# Roadmap

**Phase 1: Foundation & Launch**

* Launch Niconico.ai with a minimal, easy-to-use interface for exploring the Solana blockchain.
* Conduct the **$NICO presale** and ensure fair distribution.
* Release the **1,000,000 $NICO Zealy airdrop** to early supporters.
* Establish strong community engagement through Zealy, X, and other platforms.

**Phase 2: AI Model Enhancements & Utility Expansion**

* **Improve our AI model** for more accurate and efficient blockchain interactions.
* Further **integrate DeepSeek** to enable AI-driven execution of blockchain tasks such as:
  * **Initiating airdrops**
  * **Cross-chain swaps**
  * **OTC trades**
  * **Smart contract interactions**
* Expand support for more Solana tools and DeFi applications.

**Phase 3: Marketing & Ecosystem Growth**

* Scale up **$NICO marketing campaigns** to attract retail investors.
* Form strategic partnerships within the Solana and broader crypto ecosystem.
* Introduce staking and governance features for $NICO holders.

**Phase 4: AI Blockchain Language Model (BLM) Development**

* Begin research and development on our own **AI Blockchain Language Model (BLM)** to power next-gen blockchain automation.
* Train the model to improve blockchain-specific problem-solving and execution capabilities.
* Explore potential applications for BLM in DeFi, security audits, and automated trading.

**Phase 5: Long-Term Vision & Expansion**

* Expand Niconico.ai beyond Solana to support **multi-chain AI operations**.
* Introduce **AI-driven on-chain analytics** and risk assessment tools.
* Strengthen $NICO’s utility within the broader Web3 ecosystem.


---

# Agent Instructions: 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.niconico.ai/roadmap.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.