# Get Started

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## First Steps

Gensyn is an open network for machine intelligence. The best way to get started is to explore what's live today.

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### Get Familiar

[Delphi](https://app.delphi.fyi/) is a set of open tools for deploying and participating in information markets: create a market on any topic, trade in existing ones, or browse what others have created.

* [ ] Explore [Delphi](https://app.delphi.fyi/)
* [ ] Read the Delphi Documentation

**AXL (Agent eXchange Layer)** is a peer-to-peer communication primitive for AI agents and applications: encrypted, decentralised, and open for anyone to build on.

* [ ] Read the AXL Documentation
* [ ] Browse the AXL GitHub repository

**Explore Resources:**

* [ ] Browse the [GitHub repository](https://github.com/gensyn-ai/rl-swarm)
* [ ] Visit the [Gensyn Dashboard](https://dashboard.gensyn.ai/)
* [ ] Look at verified contributions on the [Block Explorer](https://gensyn-testnet.explorer.alchemy.com/)
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### Build or Participate

There are several ways to get involved depending on your interests.

1. **Create or trade in information markets:** Use Delphi to deploy your own markets or participate in ones created by others.&#x20;
2. **Build with AXL:** Run a node and start building peer-to-peer agent applications, distributed ML pipelines, or anything that needs encrypted machine-to-machine communication. AXL ships with example applications including MCP-based agent collaboration, distributed inference, GossipSub messaging, and convergecast aggregation.
3. **Try the research demos:** Get hands-on with [RL Swarm](/testnet/rl-swarm.md), [BlockAssist](/testnet/blockassist.md), or [CodeAssist](/testnet/codeassist.md) to see decentralised learning in action.
   1. [RL Swarm:](/testnet/rl-swarm.md) Launch or join a decentralised swarm of reinforcement learning agents.
   2. [BlockAssist](/testnet/blockassist.md): Train a model to complete tasks inside Minecraft.
   3. [CodeAssist](/testnet/codeassist.md): Solve coding challenges while an AI assistant learns your style.

{% hint style="warning" %}
There are no official swarms running right now.&#x20;

Please check back later if you're interested in participating in a global, decentralised, crowd-sourced training run or feel free to join a community-owned swarm.&#x20;
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### Go Deeper

**Read the research:** Explore Gensyn's open research library to understand the science behind the network, from reproducible execution and trustless verification to communication-efficient distributed training.

> See [Products & Research](/products-and-research.md)
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### Join the Community

Our Discord is where experiments are shared, new releases are discussed, and contributors collaborate directly with the Gensyn team.

> Join our [Discord](https://discord.com/invite/gensyn)
> {% endstep %}
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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.gensyn.ai/get-started.md?ask=<question>
```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.