01. Open with the collector problem
Collectors on art markets face noisy discovery and weak due diligence. NFT Advisor turns that into a clear decision service.
Say: NFT Advisor helps collectors make better acquisition decisions on SuperRare. It watches the market, scores works, and turns those scores into action lanes.
02. Show system proof first
Use the homepage proof cards to show what is live, what is paid, and what is still deliberately limited.
Say: Before talking about AI, I show the proof: live SuperRare data, live actionable listings and auctions, wallet handoff, and an honest execution boundary.
03. Open the deal room
Move to the live SuperRare execution console and point at listings, auctions, and offer pressure from the public API.
Say: This is the core differentiation. The app is not only ranking art. It is converting live market objects into wallet-ready action intents.
04. Use the wallet handoff
Connect a browser wallet, switch to Ethereum, and sign the action intent for one live object.
Say: This makes the product more legitimate. The collector can approve a specific action payload directly in their wallet instead of just reading a memo.
05. Show collector fit
Open the for-you page and show that recommendations adapt to a collector profile rather than acting like a generic feed.
Say: This is important for art. The right answer is not only what is best overall, but what is best for this collector.
06. Show the service model
Open the Base USDC payment quote and premium memo flow.
Say: The product has a clean business model: premium collector intelligence sold as a Base service with explicit payment policy.
07. Close on machine-readable outputs
Show the execution JSON, MCP route, and receipts so operators see this is usable by downstream systems.
Say: The output is not trapped in a chat UI. Other agents can query it, reason over it, and carry the workflow forward.