ClaimCheck — Fact-check AI answers in fields you don't know

Turn AI answers in unfamiliar domains into a sourced, verifiable, confidence-tagged checklist

Problem

Developers building sites and apps ask AI about marketing, SEO, and other fields they don't know — and have no way to judge whether the answer is right, while verifying it manually is slow. The poster's dilemma is typical: in their own domain they can spot hallucinations instantly, but outside it they can only trust blindly or keep asking follow-ups. Neither is good use of time.

Solution

A browser-side tool that breaks an AI answer into independently checkable claims, finds sources for each one (official docs, standards, reputable forums), and labels them verified, contradicted, or unverifiable. For high-risk domains like marketing, SEO, legal, and finance, it flags where extra caution is warranted. Users export a cited checklist to revisit later.

Users

Indie developers, founders, non-technical product and ops people — anyone leaning on AI for cross-domain advice

MVP

Claim decomposition plus per-claim source lookup; paste text or capture from common AI chat UIs; output a checklist with source links and confidence tags; high-risk domain warnings; local history of past checks

Revenue

Free tier plus subscription by number of checks; team plan with a shared verification library and domain-risk rules; affiliate integrations with knowledge management tools

Why now

AI has become the default entry point for cross-domain questions, but hallucinations and stale answers remain common, and big model vendors have little incentive to teach users to doubt their own output. Claim extraction plus search is well within reach of a solo dev layering on small models and search APIs