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64 changes: 64 additions & 0 deletions ai-ecosystem-sessions/application.md
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# AI Ecosystem Sessions Playbook (v1)

Purpose: This playbook defines how organizations apply to present at OpenClaw AI Ecosystem Sessions and how applications are evaluated. The process is designed to be open, fair, and efficient.

## How to apply

Open a GitHub issue using the AI Ecosystem Session Application template. Include:
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The playbook instructs applicants to use an "AI Ecosystem Session Application" GitHub issue template, but this repository currently has no .github/ISSUE_TEMPLATE (or other template) to reference. Either add the referenced issue template (and ideally link to it) or reword this to instruct users to open a regular issue and include the listed fields.

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Open a GitHub issue using the AI Ecosystem Session Application template. Include:
Open a new GitHub issue in this repository for your application and include:

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- Organization name and primary contact (must be a co-founder, CEO, or equivalent decision-maker)
- Session topic and format — what you'll present and what the audience will take away
- Community value — how this benefits OpenClaw developers (technical depth, tools, integrations, open-source contributions, etc.)
- Optional: coordination contact — a DevRel or community person who handles logistics day-to-day

Incomplete applications won't be reviewed. Submission order is recorded but is not the only scheduling factor.

## What we look for

Applications are evaluated on four criteria:


| Criteria | What it means |
| --------------------- | ----------------------------------------------------------------------------------- |
| Community relevance | Does the topic matter to OpenClaw developers and contributors? |
| Session specificity | Is there a clear, concrete plan — not just "we'll talk about our platform"? |
| Speaker credibility | Does the speaker have the expertise to deliver a strong session? |
| Open-source alignment | Is the project open-source, built on open-source, or contributing to the ecosystem? |


These are guidelines, not a scoring rubric. Each application is evaluated on its overall merit.

## How decisions are made

- The session coordinators (currently Jim and Andy) review applications and make scheduling decisions
- Applications are submitted as GitHub issues; decisions are posted publicly on the same issue — accepted, declined, or deferred — with a brief explanation
- The coordinators may consult other community members or maintainers for input on specific applications, but there is no formal committee at this stage
- All applicants receive a response
- Day-to-day coordination with accepted speakers happens on Discord

## Scheduling

Accepted sessions enter a scheduling queue. Scheduling considers:

- Topic diversity (avoiding back-to-back similar sessions)
- Speaker and community availability
- Time-sensitive relevance (e.g., tied to a launch or release)
- Waiting list order (earlier applicants get priority, all else being equal)

## Sponsorship and contribution

- Presenting at an Eco Session provides significant visibility to the OpenClaw community
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"Eco Session" is introduced here without being defined and is inconsistent with the rest of the document's "AI Ecosystem Sessions" terminology. Use the same term consistently (or define the abbreviation) to avoid confusion.

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- Presenting at an Eco Session provides significant visibility to the OpenClaw community
- Presenting at an AI Ecosystem Session provides significant visibility to the OpenClaw community

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- Commercial organizations are encouraged to contribute to the OpenClaw Foundation (financial sponsorship, developer resources, or ecosystem contributions) in recognition of this value
- Research institutions, startups in early stage, and educational organizations are exempt from sponsorship expectations
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Minor wording/grammar: "startups in early stage" reads awkwardly. Consider changing to "early-stage startups" (or similar) for clarity.

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- Research institutions, startups in early stage, and educational organizations are exempt from sponsorship expectations
- Research institutions, early-stage startups, and educational organizations are exempt from sponsorship expectations

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- Sponsorship details are handled separately and do not influence the evaluation criteria above

## Conflicts of interest

If a coordinator has a personal, professional, or financial relationship with an applicant, they disclose it and the other coordinator takes the lead on that review.

This process is open source. If you think something should change, open an issue or PR. As the sessions grow, we expect this process to evolve — adding more structure, more reviewers, and more formal oversight as needed.

## Revising this process

- This is v1 of the AI Ecosystem Sessions Playbook. It is intentionally lean. The goal is to be transparent about what we do and why, while retaining the flexibility to move fast and serve the community well. More structure will come as the program matures.

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