As AI transforms how people learn, both study habits and the teacher‑student relationship are being reshaped. At MuleRun, our goal is to partner with builders globally to rebuild the learning workflow — from goal setting and knowledge acquisition to practice and feedback — using AI agents.
To achieve this, we are launching the MuleRun Builders Program, a long-term initiative to recruit and collaborate with builders of exceptional agents for the Learning Toolkit space. Together, we will build the next-generation infrastructure for learning tools.
What kinds of agents are we looking for?
Any agent that helps users learn more efficiently is welcome.
Relevant use cases include (but aren’t limited to):
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Study plan generation; academic / course material search
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Document breakdown and summarization; visual explanations; converting class recordings into text notes
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Mind map generation; knowledge flashcards / spaced‑repetition cards
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Material Q&A; self‑quizzing and diagnostics
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Paper polishing, structure optimization, and plagiarism‑check assistance
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Reading coach, listening practice, writing guidance, speaking coach / conversation practice
You can build in any of the above areas — or propose a completely new learning scenario or tool form.
What you’ll get
Once your application passes review, you’ll be invited into a dedicated Learning Toolkit Co-build Group and get access to:
Distribution & visibility
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Long-term placement on our Learning Toolkit hub and category pages -
Targeted off-platform promotion through paid channels, KOL networks, and affiliate partnerships
Exclusive incentive programs
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Extra cash incentives and sprint programs focused on Learning Toolkit agents
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Opportunities to join platform-level product co-build, get featured placements, and receive more promotion
Product and monetization co-design
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1:1 discussions on product direction, quality criteria, and pricing strategy
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Scenario-level insights from real usage data and user feedback, to help you build agents that hold up in the market
Early access to new capabilities
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Priority testing of Learning Toolkit related features (e.g., multi-agent workflows, cross-platform publishing)
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First access to experimental scenarios and new interaction patterns
Who should apply?
This program is a good fit if you are:
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An individual or team that has already built Learning Toolkit related agents or tools
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An education industry practitioner who deeply understands learning scenarios and pain points
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A creator who believes in automating / augmenting the learning process and wants to realize those ideas through agents
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No agent published yet but knows the Learning Toolkit space well and has a clear direction — you’re also very welcome
How to join
This is a long‑term co‑build program with limited seats. We review applications on a rolling basis to keep the group small and focused.
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Fill out the application form (introduce yourself/your team, your existing work, or the direction you want to work on).
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After review, we’ll contact you and invite you into the co‑build group.
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We’ll then work in batches to refine and grow benchmark agents in this scenario together.
We’re looking forward to working with experts and creators in the Learning Toolkit space to make AI agents a reliable part of the content industry’s core infrastructure.
Let’s build tools users actually rely on — not just try once.
Apply now!