Ask and Reason
Use focused chats for explanations, writing, analysis, critique, planning and decisions with an appropriate level of thinking.
A practical guide to Google's AI assistant for research, writing, analysis, files, connected productivity and creation. Learn when to use standard chat, deeper thinking, Deep Research, Gems, Canvas, Workspace connections, Google AI Studio and the Gemini API—and how to turn them into reliable SEO, guest-posting and business workflows.
Choose the result first. This route sends you to the narrowest Gemini mode, workspace or developer surface for the job.
Use standard chat and the appropriate thinking level for drafting, critique, explanation and decisions.
Use Deep Research for a planned, multi-source investigation with a reviewable report.
Create a Gem for recurring instructions, reference material and task-specific behaviour.
Use Canvas for documents, slides, apps and code that should be edited beside the conversation.
Upload documents, spreadsheets, notebooks, images or video for structured analysis and synthesis.
Use approved Workspace connections for Gmail, Drive, Docs, Calendar, Tasks and Keep.
Combine research, evidence, files, Gems and review stages for repeatable campaign work.
Move into Google AI Studio and the Gemini API when the model must power a product or automation.
Google Gemini is broader than a writing chatbot. It can answer and reason in conversation, investigate current information, work with rich files, create reusable specialists, develop assets in Canvas and—where account settings permit—use context from connected Google services.
Use focused chats for explanations, writing, analysis, critique, planning and decisions with an appropriate level of thinking.
Move from quick current-information questions to a structured Deep Research project using selected web, file and connected sources.
Create documents, slides, code, apps, images, audio and learning assets, then refine substantial outputs inside Canvas.
Use Gems, files, Workspace services and developer tools to turn isolated prompts into repeatable, context-aware workflows.
This page teaches how to operate Gemini. The Google ecosystem playbook maps Search, Ads, Analytics, Workspace, Cloud and the wider platform family, while the Google AI guide provides broader AI context.
Do not send every job through a long generic chat. Select the surface that matches the output, give it the smallest useful context and decide how the result will be checked before work begins.
| Your task | Best starting point | Give Gemini | Check before using |
|---|---|---|---|
| Draft, explain or revise | Chat | A clear outcome, audience, context and format | Accuracy, tone, omissions and unsupported claims |
| Solve a difficult problem | Pro + thinking | Decision criteria, constraints and reliable evidence | Whether the answer addresses the actual objective |
| Find a current fact quickly | Search-grounded chat | Date, market, source expectations and exclusions | Publisher, date, direct support and context |
| Produce a research report | Deep Research | A decision-led brief and approved source types | Plan, coverage, citations, conflicts and gaps |
| Repeat a specialist method | Gem | Stable instructions, examples and reference files | Instruction drift, stale sources and edge cases |
| Create an editable deliverable | Canvas | The user, destination, structure and acceptance criteria | Function, accessibility, formatting and sharing |
| Analyse rich source material | File upload | Selected documents, sheets, images, audio or video | Extraction accuracy, missing pages and source meaning |
| Use organisational context | Workspace | The service, item clues, action and permission boundary | Account, freshness, source and proposed action |
| Prototype an AI feature | Google AI Studio | Representative inputs, output schema and tests | Model version, safety, cost, latency and failure handling |
| Run Gemini in software | Gemini API | A designed workload, tools, controls and evaluation set | Structured output, permissions, logging and spend |
Gemini's available models, thinking levels and limits depend on plan, account and current product access. Standard thinking is appropriate for most everyday work; deeper modes are more useful when the problem has interacting constraints, difficult code or a high cost of missing an important step.
Use the normal response path when speed, iteration and clarity matter more than a lengthy reasoning process.
Allow more reasoning for difficult comparisons, technical planning and decisions with several dependent requirements.
Reserve the deepest available mode for genuinely hard work where additional parallel reasoning may justify slower responses and higher usage.
Use the fastest suitable route for a representative version of the task.
Identify what is materially inaccurate, shallow, incomplete or inconsistent.
Use a stronger model or deeper thinking only where it addresses the failure.
Measure quality, response time and usage against the same acceptance criteria.
Google describes Standard, Extended and Deep Think as different reasoning levels, with more advanced options using more allowance. Check the live model selector and account limits before documenting a team process.
