Build autonomous agents (or an interface to deploy them) and explore their on-chain interaction. AI economy won’t use banks, and there’s an opportunity to rebuild the whole financial industry for the AI-powered world

Intelligent intents

Natural language or voice-enabled intents that allow users to simply chat with the wallet and have their task decomposed and executed by the solvers.

AI-enabled governance

AI co-pilot that helps DAO members summarize discussions and mediate deliberations. AI as an impartial facilitator can help members of digital organizations to build consensus and resolve issues faster and more efficiently.

Fake content detection and validation

The cost of generating fake text, images, video, and voice is dropping, making this problem more acute than rogue AGI. Cryptographic content authentication and decentralized creator reputation can help solve this problem globally.

On-chain Quant and AI-enabled DeFi

Leverage ML models for price, volatility, risk and liquidity prediction to build automated strategies that work autonomously and on-chain.

AI Explorer

Use LLMs to help users better understand what’s happening on-chain by adding AI capabilities to blockchain explorers.

‍ Leverage ML models to solve problems of content moderation, targeting, and personalization in Web3 social.

Web3 Gaming

Build a new type of generative on-chain or Web2.5 games with AI acting as a storyteller, NPC, and a generative environment that is unique and personalized for each player.

Web3 Content

Help users, builders, and investors navigate the complex world of Web3 by building generative content, such as summaries of podcasts and research articles, or content modality conversions (e.g., convert Vitalik's latest post into a podcast or YouTube video).

Security

Use AI to help users better understand the security implications of various Web3 tools and protocols. Help developers to navigate the complex Web3 security landscape and automate auditing.

On-chain AI characters

Build dynamic and generative characters that live on the blockchain for people to own or interact with for fun and profit.

Multi-Agent Systems

Connect multiple models using on-chain infrastructure to enable multi-agent interaction, reduce hallucinations and ensure verifiability of the results.

Self-sovereign AI

Enable people, communities, and organizations to build, train, and run inferences on sovereign AI models with private data. ‍

Decentralized marketplaces

Open crypto-powered marketplace of models, datasets, evals, and compute for AI development. ‍

Data provenance

Help users get paid for curating and selling data to train AI models. Ensure copyright compliance via on-chain or cryptographic data provenance. ‍

Data banks

All you need is data. Build systems for collaborative and crowdsourced curation of RAG datasets, data labeling, and synthetic data generation, so that the whole world can participate in and earn from training better AI models. ‍

Governance of AI models

Build DAO tooling for training and fine-tuning of new and better models. ‍

Funding AI

Leverage crypto's amazing ability to fund, tokenize, and rally people around strong ideas to fund the next generation of AI. Tokenize AI models. ‍

Decentralized evaluation and benchmarking

Build a decentralized and open version of ML benchmarks. Or add economic incentives for people to thoroughly test and evaluate models to produce objective scores. ‍

Decentralized AI research and development

Help ML researchers and engineers to contribute to open source models and projects and get paid via programmable crypto incentives.

Judging criteria

Technical excellence – How smoothly everything works
UX and design – How great everything feels
Potential impact – How it is going to make the world a better place
Wow factor – How it would become the next big thing
Business model – How it would generate ROI

dAGI House – AI x Web3 Hackathon