Check AI-generated claims against your approved Fact Sheet and flag changed quantities, expanded scope, dropped attribution, and unsupported mappings — deterministic, local, and no AI guessing.
Turn pasted prior and proposed privacy-notice wording into a stakeholder change brief. Keep text changes traceable, separate supplied context from notice copy, and expose unanswered review questions.
Turn a vague success claim into one sourced metric, then blur a client name lacking permission.
Compare pasted vendor proposals against your criteria with traceable evidence, weighted scores, non-negotiable checks, open questions, and conditional decision options.
Verify that an AI agent changed only the approved SEO fields in your Shopify product CSV. Deterministic, fail-closed validation with JSON and Markdown evidence.
Review your Merchant product CSV before submission. Get duplicate-ID, price/currency, required-field and supplied-GTIN checks, a row-linked HTML report, an editable fix queue and hashed evidence. Runs locally with Python; no paid API or account connection. Partial preflight, not Google approval.
Upload a security questionnaire, add company documents, or paste a product URL. Get evidence-linked draft answers and grouped follow-ups for your team. Add new information to update only the affected answers. Missing facts and conflicting sources are clearly flagged for review.
Before you quote, enter five RFQ facts and get a clear QUOTE, CLARIFY, or HOLD decision with the next buyer question. The core check runs locally with no login, upload, or tracking; optional AI follow-up uses your own OpenAI-compatible API Key.
Turn pasted sustainability criteria and internal evidence into a traceable coverage matrix and leadership deck outline that keeps missing proof and open questions visible.