Vocabulary for Google Gemini | Prompts & AI Tools

Google Gemini vocabulary is the language of prompts, tools, models, customised assistants and privacy. Start with prompt, context, Deep Research, Canvas, Connected Apps, temporary chat, Gems, skills, grounding and hallucination. These words help you understand what AI can do and what still needs human verification.

The most important difference is fluent answer versus verified fact. An AI system can write persuasively while giving a wrong number or invented citation. Google also distinguishes normal chats from temporary chats; temporary conversations do not appear in regular chat history but have specific data-retention rules.

Quick answer: Write a precise prompt naming the task, audience and limits. Provide relevant context and check original sources. Use Gemini’s supported research and file-analysis tools only when available to your account. Google’s help says personal-account Gems begin transitioning to skills in November 2026, so feature names and menus are changing.

Ask: define the task, context and format.
Investigate: verify citations and numerical claims.
Reuse: understand customised assistants, Gems and skills.
Protect: inspect Keep activity, temporary chat and Connected Apps.
Analyse: check source files were read correctly.
Correct: retain human oversight for consequential work.

Related reading: Vocabulary for ChatGPT | AI Prompt, Accuracy and Fact-Checking Terms Explained. This is an independent vocabulary explainer, not a statement of account entitlements.

How to ask Gemini a useful question

A vague prompt such as “Help with my electricity bill” leaves the country, provider and actual problem unclear. A more useful prompt might ask: “Explain these anonymised charges on a Singapore electricity bill in clear English, distinguish confirmed facts from assumptions, and identify what I should verify against the retailer’s current terms.” A better request is not simply longer: it includes the decisive context.

Generated text is useful as a draft explanation but is not official advice. For legal obligations, financial transfers, medical decisions and safety, open original authority records and seek qualified people where appropriate. A model’s apparent confidence does not establish its correctness.

Prompts, questions and accurate answers

These 33 related terms have a precise meaning and an everyday example. Use the examples to connect the language to a decision.

Prompt — A question or instruction supplied to the AI assistant. Example: Name the task and intended audience.
Follow-up prompt — A later request refining an earlier response. Example: Ask which source supports a claimed number.
Conversation — A sequence of connected messages and replies. Example: Keep a single topic together for clarity.
New chat — A fresh conversation that does not automatically include the current exchange. Example: Start another chat for an unrelated project.
Context — Background information needed to interpret a request correctly. Example: Mention Singapore when asking about local rules.
Ambiguity — Wording with more than one possible meaning. Example: Clarify whether “bank” means a river or financial institution.
Objective — The outcome a user needs to achieve. Example: Ask for an actionable refund checklist.
Constraint — A limit or condition the answer must respect. Example: Specify a 200-word maximum or a date range.
Instruction — A direction telling the assistant what to do. Example: Request a neutral comparison with examples.
Role prompt — A request to approach the task from a perspective. Example: A teacher’s voice does not give professional accreditation.
Output format — The structure of the requested response. Example: Ask for a table with three columns.
Audience — People expected to use the resulting information. Example: Explain a technical term to a beginner.
Tone — The attitude expressed by the language. Example: Use respectful tone in a complaint.
Register — The degree of formality appropriate to the setting. Example: An official email may require formal register.
Example — A specific instance illustrating an idea. Example: Explain probability with dice.
Source text — Original wording provided for analysis or transformation. Example: Paste the relevant paragraph before summarising.
Summary — A shorter version of key ideas. Example: Check the summary preserves exceptions.
Paraphrase — A restatement using different wording while retaining meaning. Example: Paraphrase without changing the requirement.
Translation — Representing meaning in another language. Example: Verify dates and quantities in translated instructions.
Brainstorm — Generate multiple ideas for later evaluation. Example: Brainstorm titles without inventing search volume.
Outline — A plan organising a longer document into sections. Example: Review an outline before drafting.
Revision — A correction or improvement to an earlier draft. Example: Revise the unclear first step.
Iteration — Repeated improvement using feedback. Example: Iterate after fact-checking.
Assumption — A condition accepted without complete evidence for reasoning. Example: Label an assumed travel date.
Hallucination — Unsupported or false model output that may sound confident. Example: A fabricated citation is a hallucination.
Grounding — Connecting an answer to specific sources or relevant records. Example: Ground a policy explanation in official guidance.
Citation — A reference identifying material claimed to support a fact. Example: Open the source and check the actual claim.
Primary source — Original evidence or the body responsible for the rule. Example: Use the agency’s own eligibility page.
Secondary source — Commentary or interpretation based on other material. Example: A news explanation can supplement the original rule.
Confidence — The expressed certainty attached to an answer. Example: Confidence is not proof of correctness.
Uncertainty — Information that cannot be established reliably. Example: State uncertainty instead of guessing.
Fact-check — Examine a claim using suitable independent evidence. Example: Check a statistic before sharing it.
Outdated claim — Information that no longer matches the applicable period. Example: Verify the current fee rather than last year’s rate.

