Official VeriClaw · Hallucination Correction / Verification Skill / AI幻觉纠偏v0.1.27

In a business that uses LLMs to generate analytical reports, VeriClaw can be used to verify that all claims in the report are backed by observable evidence such as data sources, calculations, or references. This ensures report accuracy before delivery to clients.

After an AI coding assistant claims to have completed a feature or fix, VeriClaw helps verify that the output actually exists—such as checking for new code commits, test passes, or updated documentation. This prevents fake completions from being accepted as done.

When an AI system suggests a diagnosis or treatment plan, VeriClaw can enforce evidence-first review by comparing the AI's claims against patient records, lab results, and clinical guidelines. This reduces hallucination risk in medical decision support.

Law firms using AI to draft contracts or legal briefs can apply VeriClaw to verify that all cited cases, statutes, and clauses exist as referenced. The skill ensures that no hallucinated legal authority is included in final documents.

AI-powered customer support agents often claim to have resolved tickets. VeriClaw can audit these claims by requiring proof such as updated ticket status, customer confirmation, or knowledge base entries before closing the ticket.

Offer VeriClaw as a monthly or annual subscription to enterprises that need to regularly audit AI outputs. Revenue comes from tiered pricing based on the number of AI agents or workflows monitored.

Integrate VeriClaw as a plugin within existing AI agent platforms (e.g., OpenClaw) and charge per verification request or as a premium feature. Revenue is generated through transaction fees or platform revenue sharing.

Provide professional services to customize VeriClaw for specific industry workflows (e.g., healthcare, legal) and train teams. Revenue includes upfront integration fees and ongoing support contracts.