Deep Research can plan and conduct a broader investigation using Google Search by default, with additional sources such as uploaded files, NotebookLM notebooks and connected Gmail or Drive where available. The strongest brief begins with the decision the evidence must support.
Replace “research digital PR” with the market, decision, timeframe and output the report must support.
Decide whether the investigation should use the web, selected uploads, Workspace sources or a NotebookLM notebook.
Correct scope, missing stakeholders, weak source types and unsuitable comparisons before the full investigation runs.
Ask for sourced findings, conflicts, uncertainty, inference and recommendation under distinct labels.
Verify the pages that support the recommendation rather than treating a citation list as automatic proof.
Transform the approved findings into a brief, comparison, outreach list, content plan or decision memo with named ownership.
Map current competitors, result formats, recurring entities, source types and unanswered questions before creating a content brief.
Explore market research methodsInvestigate a niche, identify credible publications and develop evidence-led angles before manual qualification and outreach.
See GuestPost.UK's service approachStudy which sources, entities and claims appear across AI-led results, then prioritise gaps that need stronger evidence or authority.
Explore GEO servicesOpen the sources that materially support the report. Confirm the publisher, publication date, underlying evidence and whether the cited passage supports Gemini's exact claim.
A Gem customises Gemini for a recurring need. The most useful Gems preserve stable instructions, relevant reference material, a repeatable sequence and quality checks—while leaving changing campaign facts in the individual request.
Turn approved research into a consistent brief without forcing every writer or strategist to rebuild the method.
Apply the same fit, relevance, risk and evidence questions to prospective guest-posting or digital PR opportunities.
Review a draft, report or outreach asset against a durable checklist before it reaches a client or external publisher.
Give the Gem a narrow recurring job rather than a vague all-purpose role.
Define inputs, sequence, rules, output and the checks it must perform.
Upload only stable, approved material that genuinely improves the recurring task.
Use normal, ambiguous and failure examples before the Gem becomes a team habit.
Store the stable process, templates and review standards in the Gem. Supply current keywords, competitors, publisher details, dates and client evidence in the individual request so the reusable instructions do not become stale.
Canvas gives a substantial deliverable its own working surface beside the chat. Google currently supports creating or editing documents, slides, apps and code, with additional transformation options available according to account and feature access.
Develop a report, brief, guide or client recommendation in an editable surface rather than burying it inside a conversation.
Turn approved findings into a logical slide narrative, then check claims, hierarchy, density and speaker context.
Explore a calculator, checker, planner or small interface before committing the concept to full production development.
Create and revise a focused code output while keeping the intended behaviour and acceptance criteria visible in the chat.
Build an editable brief containing intent, audience, evidence, entities, structure, internal links and editorial checks.
Move an approved Deep Research report into a practical memo, plan, quiz, audio overview or another usable format.
| Need | Use chat when | Use Canvas when | Final check |
|---|---|---|---|
| Drafting | You need a short answer, idea or quick revision | The document needs several sections and iterative editing | Structure, evidence, originality and voice |
| Code | You need an explanation or small isolated snippet | You need a coherent asset, prototype or editable implementation | Function, security, tests and accessibility |
| Presentation | You are deciding the argument or extracting key points | You are building the slide sequence and deliverable | Claim support, visual density and narrative flow |
| Research | You are refining the question or testing an interpretation | You are transforming approved findings into a work product | Citations, uncertainty, ownership and next action |
Review the finished asset in its real destination. Check factual accuracy, formatting, accessibility, links, code behaviour and permissions before it is shared with a client, publisher or public audience.
Gemini Apps can work with documents, spreadsheets, notebooks, photos, videos and other supported files. Treat an upload as evidence with a known purpose: define what the file contains, what question it should answer and how important findings will be verified.
Extract claims, compare sections, identify obligations, build summaries and trace recommendations back to pages or passages.
Inspect structure, explain patterns, locate anomalies and propose calculations while preserving the original units and definitions.
Interpret visible content, compare layouts and extract usable observations without assuming that every visual detail was captured correctly.
Summarise, find themes, identify moments and create derivative notes while checking timestamps, speakers and missing context.
Keep a purposeful source collection with instructions and related chats when the work needs persistent, source-led context.
