Trust & accuracy
Guides on trusting AI output - why summaries hallucinate, how to verify claims against the source, and whether your documents are safe to upload.
6 guides
How to Chat With Your Documents (Without the Hallucinations)
Why generic chatbots invent answers about your files, how grounding and retrieval actually work, and a document chat workflow where every claim is checkable.
Read the guideHow to Make AI Answer Only From Your Own Documents
How to make AI answer only from your own documents - grounding every answer in your files so unsupported claims get dropped instead of guessed.
Read the guideAI That Doesn't Hallucinate: How Source-Grounding Works (2026)
Why LLMs invent facts, and the source-grounding mechanism that catches it - retrieval, exact-passage citations, and dropping unsupported claims.
Read the guideIs It Safe to Upload Documents to AI? What to Check
Before you upload a document to an AI tool, check these five things - data retention, model training, access scope, security, and whether you need to upload at all.
Read the guideHow to Get AI to Cite Its Sources (and Verify Them)
Most AI tools fake or omit citations. Here's how to make AI cite the exact passage it used - and how to check the citation is real before you trust it.
Read the guideDo AI Summaries Hallucinate? How to Stop It
Yes - AI summaries hallucinate because the model predicts plausible text, not grounded fact. Here's why it happens and how to stop it with citation-checking.
Read the guideStop digging. Start asking.
Add Sidenote to your browser, open any page in your wiki, and ask it the question you’ve been Slacking the team about.
7-day Pro trial · No card required · Free plan forever