3 minute read

[Written by GPT-4o] Yes, the idea of adding pre-trained agents (with the ability to train additional custom agents) tailored to specific roles like PM, researcher, coder, product manager, etc., is an excellent tangent to explore for the hackathon. Here’s why this could be impactful and how it aligns with the themes of the event:

Why Pre-Trained Agents for Specific Roles Work

  1. Personalized Assistance:
    • Pre-trained agents for specialized roles can simulate the team dynamic of a real-world hackathon.
    • For example:
      • Researcher Agent: Gathers insights, literature, and competitive analysis.
      • PM Agent: Outlines tasks, prioritizes features, and defines timelines.
      • Coder Agent: Generates code snippets, fixes bugs, or audits contracts.
      • Product Manager Agent: Suggests user stories, ensures alignment with the project’s goals, and manages scope.
  2. Aligns with AI Agent Innovation:
    • The hackathon is focused on “AI Agents on Ethereum” and exploring the intersection of AI and blockchains. Your project directly addresses this by demonstrating how AI agents can accelerate blockchain development, a core use case.
  3. Showcases RAG and Contextual Intelligence:
    • With ETH0’s RAG-powered capabilities, these agents would leverage the latest Ethereum bounties, research, and documentation to generate ideas and offer solutions with up-to-date context.
    • Example: The PM agent could pull ETHGlobal bounty data and create feature roadmaps aligned with the bounties’ goals.
  4. Competitive Edge:
    • Most AI agent implementations at the hackathon are likely to be chat-focused or single-purpose. Having multi-role agents collaborating within your platform offers a unique, tangible differentiation.

Proposed MVP for Hackathon

Features to Add for ETH0

  1. Agent Role Selection:
    • Allow users to pick pre-trained agents for:
      • Research
      • Coding
      • Project Management
      • Product Ideation
    • Each agent has specific skills and focuses on its domain.
  2. Agent Collaboration:
    • Enable multiple agents to collaborate in the same session (like a virtual team). For instance:
      • The Researcher gathers relevant papers and projects.
      • The Coder uses that data to generate a Solidity contract or boilerplate.
      • The PM ensures timelines align with the hackathon duration.
  3. Custom Agent Training:
    • Let users create and train their own agents by feeding:
      • Custom RAG datasets.
      • Specific Ethereum projects or goals.
      • Training prompts for the agent to learn how to respond effectively.
  4. Agent-Oriented UI/UX:
    • Integrate the agents into ETH0’s web-based code editor or a collaborative chat interface.
    • Use a side panel for the agents to display their tasks and outputs (similar to GitHub Copilot’s inline suggestions or Cursor’s right panel).

How This Ties into the Hackathon Themes

Foundational Concepts:

  • Showcase AI-Blockchain Intersection:
    • Highlight how agents understand decentralized principles and Ethereum-specific development nuances.

AI Agents on Ethereum:

  • Pre-trained and Customizable Agents:
    • Let participants train their own agents (e.g., for ZK-proofs or NFT standards) on Ethereum-specific tasks.

Decentralized AI Marketplaces:

  • Agent Sharing:
    • Introduce a feature where users can share pre-trained agents or RAG datasets in a marketplace.
    • Incentivize contributions with token rewards.

Smart Contracts and AI:

  • Agent-Aided Coding:
    • Use the Coder Agent to suggest Solidity smart contracts, run security audits, and simulate interactions.

Future of Work:

  • Autonomous Teams:
    • Demonstrate how these agents can replace human team members for repetitive or tedious tasks, making hackathon participation more inclusive and accessible.

Steps to Implement Before Hackathon

  1. Build Pre-Trained Agent Framework:
    • Define each agent’s role with specific behaviors and prompts.
    • Example:
      • PM Agent Prompt:
        • “Based on the following ETHGlobal bounty and requirements, create a timeline for MVP development. Include key milestones.”
      • Coder Agent Prompt:
        • “Using the Ethereum documentation and provided requirements, generate a Solidity smart contract for the following use case.”
  2. Agent Collaboration:
    • Use a multi-agent coordination framework (e.g., LangChain’s agents or a custom script) to enable communication between agents.
  3. UI Integration:
    • Add a team dashboard in ETH0 where users can see agent roles, chat with them, and combine their outputs.
  4. Custom Training Pipeline:
    • Build a pipeline where users can upload custom data to train agents using your existing RAG setup.
  5. Demo Projects:
    • Prepare a few working examples to showcase during the hackathon, such as:
      • A full-fledged bounty solution designed by ETH0’s agents.
      • A deployed smart contract reviewed and audited by the Coder Agent.

Long-Term Potential

  • Post-hackathon, ETH0 could evolve into a web3-focused Replit with embedded agents for collaborative blockchain development.
  • The marketplace for custom agents and RAG datasets could become a unique monetization model.
  • With further decentralization, ETH0 could offer on-chain governance for shared agent models, making it a true community-driven platform.

Summary

This is an excellent direction for the hackathon. It aligns with the theme, showcases ETH0’s strengths, and sets you apart from competitors. You’re not only addressing hackathon-specific needs but also creating a foundation for future growth in decentralized AI-powered development.