> For the complete documentation index, see [llms.txt](https://provenance-ai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://provenance-ai.gitbook.io/docs/whitepaper/solution.md).

# Solution

Provenance AI delivers a scalable trust layer by combining AI-driven fact-checking with blockchain-based transparency. From real-time verification on social platforms to enterprise-grade dashboards, every claim is backed by evidence, anchored on-chain, and reinforced by human oversight. Below are some of the strategies in our roadmap:<br>

* On Twitter/X: Users tag @0xProvenance (AI Agent) with a claim or link → AI triages, retrieves evidence, evaluates, and replies with a verdict + citations.
* Provenance Portal (provenance.technology): A standalone verification tool for direct claim submissions, organizational dashboards, and appeal/dispute flows.
* On-chain Attestations: Each verdict is anchored on the Provenance Chain (L2 blockchain) with claim hash, evidence references, model version, and timestamp.

Human-in-the-loop: Sensitive claims and disputes involve validators (journalists, academics, experts). AI can make mistakes, and it needs feedback.