Import supported code context, ask architecture questions and review proposed changes against the repository rather than an isolated snippet.
| Source type | Useful request | Frequent failure | Human check |
|---|---|---|---|
| PDF or document | Evidence map, comparison, obligations or structured summary | Missing tables, footnotes, scans or qualifiers | Open cited pages and inspect surrounding text |
| Spreadsheet | Pattern explanation, anomaly list or calculation plan | Wrong units, headers, periods or formula meaning | Trace values to labelled cells and source definitions |
| Image or screenshot | Content extraction, visual critique or layout comparison | Misread small text or inferred hidden context | Compare against the original-resolution image |
| Audio or video | Timeline, topic map, clip list or derivative brief | Speaker confusion, transcription error or lost nuance | Review decisive timestamps and original media |
| Codebase | Architecture map, issue diagnosis or scoped change plan | Unseen dependencies or untested assumptions | Inspect the diff, tests, permissions and runtime behaviour |
Remove irrelevant personal data, credentials, unpublished client material and confidential fields. Account type, organisational policy and administrator settings can affect whether a file may be used and how it is handled.
Where the account and administrator allow it, Gemini can work with selected Google Workspace services. Name the service and the item clues in the request, confirm that Gemini found the correct source and review any proposed action before relying on it.
Find and summarise relevant email context, with sender, subject and date clues to avoid retrieving the wrong thread.
Locate supported files using names, owners, dates and distinctive content, then verify the selected item.
Retrieve and summarise document text while remembering that some comments, images and embedded context may not be available.
Find or manage permitted events with explicit dates, time zones, attendees and approval before changes.
Create or retrieve tasks and reminders with a clear owner, date, priority and relationship to the work.
Capture or retrieve approved notes and lists, then move durable project decisions into the proper system of record.
Connected Workspace retrieval can exclude some comments, images, non-document media and other embedded context. Open the original when those elements could change the conclusion.
Specify dates and version clues, then verify that Gemini used the current thread, document or event rather than an older match.
Summarising an email is not the same as creating an event or changing a task. Keep external and irreversible actions under explicit review.
Connected-app availability, data protections and activity controls can differ from personal accounts. Document the organisation's approved Gemini and Workspace settings before building a shared process.
Gemini can accelerate discovery, synthesis, planning and creation, but it should not silently decide relevance, quality, originality or publication readiness. Use a staged workflow with a named input, output and human checkpoint at every transition.
Use current-source research to identify result formats, competitors, recurring entities, evidence types and unresolved questions.
Transform approved research into a brief covering audience, intent, entities, evidence, structure, internal links and editorial risks.
Research topical fit, visible audience, editorial standards and credible story angles before manual site and contact verification.
Compare how the brand and its competitors appear across relevant sources, then prioritise evidence and authority gaps.
| Stage | Gemini can accelerate | Human judgement remains | Useful GuestPost.UK resource |
|---|---|---|---|
| Discovery | Source finding, clustering, comparisons and question mapping | Which opportunity is commercially and editorially worthwhile | AI search checklist |
| Briefing | Evidence synthesis, structure, entity and format planning | Original angle, audience value and factual standard | SEO content brief generator |
| Outreach | Prospect notes, angle ideation and message drafts | Publisher fit, relationship context and final personalisation | Blogger outreach services |
| Creation | Outlines, drafts, transformations, tables and revision passes | Experience, originality, claims, voice and publication approval | SEO content writing |
| GEO review | Entity maps, citation comparisons and evidence-gap summaries | What the sample means and which authority investment is justified | AI citation gap finder |
Gemini can organise evidence and propose an answer. A specialist still needs to decide whether the source, publisher, claim, link, recommendation and final asset meet the standard required for the real audience.
Gemini can create and transform several media types according to plan, region and account access. Start with the audience, channel, message and acceptance criteria, then review ownership, disclosure, factual content and brand suitability before publication.
Create or refine illustrations, social concepts, explanatory visuals and campaign variations. Check text rendering, brand accuracy, representation and real-world claims.
Prototype scenes, narrative direction and short campaign assets. Inspect continuity, voice, likeness, disclosure and platform requirements.
Explore music concepts from text or supplied visual direction, then verify permitted use, lyrics, brand fit and production quality.
Transform a supported file, report or Canvas output into an audio overview for review, learning or internal briefing. It is a derivative summary, so check it against the source.
