How to Summarize a Document With AI Without Losing Important Details
Summarize documents with a clear scope, a source-linked checklist and manual checks for omissions, numbers, scanned text and visual details.
Discoverlaw AIKaGyan Editorial Team
Chatbot, Search Engine or Calculator? Choosing the Right Tool
Choose between a chatbot, search engine and calculator by matching the task to the tool and checking facts, sources and calculations.
AI Terms Explained: Models, Apps, Browsing, Memory and Context
Understand the differences between AI models, apps, browsing, memory and context, and check which features apply to your exact account.
How to Evaluate an AI Tool Before Paying for It
A practical worksheet for comparing AI tools by task fit, accuracy, privacy, usage limits, accessibility, exports and billing terms.
What Not to Paste Into an AI Chatbot: A Privacy Checklist
A practical checklist for removing passwords, identifiers and confidential material before using an AI chatbot, with fictional placeholders and checks for account privacy controls.
How to Check an AI-Generated Spreadsheet Formula Before Using It
Quick answer Test an AI-generated formula in a separate spreadsheet using fictional data. Write down the expected answers yourself, then compare them with the formula’s results.…
Use AI as a Study Partner, Not an Answer Machine
Quick answer: Use AI to ask questions, offer small hints and create practice—not to complete the thinking for you. Check your course rules first, attempt each…
How to Check an AI Answer’s Sources Before You Trust It
Quick answer Check two things separately: Does the cited source exist, and does it support the exact claim? Open the original page, confirm its title, author…
A Beginner’s Prompt Template: Task, Context, Constraints and Output
Quick answer: To write a clearer AI prompt, state the task, provide relevant context, set constraints, and describe the output you want. For example: “Write a…
How AI Chatbots Generate Answers—and Why They Can Be Wrong
Quick answer AI chatbots generate responses using patterns learned during training and information available in the current conversation. A language model typically builds text one token…