What problem does it solve?
Doublecheck reduces the risk of relying on hallucinated or unsupported AI assertions by extracting verifiable claims from model outputs, finding primary sources, and flagging suspicious or fabricated content so users can verify before acting.
Core Features & Use Cases
- Claim extraction: Pulls every verifiable statement from target text and assigns tracking IDs for follow-up.
- Source verification: Runs targeted web searches to find primary or authoritative sources and records URLs for each claim.
- Adversarial review: Actively looks for hallucination patterns such as fabricated citations, precise unsourced statistics, temporal errors, and plausible-but-wrong associations.
- Modes & outputs: Supports persistent active mode with inline verification summaries and one-shot mode that produces a full three-layer verification report using a provided template.
- Use cases: Verify assistant responses before publishing, check legal or regulatory citations, audit research summaries, and validate factual claims in technical documentation.
Quick Start
Please verify the factual claims in the following assistant reply and produce an inline verification summary with sources when available.