Google uses technologies including SynthID and Content Credentials for supported AI-generated media. Preserve provenance information and follow the destination platform's disclosure rules.
Open Google's verification guideGoogle AI Studio is the developer workbench for trying Gemini models, adjusting settings, testing tools, prototyping apps and moving a working experiment towards code. Keep experimentation separate from a production system with real users, secrets and reliability requirements.
A convincing demo is not yet a reliable product. Use realistic inputs, explicit success criteria and failure cases, then compare models and settings on the same evaluation set.
Test multi-turn prompts and representative inputs without building the application first.
Adjust the model and supported parameters deliberately, then record the configuration behind the result.
Prototype structured output, function calling, code execution and grounding where the model supports them.
Compare prompt or model variants against the same examples and acceptance criteria.
Prototype an app from a description, remix a gallery project or import supported code for iterative development.
Export a working prompt or configuration into a supported language, then add production engineering controls.
Use an approved server-side secret store, restrict each key to the required service and project, rotate exposed credentials and separate development from production access.
The Gemini API moves the model beyond an individual chat. It can support text and multimodal understanding, structured responses, tool use, search-grounded answers, retrieval and agentic workflows—but the application remains responsible for authentication, permissions, validation, logging and user safety.
| Capability | Use it for | Design requirement | Verification |
|---|---|---|---|
| Interactions API | New Gemini model and agent integrations through a unified interaction pattern | State, tool and response handling appropriate to the application | Test multi-turn behaviour, retries and failure states |
| Structured outputs | JSON and other predictable machine-readable results | A schema that reflects real downstream requirements | Validate every response before storage or action |
| Function calling | Ask approved software functions to retrieve data or perform work | Allowlisted tools, strict parameters and action permissions | Inspect proposed arguments before high-impact calls |
| Google Search grounding | Current web information with source annotations | A current-information need and a citation-aware interface | Open sources supporting material claims |
| File Search | Retrieve relevant context from an indexed source collection | Curated documents, access boundaries and source freshness | Return traceable source references with the answer |
| Code execution | Calculations, data transformation and analysis within supported limits | Controlled input, expected output and resource boundaries | Recalculate critical results independently |
Name the input, output, latency target, error behaviour and actions the user expects.
Choose the smallest current model that reliably passes the representative task set.
Use explicit formats and schemas so downstream software does not guess the result structure.
Expose only required functions and data, with approval before material external actions.
Measure quality, refusals, latency, token use and failures on versioned examples.
Log model and prompt versions, tool calls, validation results and user-visible errors.
Keep credentials out of client-side code and use separate, restricted access for development and production.
A schema improves consistency but does not prove factual or business correctness. Validate both structure and meaning.
Check the user, resource, parameters and action rather than letting model output become automatic permission.
Handle timeouts, rate limits, invalid output, unavailable tools and model changes without hiding the problem from users.
The original generateContent route remains supported, but current Google documentation positions the Interactions API as the unified path for new model and agent applications. Confirm the latest recommendation before implementation.
The best shortcut removes repeated setup or an unnecessary transformation. It should not remove the source, permission, evaluation or approval step that makes the finished work trustworthy.
Use the relevant @ service and item clues instead of asking Gemini to search every connection.
Stop repasting stable instructions, reference material and review standards.
Correct scope and source choices before Deep Research builds a long report.
Request pages, rows, timestamps or citations so material findings are faster to verify.
Keep substantial editing and iteration in a dedicated surface instead of a long chat.
Confirm extraction and interpretation before scaling the same analysis across a source set.
Evaluate the prompt, model and schema before engineering a production integration.
Ask Gemini to list sources, edits, tool actions, passed checks and unresolved uncertainty.
The Gemini app presents broad model choices, while the Gemini API exposes versioned endpoints. For production work, choose a documented model ID, test it on representative examples and record the exact version used. This map reflects Google's model catalogue on 15 August 2026.
gemini-3.1-pro-preview
Use for the most demanding reasoning, agentic coding and complex problem solving when output quality matters more than speed.
Preview: plan for changegemini-3.7-flash
Google's latest stable Flash model for complex coding, agentic workflows and reliable multi-step execution. Start here for a capable production default.
Stable workhorsegemini-3.6-flash
A previous-generation stable Flash route balancing speed and multimodal performance for general agents and everyday tasks.