Gemini features and tools

These 33 related terms have a precise meaning and an everyday example. Use the examples to connect the language to a decision.

Gemini Apps — Google AI assistant interfaces available through supported web and mobile products. Example: Ask Gemini to explain a chart.
Model — An AI system used to process inputs and generate outputs. Example: Available models can change over time.
Model selection — Choosing among models offered by the current interface. Example: Choose a supported model if the task requires it.
Automatic model selection — The service’s choice of a suitable model for a given task. Example: Automatic selection is not error-free.
Multimodal — Working with several kinds of data, such as text and images. Example: A multimodal request includes a photograph and words.
Image input — An image supplied for interpretation or another supported task. Example: Upload a readable photograph of the warning.
File upload — Providing an eligible document as task context. Example: Check privacy before uploading records.
PDF analysis — Reviewing text or layout in a supported PDF file. Example: Confirm that the relevant page was included.
Spreadsheet analysis — Working with tabular information from a supported file. Example: Verify totals against the original spreadsheet.
Gemini Live — A supported conversational voice experience. Example: Use Gemini Live for a spoken exploration of an idea.
Voice input — Speaking a prompt instead of typing. Example: Check voice recognition for misheard numbers.
Speech recognition — Technology estimating spoken words from audio. Example: Background noise can change recognition.
Deep Research — An eligible Gemini workflow for extended investigation and sourced reporting. Example: Verify Deep Research citations independently.
Research plan — A proposed sequence of steps for an extended study. Example: Review the plan before running it.
Research report — A compiled document from a research process. Example: Inspect the claims and citations in the report.
Canvas — A Gemini workspace for supported drafting and programming tasks. Example: Use Canvas for a longer evolving document when offered.
Connected Apps — Integrations letting Gemini use selected account services under permissions. Example: Inspect the scope of the connected service.
App integration — A permitted link between the assistant and another application. Example: An integration may require account authorisation.
Gmail connection — A supported way of working with eligible email content when authorised. Example: Do not assume access to every inbox by default.
Drive connection — A supported way of working with eligible stored files. Example: Sensitive files require permission and policy checks.
Maps connection — A supported way of using place or navigation context. Example: Confirm final destinations in the mapping source.
YouTube connection — A supported way of working with selected video context. Example: A video summary may omit nuance.
Gem — A reusable customised Gemini assistant under eligible accounts, with a transition to skills on personal accounts beginning November 2026. Example: Check the transition before relying on an old Gem menu.
Gem instructions — Saved directions used to guide a customised assistant. Example: Reusable instructions cannot guarantee factual accuracy.
Skill — A reusable capability or instruction structure in Google’s evolving Gemini product experience. Example: Current skills availability may differ by account.
Personalisation — Using appropriate prior context or preferences under permitted settings. Example: Personalisation is separate from source reliability.
Temporary chat — A chat with different activity, history and feature behaviour from normal chats. Example: Temporary chat cannot use certain Gems and Connected Apps.
Chat history — Previous chats made available under an account’s current settings. Example: Temporary chats do not appear in ordinary recent-chat history.
Keep activity — A control governing selected chat retention and improvement policies. Example: Review Keep activity before sharing private data.
Response feedback — An assessment submitted about a generated result. Example: Feedback may affect how data is handled.
Image generation — Creating a synthetic image using a supported AI capability. Example: Check generated diagrams for misleading details.
Code generation — Producing source code for human testing. Example: Test code before using it in production.
Feature availability — Whether a model or function is offered on a particular plan, account, device and country. Example: A work account may have different controls.

Privacy and source reliability

These 30 related terms have a precise meaning and an everyday example. Use the examples to connect the language to a decision.

