Projects in ZlínProjects in ZlínTrustFlow — an AI scanner and marketplace safety layer for more trusted online transactions
Thanks to the Makeathon and the 10,000 Figma credits I received to continue developing the project, I was able to complete a second, significantly expanded version of the TrustFlow prototype.
The original idea was simple: build an AI tool that helps buyers check risky marketplace items before making a purchase. During the next iteration, the project evolved much further — from a simple AI scanner into a complete SaaS demo for protecting buyers, sellers, and marketplace platforms.
TrustFlow now demonstrates a full safety workflow:
• buyers can upload product photos, videos, or listing URLs
• AI scans the item, visual authenticity signals, seller risk, and suspicious patterns
• the system generates an evidence report with risk scores, AI confidence, and visual markers
• reports can be saved into an evidence vault, shared with sellers, or used during disputes
• sellers can provide missing documentation through a seller review portal
• marketplace operators can review suspicious cases in an admin dashboard
• AI can help create safer marketplace listings from scan evidence, including a product title, description, condition summary, price estimate, authenticity warning, and protected payment recommendation
• listings can include a TrustFlow Evidence Certificate with a clear Needs Review status, missing documentation, escrow recommendation, and a public verification link
A key part of TrustFlow is transparency. The system does not falsely claim that an item is automatically authentic. Instead of using unsafe language like “Certified Authentic,” TrustFlow uses an evidence-based approach: it shows what the AI detected, what documentation is missing, what the seller still needs to provide, and when protected checkout or escrow is recommended.
This new version of the prototype includes:
• a complete AI Product Scanner Demo
• a SaaS App Demo Shell with 6 areas: Scanner, Report, Vault, Seller Portal, Admin, and Billing
• an AI Verified Listing Builder for creating safer marketplace listings
• a TrustFlow Evidence Certificate with careful and transparent wording
• a Public Certificate Verification page with a QR/link preview, audit trail, and 30-day link validity
• a U.S.-style Marketplace Safety Controls strip inspired by seller transparency, review integrity, and buyer-safe disclosure patterns
• a Marketplace Plugin Preview showing how a TrustFlow badge could appear directly inside a marketplace listing
• demo-safe wording that avoids claims of certified authenticity, legal authentication, real escrow custody, live banking, or regulatory certification
TrustFlow addresses several real marketplace problems at once: counterfeit goods, risky sellers, scam messages, off-platform payments, missing documentation, unclear evidence during disputes, and lack of transparency between buyers, sellers, and platforms.
The goal was not just to create a polished landing page. The goal was to show how AI and Figma Make can help move an idea quickly toward a complete product prototype — from the first product scan to a shared evidence report, seller review workflow, and marketplace integration.
TrustFlow is built around one simple idea:
Every marketplace transaction should become safer before the buyer sends money.
Published prototype:
https://radio-ranch-95224118.figma.site ProofGuard AI – A Crypto Security Layer Against Scams
ProofGuard AI is a prototype of a crypto security tool built in Figma Make. The goal of the project is to act like an “Avast for crypto” — a protection layer that helps users understand whether a website, wallet address, token, smart contract, or transaction is risky before they connect a wallet or send crypto.
Today, many crypto users only see a wallet address, a token name, or a “Connect Wallet” prompt. In reality, they often do not understand what can happen after they approve the interaction: who they are giving permissions to, where their funds may move next, whether the contract is suspicious, whether the offer is a fake bonus, whether the website is a scam, or whether it could be part of a wallet-drain attack. This is the problem ProofGuard AI is designed to address.
The prototype shows how a modern crypto security application could work: it displays the risk before the user takes action, explains the main warning signals, and recommends whether the user should proceed, verify more information, or reject the interaction completely.
The prototype includes:
a scanner for suspicious crypto websites, wallet addresses, tokens, and smart contracts
dynamic risk evaluation based on the user’s input
a clear risk score and recommended action
a security report with evidence signals and an explanation of the result
demo Google sign-in
a user profile with security history
a protected wallet preview
the “Safe Wallet Guard” concept, designed to show where crypto may move before the user confirms a transaction
The core idea is simple: users should not approve crypto transactions blindly. ProofGuard AI is designed to help surface risk, context, and a possible flow of funds before the user clicks confirm.
This prototype was built directly in Figma Make as a functional competition demo. It uses local demo logic to simulate the behavior of a real SaaS product without connecting to a production blockchain backend. The goal is not only to present a polished landing page, but to show the direction of a product that could help protect users from crypto scams, fake investment offers, scam tokens, suspicious websites, and dangerous wallet permissions.
https://money-last-56707972.figma.site/
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