> For the complete documentation index, see [llms.txt](https://docs.myshell.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.myshell.ai/launchpad/how-to-launch-a-token.md).

# How to Launch a Token

Shell Launchpad is the ultimate tool to launch and tokenize your AI agent.

{% stepper %}
{% step %}
**Creating Your AI Agent**

Creating an AI agent has never been easier with MyShell.\
If you have great ideas about creating AI agents, you can easily make them a reality!

We offer 3 modes to suit everyone from beginners to masters:

1️⃣ [Classic Mode](/create/classic-mode.md) – Perfect for beginners building basic AI agents. It features an intuitive interface with LLM selection and prompt writing.\
2️⃣ [Pro Config Mode](/create/pro-config-mode.md) – A low-code option for advanced developers. It combines AI widgets with human-controlled logic, making it easier to build interactive state machines.\
3️⃣ [ShellAgent Mode](/create/shellagent-mode.md) – A no-code, professional framework for building multi-agent applications.

With 300+ modular AI widgets, anyone can build complex AI agents with ease.

<figure><img src="/files/cRLLrhZGL0Ts1WbpwkgL" alt=""><figcaption></figcaption></figure>
{% endstep %}

{% step %}
**Growing Your Presence on Social Media** (optional)

🟣 Building an AI agent is one thing—getting noticed is another. Even the best agents need strategic content distribution. The most successful AI agents didn’t blow up by chance—they grew through platform-driven promotion and community engagement.

🟣 On MyShell, visibility isn’t limited by social media followings. Creators can stand out through modular multi-modal abilities in ShellAgent, integrating LoRAs and leveraging user interactions for organic exposure.

🟣 Quality content wins. Build powerful, interactive agents, and you’ll naturally gain traction. No need to chase social media algorithms.

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FDtmZwLatyyBFLUK6P6Pj%2Fuploads%2Fqo8bhZuyzVYErZ0mro9r%2FUSEv_iapeHj9zFzM.mp4?alt=media&token=83e7542d-b2b8-4545-a96c-3a23983e99dc>" %}
{% endstep %}

{% step %}
**Setting Up for Launch**

Before launching, you'll need to fill in some key details:\
🟣 Agent name & ticker (symbol)\
🟣 Description of your agent\
🟣 Raised token\
🟣 Category\
🟣 Start time

You’ll also configure important **tokenomics settings** that impact the bonding curve:\
🟣 Total supply\
🟣 Raised amount\
🟣 Priority purchase

Not sure where to start?

No worries—default settings are available for a smooth and easy launch!

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FDtmZwLatyyBFLUK6P6Pj%2Fuploads%2FT6faLUcq5ykLWdV0D15A%2FoAIz3s5d1tmH4b47.mp4?alt=media&token=ed265f80-25da-4d0e-bc33-903c54bc28b4>" %}
{% endstep %}

{% step %}
**Launching on DEX**

Just like AIpp Store, you can pre-purchase your own agent tokens before launch.

But here’s what’s new in Shell launchpad: Once your agent reaches its bonding curve limit, it automatically launches on DEX—no extra steps needed!

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FDtmZwLatyyBFLUK6P6Pj%2Fuploads%2FMpPRfP8Gz6alDCbfQTz1%2FmBbXefMDooVYxnQA.mp4?alt=media&token=3ee415ab-73a7-4dc0-b9ae-56d07c573988>" %}
{% endstep %}
{% endstepper %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

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

```
GET https://docs.myshell.ai/launchpad/how-to-launch-a-token.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.