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Application: Polkagent #2686
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Application: Polkagent #2686
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Signed-off-by: Xavier Lau <x@acg.box>
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@aurexav thanks for applying. Could you please change your application to comply with our template? Here are the changes needed:
Furthermore, can you take a read at our new guidelines and help us to outline how your application fits on it? How your application can help to increase the usage of DOT token? |
Signed-off-by: Xavier Lau <x@acg.box>
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Thanks for your quick reply, @diogo-w3f.
I apologise for not noticing that. I used AI to improve my English grammar. Fixed.
Of course, I already check that. I also add more detail to elaborate on the idea of this project. More specifically, https://github.com/w3f/Grants-Program/pull/2686/files#diff-81b9248ff1c8c625aa5d7a3d66d0855663d97818dfab1449a4c7eccd56582beaR133-R164. |
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@aurexav Thanks for the improvements. I’ll mark the application as ready for review. The committee will take a look, and new questions may arise. |
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Do you already have anyone who wants to use the tool or has specifically requested it? What's your target persona? Your current target audience is not very concrete.
I already have clear and broad target users, and the motivation for this project comes directly from real, day-to-day needs we face inside our own development workflow. 1. People who will use it right now (existing, real demand)
2. Clearly defined target personas (by priority)
These are not vague personas; each has clear jobs-to-be-done that Phase 1 (read-only) already supports. 3. Market signals and prior proposalsBefore designing Polkagent, I studied other relevant proposals:
Together they show two facts: Polkagent fills that gap with a macro-tool + Planner + natural-language design, starting with read-only capability and common queries first. 4. More advanced use cases (future phases with indexer integration)
These are indexer-backed, multi-data-source conversations, which will be introduced later — but they rely on the same macro-tool + Planner framework built in Phase 1. In the AI era, a tool like this is essential: it removes friction, attracts new users, keeps existing builders productive, and ultimately strengthens the whole Polkadot ecosystem. |
Project Abstract
Tag line (AI focus): Turn Substrate metadata into a few AI‑ready macro tools and a multi‑turn Planner, so agents and humans can query chain data safely in natural language.
Brief description:
Polkagent exposes a small, stable macro‑tool surface via a Rust CLI + HTTP gateway, plus an AI Planner for multi‑turn task solving. Instead of thousands of fine‑grained endpoints, we provide four high‑level tools designed for LLM/agent integration and manual CLI use.
Grant level
Application Checklist
project_name.md).@_______:matrix.org(change the homeserver if you use a different one)