Basics
Get productive with Gemini fast — the core model and first prompts.
Gemini is Google's assistant family, notable for very long context, strong multimodal input, and integration across Google Workspace. This hub breaks Gemini down by intent — pick what you're doing, then drill into tested knowledge cards.
Move through the modules in order, or return to the part of your work that needs attention now.
Get productive with Gemini fast — the core model and first prompts.
Generate, debug, and reason over large codebases with Gemini's long context.
Draft and edit with a consistent voice, grounded in Google Search.
Synthesise sources and reason over long documents and video.
Capabilities most people miss — Workspace, Gems, and grounding.
The common errors that make Gemini output worse — and how to avoid them.
Gemini is Google's assistant family, and three things define it: a very large context window, genuinely strong multimodal input, and deep integration across Google Workspace. In practice that means you can hand Gemini enormous inputs — long PDFs, hours of transcript, entire codebases, images, and audio — and have it reason across all of it at once. If your work already lives in Gmail, Docs, Sheets, and Drive, Gemini has a home-field advantage no other assistant matches: it can act on the documents you already have instead of asking you to paste them in.
The starting move is the same as any assistant — give it context, a clear goal, and the format you want — but Gemini rewards a specific habit: lead with the material. Because it handles so much input comfortably, you often get better results by giving it the whole document and a precise question than by summarising the document yourself and asking narrowly.
Gemini's huge context window is its headline feature, and it unlocks tasks that are awkward elsewhere: reviewing a large codebase in one pass, comparing several long documents side by side, or answering questions grounded in a full report rather than a fragment. For coding, this is why large-context work is a category of its own here — you can give Gemini the surrounding files instead of a lonely snippet and get answers that respect the whole system.
The multimodal side is just as practical. Gemini reads charts, screenshots, diagrams, and photos, and combines them with text in a single prompt. Point it at a screenshot of a broken UI and the relevant code, or a spreadsheet image and a question about the numbers, and it reasons over both together. The mistake to avoid is treating Gemini like a text-only chatbot when the fastest path is often to show it the thing rather than describe it.
Where Gemini pulls ahead for many people is inside Google Workspace. It can draft in Docs, analyse and formula-build in Sheets, summarise long Gmail threads, and pull context from Drive — all without leaving the tools you already use. If your day runs through Google's apps, that integration turns Gemini from a separate destination into an assistant that sits on top of your real work.
Gems extend this further: they are custom, reusable versions of Gemini with their own instructions and context, the equivalent of packaging a repeated prompt into a saved assistant. Build a Gem once for a recurring job — a brand-voice writer, a meeting-notes summariser, a code reviewer tuned to your stack — and you stop rebuilding the same prompt every time.
The quickest way to improve with Gemini is to play to its strengths deliberately: feed it long context instead of pre-summarising, use images and files rather than describing them, and lean on the Workspace integration for anything that touches your Google documents. Avoid the common prompting mistakes that waste any assistant's potential, then pick the intent below and drill into the tested knowledge cards underneath.
Yes, there is a free tier of Gemini with access to capable models, plus paid plans (including Google AI and Workspace options) that add higher limits, the most advanced models, larger context, and deeper integration across Google apps. For everyday use the free tier is a solid start; the paid tiers matter most when you rely on the largest context window or on Gemini inside Workspace.
Gemini's advantages are its very large context window, strong multimodal input, and native Google Workspace integration, which make it excellent for long documents and for people who live in Gmail, Docs, and Sheets. ChatGPT is a broader generalist with a deeper standalone feature set. If your work is Google-centric or involves very long inputs, Gemini often wins; otherwise it is close and task-dependent.
Gemini offers one of the largest context windows available, capable of taking in very long documents, large codebases, and lengthy transcripts in a single prompt. The practical benefit is that you can give it the whole source and ask a precise question, rather than pre-summarising the material yourself and risking the loss of detail that actually matters.
Yes. Gemini integrates across Google Workspace — it can draft and edit in Docs, help build formulas and analyse data in Sheets, summarise and draft in Gmail, and pull context from Drive. That native integration is one of Gemini's biggest differentiators for anyone whose work already lives in Google's apps.
Gems are custom, reusable versions of Gemini with their own saved instructions and context — the equivalent of turning a repeated prompt into a dedicated assistant. Build a Gem once for a recurring task, such as a brand-voice writer or a meeting-notes summariser, and reuse it instead of rewriting the same setup every session.
Yes. Gemini is strongly multimodal: it reads images, screenshots, charts, diagrams, PDFs, and other files, and reasons over them alongside text in the same prompt. Often the fastest approach is to show Gemini the thing — a screenshot of an error, a spreadsheet, a diagram — rather than describing it in words.
Eight questions spanning everything Gemini — prompting, the long context window, multimodal research, Gems, Workspace, and the search-box habit that caps most people's results. Take it as a diagnostic: whatever you miss tells you which topic to read next. No sign-up, instant score, and you can share how you did.