# Roadmap

**Q4 2024**

* Launch of Agentlauncher Marketplace+ and Strategic Alignment
  * Rebranding Kick-Off: Adding Agentlauncher to the CV PAD ecosystem, emphasizing its vision as a cutting-edge launchpad for AI-driven crypto projects.
* Value Proposition Development:
  * Launchpad Excellence: Continuing CV PAD as a top-tier hub for Web3 & AI crypto project launches.
  * Partnership Outreach: Expanding partnerships with blockchain networks, AI projects, and market leaders.

**Q1 2025**

* Agentlauncher Launch
  * Officially launch of Agentlauncher, showcasing its synergies for $CVAI.
  * Release of Launchy, the first AI agent
* Project Onboarding and Community Growth
  * First AI Project Sprint on CV Pad: High-quality AI crypto startups with robust use cases.
  * Educational Initiatives: Webinars, tutorials, and guides on Web3, AI, and crypto trends.
  * Community Incentives: Reward programs for early adopters, encouraging active engagement.

**Q2 2025**

* Scaling Platform Capabilities
  * Enhanced Automation Features: Fine-tune deal criteria (e.g., project category, investment size, risk level).
  * AI Insights Evolution: Sentiment analysis and competitor benchmarking for projects.
  * User-Centric AI Tools: Test AI agent deal participation features.
* Ecosystem Expansion
  * Multi-chain support for additional L1/L2 launches.
  * AI-driven collaborations with crypto AI agent ecosystems.

**Q3 2025**

* Advanced User Features Rollout
  * AI Agent Portfolio Analytics: Track performance, ROI, and potential exits.
  * AI-Driven Diversification: Automated investment distribution across vetted projects.
  * Real-Time Project Tracking: AI-powered buy/sell recommendations and milestone tracking.

**Q4 2025**

* AI Crypto Accelerator Program
  * Launch an in-house accelerator for early-stage AI crypto startups, offering funding, mentorship, and technical guidance.
  * Enable users to create their own AI agents and tokens on the platform.

**Looking ahead into 2026**

* Creation of own agents and their tokens
* Various other ai agent implementations


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# 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.agentlauncher.io/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.