Section
What to use, and how to choose.
6 stories
Every major AI assistant has a free tier and a ladder of paid plans, and the differences are not always obvious from the pricing page. Here is what upgrading usually buys you, which features matter for which kinds of users, and how to decide whether a subscription will pay for itself.
Everything you type into an AI assistant is data someone else stores, at least for a while. This guide explains what chatbots typically keep, how training opt-outs and temporary chats work, what never to paste in, how US privacy law applies, and a five-minute settings checkup for the tools you already use.
An AI assistant can explain, quiz and correct you at any hour, but most people use it in the way least likely to make anything stick: asking for answers. This guide shows how to pair AI with proven learning techniques such as retrieval practice, spacing and self-explanation, with prompts you can reuse.
Search engines now write answers, chatbots now search the web, and dedicated AI answer engines sit somewhere in between. Each still has different strengths. This guide explains how AI-powered search works, when a list of links beats a written answer, and how to check sources fast.
AI notetakers can transcribe a call, summarize decisions and draft follow-up emails before the meeting ends. They also record people, which brings US consent laws, confidentiality and accuracy into play. Here is how the tools work, how to choose one and how to use it without creating new problems.
AI can write formulas, clean messy columns, build pivot tables and explain trends in seconds, whether it is built into Excel and Google Sheets or used through a chatbot. Here is what each approach is good at, a practical workflow, and the checks that keep a wrong number out of your report.