Stable predecessorgemini-3.5-flash
Google now describes this as a legacy Flash model. Keep it for known compatibility only; benchmark a migration before new development accumulates around it.
Legacy baselinegemini-3.5-flash-lite
The fastest, most cost-efficient Gemini 3.5 model for classification, extraction, routing and other high-throughput work that passes a disciplined evaluation set.
Speed and volume| Route | Status | Best starting fit | Operational watch |
|---|---|---|---|
| Gemini 3.1 Pro | Preview | Hard reasoning, complex code and high-value agentic work | Preview aliases, availability, latency and migration risk |
| Gemini 3.7 Flash | Stable | Production assistants, multi-step tasks and capable general use | Evaluate quality against Pro before paying for extra reasoning |
| Gemini 3.6 Flash | Stable | Existing general-purpose and multimodal workloads | Benchmark 3.7 before committing new systems |
| Gemini 3.5 Flash | Legacy | Compatibility with an already-tested deployment | Deprecation planning and versioned regression tests |
| Gemini 3.5 Flash-Lite | Stable | High-volume extraction, labelling and routing | Do not trade away accuracy without measured evidence |
A Google AI plan expands access in consumer products. Production API usage is metered under the developer pricing and terms, so model cost, context, grounding and tool use should be budgeted independently.
Gemini is useful without a paid AI plan. Upgrade when regular work is constrained by usage, context length, research, media generation or Google-app integration—not because a higher tier sounds more capable. UK public prices below were checked on 15 August 2026.
For occasional writing, planning, file analysis and testing Gemini's core features before paying.
For regular personal use that benefits from extra Gemini capacity, Google-app access and a larger working context.
For researchers, marketers and creators regularly using Pro, long source sets, Workspace tools and generation features.
For very heavy creative, research or advanced reasoning use where higher limits and Deep Think can justify the cost.
Consumer Google AI plans are for personal accounts. Organisations should evaluate Workspace or enterprise access, admin controls, data handling and regional availability with the account owner.
Most failures are not dramatic. They appear as the wrong account, a plausible unsupported claim, an irrelevant file, an overpowered model or an action taken without a clear boundary. Make these checks part of the workflow.
Check the active personal or work profile before opening a connected app, notebook, Gem, file or paid feature.
Use the narrowest relevant service and identify the file, sender, folder or date instead of granting broad context by default.
Name the approved version and ask for a source location. Confirm freshness before relying on changing facts or documents.
Test a small representative source set first, then expand only when extraction quality and context use remain reliable.
Open the source, inspect the date and confirm that the cited passage directly supports the material claim being made.
Start with standard thinking or Flash. Escalate only when harder reasoning measurably improves a valuable outcome.
Review originality, factual accuracy, brand fit, accessibility, licensing context and visible generation errors.
Keep API keys server-side and validate the user, tool, resource and proposed parameters before any external action.
Google Gemini is strongest when the work lives in Google's ecosystem or needs Google's multimodal, research and developer surfaces. Other assistants may be the better first choice for a different information source, collaboration model or delivery workflow.
Best natural fit for Google Workspace context, Deep Research, Gems, Canvas, AI Studio and multimodal work inside Google's product family.
A strong general-purpose route when broad assistant workflows, custom GPTs, data analysis or a non-Google working surface matters more.
Open the ChatGPT guideA focused starting point for current web discovery, source-led exploration and fast research trails before deeper analysis or drafting.
Open the Perplexity guideResearch in one system, analyse in another and finish in the tool closest to the approved source material—while preserving citations and version history.
Compare ChatGPT and Gemini| Assistant | Natural advantage | Choose it when | Watch carefully |
|---|---|---|---|
| Google Gemini | Google ecosystem, multimodal context, research and developer routes | The approved work already lives in Gmail, Drive, Docs, Sheets or Google's AI tools | Account identity, connected-app scope, changing feature limits and source verification |
| ChatGPT | Broad generalist workflows, reusable assistants, analysis and creation | You want one flexible workspace spanning ideation, documents, code and tools | Tool permissions, source freshness and whether a specialised research route would be faster |
| Claude | Long-form reasoning, careful writing, Projects, Artifacts and coding workflows | The core job is sustained document, code or editorial work in a focused workspace | External search coverage, connected-service needs and plan-specific feature access |
| Perplexity | Web discovery and source-led current-information research | You need a fast map of sources, competing claims and follow-up research questions | Citation quality, source diversity and moving from discovery to a polished deliverable |
| Microsoft Copilot | Microsoft 365 context and enterprise productivity | The organisation's approved work sits in Outlook, Teams, Word, Excel or Microsoft security controls | Licence boundaries, tenant configuration and differences between Copilot products |
The best assistant is usually the one that can reach the permitted evidence, perform the required transformation and deliver into the real working environment with the fewest uncontrolled hand-offs.
