, or product category involved; what you noticed; what you propose; links to relevant work; whether you are proposing a one-time contribution or ongoing collaboration; any rights/license context if you are sending code, text, examples, research notes, translation, or design material; and the best way to contact you.

For GitHub contributions, include repository name, issue or pull request link, environment, reproduction steps, expected result, actual result, and proposed fix if any.

For writing or research contributions, include topic, target reader, suggested title or question, short outline, source notes, claim boundaries, and whether you want credit if published.

For website/copy corrections, include page URL, current wording, issue, suggested wording, and why the change improves clarity or claim safety.

Example first message

Subject: Contribution — [Area] — [Your name]

My name is [name]. I would like to contribute to [repository / page / product category / AI for Everybody / Products for Agents / Open Source documentation].

I noticed [specific issue or opportunity].

I propose [specific contribution].

I have the right to share this material, and it does not include private customer, supplier, candidate, employer, or personal data.

For code and repository changes, GitHub issues or pull requests are usually better than email. For broader contribution ideas, use Contact or email contact@inai.world.

Contact route

Use the route that matches the contribution.

For Open Source repositories, start from the relevant GitHub repository where possible. Use Open Source to find the public project list.

For general contribution ideas, use Contact if available, or email contact@inai.world.

For broader collaboration, use Partners or the relevant partner page.

For work or internship interest, use Work with us or Internships.

For product testing, use Testers.

For research collaboration, use Academia / Research or email research@inai.world.

For partnerships, pilots, grants, institutions, or investors, use the relevant partner page or email partnerships@inai.world.