Claude Accuracy: How to Reduce Errors in Long Documents
Anthropic documents context rot, sentence-level citations and a quote-first pattern, and publishes no error rate. Four reasons long documents go wrong and six documented controls.
Anthropic documents context rot, sentence-level citations and a quote-first pattern, and publishes no error rate. Four reasons long documents go wrong and six documented controls.
Ten claims a model puts in ad copy, each matched to the FTC rule, CAP Code clause or platform policy it breaks — three false however you word them, seven lawful only with evidence.
Eight questions for an AI vendor, what a real answer sounds like and what a deflection sounds like, grounded in NIST measurement and EU AI Act duties.
Discover how AI-driven tools are transforming business continuity planning. Learn to predict disruptions and restore operations faster. Read our guide here.
Microsoft publishes no accuracy figure for Copilot over work files. It does document permissions, indexing and long-document limits, and each one is a way an answer goes wrong.
Google says AI Overviews can and will make mistakes. What its own documentation names as failure modes, what a 98,020-claim study measured, and the routes a business actually has.
Ten fixes drawn from Google's own Gemini documentation - five in the Gemini app, five in the API - plus the three problems no setting or prompt can fix.
Why AI-drafted emails state prices, deadlines, integrations and testimonials that are not true, the US and UK rules they break, and seven fixes that stop them before send.
Knowledge cutoffs, uneven training data and search the model chooses not to run. What the provider docs and research say, and six habits that make current answers more likely.