These guides connect Gemini use with Google's wider ecosystem, AI search visibility, Workspace, model comparisons and practical optimisation work.
Map the broader Google products around search, content, measurement and work.
Explore the ecosystem AIUnderstand the wider Google AI landscape beyond the Gemini assistant itself.
Read the guide LABGo deeper into prompt prototyping, models, settings and developer hand-off.
Open the studio guide WSConnect Gmail, Drive, Docs, Sheets and collaboration to the operating workflow.
Explore Workspace VSCompare the two leading assistants by strengths, workflow and practical fit.
Compare the tools GEOBuild visibility across ChatGPT, Gemini and Perplexity answer experiences.
Read the ranking guide AIOStrengthen the signals that help content become useful in Google's AI answers.
Optimise for AI Overviews CHKTurn AI visibility principles into a repeatable technical and editorial review.
Use the checklistUse these short answers to settle the account, plan, feature and workflow questions that most often block a confident start.
Gemini is Google's family of AI models and its consumer AI assistant. The name also appears across Google Workspace, AI Studio, the Gemini API and other Google products, so the exact surface matters.
Google develops Gemini, with model and product work led across Google DeepMind and the wider Google organisation.
Yes. A personal Google Account can use Gemini without a paid AI plan, subject to standard limits, feature availability, age rules and region. Upgrade only when regular work needs more access or context.
On 15 August 2026, Google's UK page listed AI Plus at £4.49/month, AI Pro at £18.99/month and AI Ultra from £79.99/month. Prices, trials and bundles can change, so confirm the live UK subscription page.
Use Flash-Lite for routine speed and volume, Flash for capable general work, and Pro or deeper thinking for difficult reasoning where added quality justifies slower responses and greater usage. Test the actual task rather than choosing by name alone.
Deep Research plans and performs a multi-source investigation, then produces a structured report. Review the research plan first and verify the sources, dates, contradictions and material claims before acting on it.
Gems are reusable, task-specific versions of Gemini configured with stable instructions and, where supported, reference material. They are useful for recurring research, editorial, analysis and review methods.
Canvas is a workspace beside the chat for building and revising substantial outputs such as documents, presentations, apps or code. It is better than a long conversation when the deliverable itself needs iterative editing.
Gemini can use supported connected Google apps and can also appear directly in Workspace products, depending on the account, plan, administrator and region. Always confirm the active account and use the narrowest relevant source.
Gemini supports a range of documents, spreadsheets, images, audio, video and other file types, with limits that vary by product and plan. Use a representative sample and request source locations for important findings.
No. The Gemini app is a consumer assistant. Google AI Studio is a developer prototyping environment for testing models, prompts, tools and structured outputs before integrating through the Gemini API.
Do not treat a consumer plan as a production API allowance. Gemini API usage has separate developer pricing, quotas and terms. Confirm the current model and pricing documentation before estimating a build.
Neither is universally better. Gemini is a natural choice for Google context and Google's research, media and developer tools; ChatGPT may fit other general assistant and tool workflows. Compare them against the same real tasks and approval requirements.
Yes, for research planning, source analysis, briefs, outreach preparation, content review and structured data work. It should support expert judgement and quality control, not manufacture evidence, relationships or unreviewed content.
Data handling depends on the product, account type, settings and applicable terms. Do not upload confidential, regulated or client material until the organisation has approved the exact Gemini surface, controls and processing terms.
Review model names, plan prices, limits, availability and product labels at least quarterly, and immediately after a major Google announcement. Stable workflow principles can remain while volatile product facts are dated and rechecked.
GuestPost.UK combines research, editorial quality, authority building and AI-search optimisation around measurable commercial goals. Use Gemini as one controlled component—not as a substitute for strategy, evidence or human accountability.
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