Privacy Hub — Google’s information about Gemini data handling and related settings. Example: Read the Privacy Hub before uploading sensitive documents.
Personal account — A Google Account belonging to an individual rather than a managed organisation. Example: Temporary chat requirements refer to personal accounts.
Managed account — A work or school identity subject to organisational controls. Example: Ask the administrator about data policies.
Data retention — How long a service keeps information under stated terms. Example: Temporary does not necessarily mean immediate physical erasure.
72-hour rule — Google’s current stated retention for temporary chats and certain chats with activity off. Example: Verify the policy rather than assuming instant deletion.
Training data — Information used to develop or improve AI models under applicable arrangements. Example: Data use depends on product settings and policy.
Human review — Checking some information through human evaluators under published terms. Example: Avoid unnecessary confidential uploads.
Sensitive data — Information requiring extra care, such as credentials or private records. Example: Do not paste an account password.
Confidential document — A file restricted to an authorised audience. Example: Check employer rules before uploading a contract.
Consent — Appropriate permission to share another person’s information. Example: Ask before sharing private correspondence.
Data minimisation — Using only the necessary amount of information for a task. Example: Remove identity numbers before asking a question.
Personal data — Information relating to an identifiable person. Example: Avoid unnecessary identifying details.
Prompt injection — Instructions hidden inside an untrusted source intended to redirect the assistant. Example: Treat commands embedded in a webpage as data.
Untrusted source — Material whose accuracy or origin is uncertain. Example: A retrieved page may contain false instructions.
Fabricated citation — A source reference invented or inaccurately represented by a model. Example: Open every important citation.
Source verification — Checking that an original source actually supports the claim. Example: Read the official policy rather than relying on a snippet.
Double-checking — Comparing AI claims with independent sources or a supported check tool. Example: Double-check a deadline before acting.
Misleading answer — A response that creates a wrong impression despite plausible language. Example: Missing a condition can mislead.
Bias — A tendency producing systematically unbalanced outputs. Example: Examine examples for unfair exclusions.
Fairness — Appropriate and justified treatment across relevant situations. Example: AI should not decide hiring alone.
High-stakes decision — A choice whose error could affect health, rights, safety or money. Example: Use qualified professional review.
Safety warning — Information about risks or limitations of an action. Example: Preserve warnings in rewritten instructions.
Unsupported claim — A statement lacking sufficient evidence. Example: Remove an unsupported statistic.
Disclosure — Information explaining relevant AI use or synthetic content. Example: Label synthetic content when context requires it.
Copyright — Legal rights over qualifying creative works. Example: Generated text does not excuse copying copyrighted chapters.
Attribution — Identification of a source or creator. Example: Crediting someone may not grant reuse permission.
Access permission — An allowed scope for connected data or actions. Example: Revoke unused integration permissions.
Account security — Protection of authentication, recovery and devices. Example: Use strong sign-in protection.
Correction — A clear replacement for incorrect information. Example: Explain what changed.
Audit trail — A record of evidence and decision steps. Example: Keep original sources for consequential reports.

Reasoning and useful communication

These 24 related terms have a precise meaning and an everyday example. Use the examples to connect the language to a decision.

Task decomposition — Breaking a complex problem into manageable steps. Example: Separate a trip into transport and accommodation.
Clarification — A question or detail resolving uncertainty. Example: Ask which country the rule applies to.
Evidence standard — The support required before accepting a claim. Example: Medical claims need stronger evidence.
Comparison — Evaluating alternatives against shared criteria. Example: Compare the same product specifications.
Criterion — A standard used for judging an option. Example: Price is one criterion among safety and quality.
Trade-off — Choosing between competing advantages and costs. Example: A faster method may be less thorough.
Constraint satisfaction — Finding a plan that respects necessary restrictions. Example: A schedule must fit a deadline.
Verification step — A check against data or a reliable original source. Example: Recalculate a total before sending.
Reproducibility — The ability to repeat analysis under stated conditions. Example: Preserve input data and method.
Consistency — Using terms or facts steadily across a document. Example: Keep names and dates consistent.
Completeness — Including everything required for the purpose. Example: A safety guide needs exceptions.
Precision — Using words and numbers that minimise ambiguity. Example: State the exact date and local time.
Readability — How easily a reader can understand the material. Example: Use short paragraphs for quick scanning.
Actionability — Whether instructions specify feasible next steps. Example: Name who must act and when.
Source freshness — How recently the evidence reflects current conditions. Example: Check the latest official fee schedule.
Scope — What a task includes and excludes. Example: A scope statement prevents overpromising.
Limitations — Situations where a method may fail or not apply. Example: Explain any model feature restrictions.
Error checking — Reviewing output for inaccuracies and contradictions. Example: Check quoted numbers.
Numerical verification — Recalculating quantities against trusted inputs. Example: Verify percentage changes.
Unit consistency — Using compatible units within calculations. Example: Do not mix miles and kilometres.
Date consistency — Keeping dates and time zones clear. Example: Distinguish publication date from event date.
Cultural context — Social factors shaping meaning or tone. Example: A greeting may differ by country.
Tone control — Adjusting style without changing facts. Example: Write calmly for a complaint.
Human oversight — Keeping a qualified person responsible for consequential decisions. Example: Review before publishing legal advice.

