> For the complete documentation index, see [llms.txt](https://docs.awenetwork.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.awenetwork.ai/clique-l3-on-base/scaling-onchain-gaming.md).

# Scaling Onchain Gaming

**Converging AI and Blockchain in Gaming**

At the forefront of the next era of gaming, the convergence of Onchain gaming and artificial intelligence (AI) emerges as a catalyst for revolutionizing the gaming industry. Imagine immersive worlds where non-player characters (NPCs) are imbued with intelligence and agency, capable of making independent decisions and shaping the narrative in unpredictable ways.&#x20;

Realistic simulation is finally immersive enough to nurture relationships with NPCs in “[Today the Game](https://twitter.com/todaythegame)” or create your never underwhelming best friend in “[Palio](https://twitter.com/PalioAI)”, reminiscent of our childhood fantasies of playing “The Sims.” The fusion of Onchain AI opens limitless doors to emergent storytelling, dynamic gameplay, and a level of immersion that rivals realism. If bigger stakes and competition are preferred, one can test their resolve in the recently launched “[Parallel Colony](https://twitter.com/ParallelColony)”’s never-ending generated survival simulation or “[Overworld”](https://twitter.com/OverworldPlay)‘s autonomous decision-making adventure game. The most popular and anticipated upcoming games use the terms “simulation” and “choices”, which are only technically possible through the implementation of AI and autonomous agents.&#x20;

**To this end, STP is launching Clique a Layer 3 on Base to pioneer the advancement of AI in gaming.** Clique's extremely low transaction fees and data availability costs unlock a realm of AI enhanced possibilities, enabling complex onchain interactions, computations, and the introduction of autonomous onchain agents within gaming environments. Immutable game states and provable randomness further solidify the integrity and fairness of these virtual realms, fostering trust and transparency.

![](https://content.gitbook.com/content/KPzJzyJFmAFMJBOSKIiV/blobs/Xxx2IhQwwSaCXHo932UI/image.png)


---

# 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, and the optional `goal` query parameter:

```
GET https://docs.awenetwork.ai/clique-l3-on-base/scaling-onchain-gaming.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
