Example: Fortune Teller
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To showcase how AI Oracle can enhance consumer-facing products, we introduce .
Fortune Teller leverages the NestedInference smart contract, as discussed in the . This application aims to onboard new users to Web3 and demonstrate the capabilities of .
User Interaction: The application prompts users to answer specific questions posed by the Magic Wizard.
Fortune Telling: The Wizard casts its spells by requesting inferences from AI Oracle.
Response Generation: The Llama3 model generates a textual response, which is then used as a prompt for image creation via StableDiffusion.
NFT Minting: Users can mint AI-generated NFTs if they are satisfied with their fortune image.
The image on the right represents user's fortune result generated by AI Oracle:
Objective AI-Generated Insights: AI provides neutral and unbiased outputs, ensuring a fair experience across diverse use cases.
Immutable Onchain Data: Information generated is securely stored on the blockchain, making it tamper-proof and easily verifiable.
Transparent Data Generation: Utilizing opML, the entire generation process is transparent, fostering trust in the system across different applications.
Text: Generated by Llama3 ()
Image: Generated by Stable Diffusion v3 ()
💡 If you're interested in creating your own frame, check out our repository. This template can help you bootstrap your application, but you'll need to modify it based on your specific use case.
We encourage you to develop your own applications. Explore ideas in the repository, whether it’s a Farcaster frame, a Telegram mini app, or any other client application that interacts with AI Oracle.