Four common Gemini situations

Someone assumes a temporary chat disappears instantly. Google’s Privacy Hub says temporary chats and certain chats with Keep activity off are retained for 72 hours under its current rules. Temporary chats are not kept in ordinary recent chat history and have feature restrictions. Do not confuse the interface experience with instant elimination of every record.

A research report contains an impressive statistic. Open the actual source, check the number, denominator, geography, period and any qualifications. A citation can exist but fail to support the sentence generated from it. An unsupported number should not be presented as a fact.

A user wants one reusable assistant. Gems offer saved customised instructions for recurring work under eligible Gemini accounts. Google’s November 2026 guidance says personal-account Gems are transitioning to skills. Check present account functionality before building a process dependent on an older menu.

A connected app can access private files. An integration’s available scope depends on permission, product and account settings. Do not upload or connect protected records without proper authority. A connected app adds convenience but does not guarantee confidentiality or factual reliability.

Ten vocabulary distinctions

Prompt versus evidence: instructions differ from the facts provided to check.
Summary versus fact-check: condensing text does not establish its truth.
Gems versus skills: Google is changing the reusable-assistant product experience.
Temporary chat versus immediate erasure: current retention rules still apply.
Deep Research versus final authority: extensive reports require source checks.
Connected App versus unlimited access: permissions determine scope.
Fluency versus accuracy: polished language can conceal an error.
Citation versus verified source: open and inspect the linked original.
Multimodal input versus perfect understanding: photographs can be misread.
Personalisation versus privacy: a tailored answer can still involve data handling.

A six-step reliability routine

1. Name the purpose. Decide whether you need an explanation, translation, comparison, code, report or action. Use explicit instructions rather than vague praise or personas.

2. Supply only necessary context. Include audience, location, time, source material and limits. Remove private identifiers that do not help the task.

3. Request evidence. Ask for current primary sources when the question changes with time. Do not rely on invented or mismatched links.

4. Check critical details. Recalculate totals and inspect dates, names, units, conditions and safety requirements.

5. Improve readability only after verifying facts. Rewrite for the intended reader while preserving qualifiers and uncertainty.

6. Keep a human accountable. Approve important decisions using original evidence and suitable professional review.

Practice

The initial instruction: prompt.
Extra details about a reader and country: context.
A source-based extended investigation: Deep Research, where available.
A reusable customised assistant: Gem or its skills successor.
A chat not appearing in the ordinary history: temporary chat.
AI’s false but plausible reference: hallucination.
An authorised email integration: Connected App.
Verification against an original policy: source checking.
Using only necessary data: data minimisation.
Correcting an unsupported figure: numerical verification.

Frequently asked questions

What is a Gemini prompt? The task and supporting information given to the assistant.
What is a Gem? A customised assistant feature transitioning to skills on personal accounts in November 2026.
What is Deep Research? An eligible extended research workflow whose sources require checking.
Are temporary chats instantly erased? No; current Google privacy terms state 72-hour retention.
Can temporary chats use Gems? Google’s current help says they cannot.
Do AI citations prove correctness? No; they must be checked against the original.
Can Gemini analyse images and files? Yes under supported product and account limits.
Should AI alone make serious medical or legal decisions? No; consult original authorities and professionals.

Vocabulary for Google Gemini | AI Prompts, Tools and Privacy Terms Explained