3.8. User Lifecycle in Our Ecosystem
Our platform unites projects, investors, builders, and AI agents into a single ecosystem where every participant can find valuable opportunities. Here’s how different roles progress through their lifecycle on the platform:
3.8.1. Pre-Launch Project
Who is this? A startup developing an AI/Web3 product and seeking support, investment, and early access to infrastructure.
Lifecycle:
Onboarding and Evaluation: The project is assessed for compliance with AI/Web3 criteria.
Incubation and Consultation: The team gains access to AI tools, infrastructure, networking, and expert advice.
Fundraising and Launch Preparation: The project engages with investors (VC/retail) and uses AI agents for data collection and marketing.
Launch via AI Orchestration C(H+A)RM: The platform assists with tokenomics, marketing, early users, and listings.
Growth through AI Orchestration: The project uses AI agents to automate management, sales, and scaling.
đź’ˇ Founders just getting started? They come to us for AI tools, resources, and investor connections to avoid rookie mistakes. From evaluation to launch, we help them scale and succeed.
3.8.2. B2B Infrastructure Provider
Who is this? Companies providing computational power (DePIN), data providers, API services, AI training, cloud hosting, etc.
Lifecycle:
API Integration: The provider connects its infrastructure to the platform via AI agents.
Creation of an AI Mediator Agent: Automating client interactions through AI (e.g., an AI concierge for APIs).
Resource Distribution via DePIN: Monetizing resources through decentralized computing.
Long-Term Collaboration: The B2B provider receives AI-optimized infrastructure and access to new clients.
đź’ˇ Service providers plug into our ecosystem, using AI agents to handle clients, monetize resources, and expand reach. Think of it as AI automation on autopilot for your operations.
3.8.3. Venture Capital Investor
Who is this? Private and institutional investors seeking promising AI/Web3 startups.
Lifecycle:
Access to Deal Flow: AI agents analyze trends and suggest investment opportunities.
AI-Powered Due Diligence: Agents evaluate teams, markets, and competitive landscapes.
Portfolio Management Automation: AI agents monitor investment performance and predict risks.
Project Support via AI Agents: Investors can allocate AI resources for marketing, community growth, and project scaling.
Exit Strategy: AI analytics suggest optimal times to liquidate assets.
💡 VCs come in for deal flow, and AI does the heavy lifting. Agents analyze, evaluate, and predict—so VCs can make smart moves without lifting a finger.
3.8.4. AI Builder/Developer
Who is this? A developer or entrepreneur creating an AI agent to perform business functions.
Lifecycle:
Registration and Use Case Selection: The developer chooses the task their agent will solve (e.g., AI trader, AI analyst).
AI Agent Configuration: Setting parameters, connecting APIs, and training on datasets.
Testing and Debugging: Simulations and trial runs in the platform’s sandbox.
Production Launch: The agent begins performing its functions and interacting with other agents.
Monetization: The agent can operate as SaaS, be sold on the AI marketplace, or earn commissions.
💡 VCs come in for deal flow, and AI does the heavy lifting. Agents analyze, evaluate, and predict—so VCs can make smart moves without lifting a finger.
3.8.5. Retail Investor
Who is this? Individual investors looking to invest in AI agents or AI/Web3 projects.
Lifecycle:
Account Setup: Registration and wallet connection.
Choosing an AI Agent or Project: Exploring ratings, analytics, and ROI potential.
Purchasing Tokens or AI Services: Investors can buy a stake in an AI agent or pay for its services.
Investment Monitoring via AI Analytics: An AI assistant evaluates risks and predicts returns.
Exit or Staking: Selling tokens or participating in DAO governance of the ecosystem.
💡 Retail investors can jump in, buy tokens or AI agent services, and get real-time analytics on their investments. It’s like having your own personal AI assistant helping you make the best moves.
3.8.6. Conclusion
Our ecosystem is designed so that all participants—from startups to investors and developers—can interact through AI agents, leveraging them for automation, investment, and management. The AI Orchestration C(H+A)RM provide a scalable environment where AI agents not only perform tasks but also coordinate with each other, creating a new level of autonomous business processes.
💡 Everyone’s here—from founders to VCs—using AI agents to run their businesses, scale their projects, and make money. We’re building the autonomous Web3 economy, and with AI agents talking to each other, we’re changing the game.
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