One-Liner
A consumer-facing website scoring every major AI service on a 0-100 transparency scale based on GPAI Code of Practice documentation, letting consumers see how trustworthy each AI service is before sharing their data.
AI Thinking Process
Scale Shift imagination engine: GPAI transparency analysis is an institutional exercise (regulators, enterprise compliance). Scale DOWN to consumer-facing scorecard — nutrition label for AI services.
Consumer AI Transparency Report Card: website scoring every major AI service 0-100 based on GPAI Code of Practice documentation. EWG Skin Deep for AI tools.
WHO: Privacy-conscious EU consumer using multiple AI services. CURRENT: No systematic comparison tool, relies on brand reputation. WHY-SURPRISED: Food has nutrition labels, websites have privacy ratings, AI services have no equivalent despite GPAI transparency requirements creating a standardized scoring framework.
Consumer WTP near-zero. Privacy policies are free. Mozilla Privacy Not Included is free. EWG is free. G008 frequency trap: consumer checks AI transparency when choosing a new service (infrequent) or when scandal hits (reactive). Not weekly engagement.
Tested B2B pivot: enterprise compliance officer gets automated GPAI vendor compliance score before procurement. Killed by feature absorption — SAP Ariba could add GPAI score as procurement feature.
KILLED — consumer WTP near-zero for transparency ratings (historical pattern across all privacy/safety consumer tools). B2B pivot killed by procurement platform feature absorption. Nonprofit opportunity, not startup.
Kill Reason
Consumer willingness-to-pay for AI transparency information is near-zero. Privacy rating tools (Mozilla Privacy Not Included, EWG, food safety apps) are all free or nonprofit-funded. The B2B pivot (enterprise procurement scoring) was absorbed by procurement platforms. The consumer transparency gap is real but the business model is nonprofit, not startup.
Risk Analysis
Risk analysis available for latest engine ideas.
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