This path is for you if Google uses the name Gemini for more than one product. Early parts explain the names, plans, a first half hour, Gmail and Docs and Sheets and Drive, and privacy. Later parts separate the consumer app from Workspace, then the coding surfaces, and when a full IDE agent is too much. Start with the first part on this page.
Getting started
- 1 What is Gemini? Google’s many AI names, explained Gemini is Google’s AI assistant family, not one button. Part 1 separates company, models, and products, translates old names like Bard and Duet AI, and maps the app, Workspace, NotebookLM, and AI Studio without hype.
- 2 Which Google AI plan should you buy? Free, Plus, Pro, and Ultra compared Choose Free, Plus, Pro, or Ultra from the job and the data you paste, not from a usage banner. Keep Workspace seats separate from personal subscriptions and API wallets.
- 3 How to get started with Google Gemini in your first 30 minutes Spend thirty minutes in Gemini app or web on one surface. Use constrained prompts, try one file or image if allowed, and leave with one reusable pattern.
- 4 How to use Gemini in Gmail, Google Docs, Sheets, and Drive Gemini inside Gmail, Docs, Sheets, and Drive is powerful because it sits next to real work. Use a draft-edit-verify loop, practical prompts, and team habits so side-panel help does not become side-panel incidents.
- 5 How to use Gemini with photos, screenshots, and PDFs without overtrusting it Use Gemini on photos, screenshots, and PDFs with structured prompts and a safe upload ladder. Demand quotes or [UNCLEAR] labels, and verify surprising claims in the source before you act.
- 6 How Google Gemini handles your privacy at work, and who controls the settings Learn personal Gemini controls and Workspace admin basics. Match data classes to the seat. When this post conflicts with IT policy, IT wins.
- 7 When not to use Google Gemini: jobs where it is the wrong tool Know when Gemini is the wrong tool. Use a wrong-tool map and a good-enough checklist so a fluent answer does not become a customer, policy, or regulator problem.
Product map
- 8 Consumer Gemini vs Workspace Gemini Consumer Gemini and Workspace Gemini are different doors. Match the job to the contract: personal app versus company Workspace seat, then confirm which buttons exist on your plan.
- 9 How to use Gemini’s coding help in Android Studio and other code editors Gemini in the IDE is not the chat app. Map Code Assist style tools and Android Studio to your real license, expect quota refusals, and keep proprietary code off personal consumer chat.
- 10 Gemini CLI vs Antigravity CLI: which Google AI coding tool should you use? Gemini CLI and Antigravity CLI are terminal agent surfaces in transition. Know what replaced what by tier, how CLI differs from IDE assistants, and never point an agent at production folders on day one.
- 11 When to use Google AI Studio and the Gemini API instead of the Gemini app Google AI Studio and the Gemini API are builder doors, not the consumer chat plan. Separate wallets, keep keys out of git, start with a tiny budget, and treat Studio as a playground, not production.
- 12 Which Google Gemini model should you use for the job? Model names change faster than team training decks. Choose by job: Flash-class for everyday speed, Pro-class when depth earns the cost, pin versions, and re-test after launches instead of chasing every new label.
Everyday use
- 13 What to do with Google Gemini in your first week of using it Useful Gemini skill is five short days with one real deliverable outside chat each day, not one enthusiastic poem about your title.
- 14 How to use Google Gemini for research, planning, and writing Research and writing with Gemini works when you force a pipeline: questions, trusted sources, outline, draft with placeholders, then verify. Mark unknowns. Humans own the byline.
- 15 How to use Google Gemini to study and understand difficult subjects Learn hard topics with Gemini using a study loop: observable goals, a short map, active quizzes and teach-backs, then verification against real sources so fluent explanations do not replace understanding.
- 16 How to get useful answers from Gemini about your photos and documents Everyday multimodal help with Gemini: whiteboards, screenshots, and PDFs using structured prompts, short upload rules, and quick verification so camera-roll magic does not become a data incident.
Google Workspace
- 17 How to use Gemini in Gmail to draft, summarize, and adjust tone Gmail plus Gemini works with a strict loop: summarize, draft with constraints, edit in your voice, verify, then send. Summaries can drop the sentence that mattered. Humans own Send.
- 18 How to draft in Google Docs with Gemini and stay in control Docs plus Gemini stays useful when you control the path: brief, outline, section drafts, human facts, then voice edit. Placeholders beat fake precision. Humans own the byline.
- 19 How to use Gemini in Google Sheets to explain formulas and clean up data Sheets plus Gemini is for explanations, cleanup plans, and validation ideas you test on a scratch tab. Implement in a copy, verify known rows, then promote. Never invent metrics in manager narratives.
- 20 How to find, summarize, and organize files in Google Drive with Gemini Drive plus Gemini can find, summarize, and propose organization, but permissions still rule. Summaries inherit sensitivity, and you move the files yourself.
- 21 How to set team rules so nobody overshares with Google Gemini at work Workspace AI needs shared team habits: data classes, approved surfaces, human edit on external content, a prompt library, and an oversharing ladder. Publish a one-page use note people will actually read.
Coding surfaces
- 22 How to start using Gemini for coding in your code editor Opening Gemini in your code editor is a power tool, not a free pass. Use the right Google account, an approved extension, a tiny first task, and a hard rule to read every diff before you merge.
- 23 How to let an AI coding agent work safely from your terminal Terminal agents like Gemini CLI and Antigravity CLI can edit a real repo. Use a feature branch, a small goal, plan-first habits, and a human merge. Treat mid-2026 renames as map pins, not panic.
- 24 How to code with an AI assistant in four steps: ask, edit, test, and review Across IDE assist and terminal agents, keep the same loop: clear ask, small diffs, tests that matter, human review before merge. The surface changes. The loop does not.
- 25 What to check when your AI coding assistant suddenly stops working When Gemini coding tools stop, classify the stoppage: plan, quota, account, policy, outage, or deprecation. Fix in order. Buying a new personal plan rarely fixes an enterprise seat problem.
- 26 When a full AI coding agent is overkill for a programming job A full coding agent is often overkill. Choose by job size, write a lean stack on one sticky note, and save autonomy for work that earns the review tax.