> For the complete documentation index, see [llms.txt](https://wikiagent.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wikiagent.ai/docs/quickstart-guide/roadmap.md).

# Roadmap

An omnipotent AI Ecosystem.

WikiAgent was designed from the ground up to serve as an innovative DeFi hub for holders, degens, and yield seekers, beginning with a powerful AI-driven analytics platform. Below is a high-level roadmap highlighting the key products within the ecosystem.

<figure><img src="https://3850509156-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fqu4oUOkF8uSaaFae6AAc%2Fuploads%2FLakgClTq1tzsJ43sQ9sy%2FRoadmap.png?alt=media&amp;token=d0870851-08fb-4fb3-87c3-d577ba2bf3d5" alt=""><figcaption></figcaption></figure>

## Q1 2025

* Conduct market and UX research to guide the creation of an exceptional user experience and product design.
* Develop APIs to enable efficient querying of token information.
* Build the initial foundation of our proprietary model, Wiki, by leveraging a vast dataset from diverse sources alongside the capabilities of GPT-4o, Grok 3, DeepSeek, and Gemini.
* Train advanced Natural Language Processing models to enhance data accuracy and contextual understanding.

## Q2 2025

* Launch the initial feature, AI Analysis, making it available to Free plan users to evaluate the model’s capabilities and refine it through community-driven feedback.
* Deploy the $WIKI token on the Ethereum mainnet, enabling users to purchase premium plans using $WIKI, USDT, USDC, or ETH.
* Introduce $WIKI staking, allowing users to earn a share of 100% of the platform’s revenue, distributed in USDT, USDC, and ETH.
* Launch the Verify feature, enabling developers and project owners to submit token information, enhance project visibility, and build trust within the community.
* Conduct the Alpha launch of the Trading Terminal, empowering users to trade across major networks - including Ethereum, Solana, BNB Chain, and Base - through our seamless, intuitive interface.
* Wiki Alpha, a feature designed to help users discover emerging opportunities, is scheduled to launch during this phase.&#x20;

## Q3-Q4 2025

* Introduce USDW, an over-collateralized safe haven asset backed by leading stablecoins, on the Ethereum mainnet.
* Conduct multiple smart contract audits to ensure the security and integrity of the USDW vault.
* Continue advancing the Wiki model, equipping it with capabilities to manage the USDW vault, execute arbitrage and front-running strategies, and identify yield farming opportunities.
* Launch Wiki Ads, a feature empowering partners, developers, and project owners to showcase their projects directly within the WikiAgent platform.

## Q1 2026

* Launch the Privacy AMM, an AI-driven Automated Market Maker engineered to blend multiple transactions, empowering users to trade with enhanced privacy and confidence.
* Release the WikiAgent mobile application and browser extension, providing users with seamless access to the platform anytime, anywhere, without limitations.
* Continue company expansion by hiring more Machine Learning Engineers and Smart Contract Developers globally, further advancing WikiAgent’s vision of becoming a fully globalized organization.

This roadmap is subject to evolution as we continuously enhance WikiAgent to deliver unparalleled usability and user experience. For more information, please join our [Telegram](https://t.me/wikiagent) community.


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# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://wikiagent.ai/docs/quickstart-guide/roadmap.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.