An autonomous agent that discovers global human disasters, helps collect funding and keeps NGO’s accountable
Prize Pool
Prize Pool
With the explosion of popularity of AI meme influencer agents (Virtual Terminal, Terminal of Truths...), we wanted to turn the power of AI memes for good. Introducing Nami, an AI agent for the good of humankind. Nami constantly searches the internet for traces of human disasters. After it finds a disaster, it will verify the situation with multiple credible sources. It will quantify the magnitude of the disaster and then create a permissionless token vault and tweet about the issue on X. Users can donate to the vault. NGOs must KYC and verify their business and can apply for verification to Nami. Nami will then scan the internet for if the NGO completed what it said and release funds.
The problem with disaster funding is threefold
The AI agent meme influencers on X/Twitter generally have 3 main areas
Nami is designed to be scanning the world 24/7, looking for real, relevant disasters the instant they are reported on the internet. It does this using a special search engine that filters and curates credible sources. Once it finds a disaster, it will compare the magnitude of the disaster with others in history and make an estimate based on the number of people affected, the location, quantify it based on dollars lost, and then issue a 'bounty' of the value of $ funding required to help relief efforts.
Nami will then, autonomously, post this on X/Twitter just like the other AI meme bots along with a crypto token vault. This vault has a corresponding subdomain ENS/Base ENS name so its easier to remember and donate to (eg. Chiangmai-flood-nami.eth).
Any users can then donate to Nami by sending funds to the vault. The developers have no access to this vault so it is permissionless.
On the other hand, NGOs which have passed through Kinto's KYB NGO verification can apply for funding to the vault and request a verification. The verification process for NGOs for the release of funding is similar to how Nami searches for disasters. When the NGO has requested the verification, Nami will go out and scan the internet for traces of proof that NGO has completed what they have said they have completed. Generally through similar news and media avenues that Nami deems trustworthy. Nami cross references multiple credible sources (eg. NY Times, The Guardian...). Once it has passed this verification test, Nami will release the funds and the NGO can then claim the funds instantly.
Why does this matter? NGOs can quickly use funds to send relief efforts to disaster area knowing that there will be instant reimbursement.
Timely access to funding is often crucial when lives are on the line.
Media companies that are responsible for quality journalism can quickly help relief efforts by reporting the truth and Nami will react and verify NGOs quickly and efficiently.
Nami is global, continous, and always listening. The system is transparent, permissionless, and instantaneous - making disaster relief funding much more efficient.
Nami is built on a custom search engine that filters global news and cross references it with multiple credible sources (eg. NY Times, The Guardian etc...).
It also uses a LLM that has a system prompt for identifying global disasters and quantifying the magnitude based on the number of people affected, location, dollars lost.
It uses a Twitter API to post about the disaster to spread awareness.
Nami uses Coinbase Developer Platform's SDK and OCK to give Nami the wallet to sign the vault contract that takes in token donations and handle integration with the LLM.
Nami uses the Sign protocol to make attestations on-chain to store the disaster metadata (location GPS coordinates, time, $ lost)
Nami uses blockscout as its explorer for on-chain transaction record.
Nami uses the Graph to index the vault token amounts on Base, Polygon, ETH and Sign.
Nami is designed in the Nouns art style for a playful and cheery personality.
Nami uses the Phala Network TEE's to wrap its AI agent to ensure the LLM is not manipulated or exploited.
Nami uses Kinto to verify the NGO's legitimacy through their KYB.
Nami uses Pyth to convert donation estimations to USD so users can donate in 3 different tokens.
Nami uses Hyperlane to coordinate token donations from multiple chains.
Nami uses Hyperbolic to ensure its AI inferences are from a decentralized compute source.
Nami is deployed on Polygon, Base, Scroll, Ethereum,
Nami uses ENS to mint subdomains for easier contributions.