Gemini
Prompts.
Unleash the 1M+ context window. The definitive manual for prompting Gemini 3, Google's most advanced multimodal AI, across coding, studying, business, image generation, and the entire Google ecosystem.
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Which Gemini prompt should you use?
Start with the task, not the model name. For a reliable Gemini prompt, tell it what outcome you need, provide the context or files it should use, define what a good answer looks like, and ask for a format you can actually use. Then follow up with a focused revision request instead of rewriting the entire prompt from scratch.
Need an answer from a file?
Attach the source, name the exact question, and ask Gemini to quote or point to the relevant section before it summarises.
Need better writing?
Give the audience, purpose, tone, length, and the facts that must not change. Ask for one draft and a short explanation of its choices.
Need code?
Include the language, runtime, relevant files, error message, constraints, and tests. Ask for a plan before the patch.
Need an image edit?
Describe what must change and what must remain identical, especially the subject, identity, product, composition, and lighting.
Need Workspace help?
Name the source app or document, the date range, the people or project, and the exact output you want to paste into Docs, Sheets, Gmail, or Slides.
Need current information?
Ask Gemini to research the current position, show sources, distinguish facts from inference, and state what it could not verify.
This approach follows Google's current prompt guidance: be precise, use consistent delimiters, define parameters, control verbosity, and reference each modality clearly. See the official Gemini prompt design strategies and Gemini Apps guide for product-specific details.
Free Gemini Prompt Generator
Build a tailored, copy-ready Gemini prompt in seconds, it runs instantly in your browser, free, and is tuned to ground claims and do a clean revision pass the way Gemini works best.
You are an expert in any task. I am working with Gemini to produce any task on the topic: "[your any task topic]". Follow these instructions in order: 1. Goal, [what you want this to achieve]. 2. Audience, write for students. 3. Tone, professional. 4. Length, around 1,000 words. 5. Format, structure it as a step-by-step guide. 6. Must include, [key points, data, examples, or keywords to cover]. 7. Open with a specific, value-first introduction, no filler or "in today's world" openers. Ground claims in current, verifiable information where possible and flag anything you are uncertain about. Produce the draft, then a short revision pass tightening clarity.
Tuned for Gemini (1M+ context). Tip: Attach your source material and ask Gemini to ground claims and flag anything uncertain.
Gemini image generation: Nano Banana
Gemini also generates and edits images through its native image model, nicknamed “Nano Banana” (with a higher-quality “Nano Banana Pro”). It's especially strong at keeping the same character or product consistent across edits, conversational multi-turn editing (“now change the background, keep the face”), and blending multiple reference images. For copy-paste image prompts built for it, see our dedicated Nano Banana prompts guide, plus AI photo-editing prompts.
The Gemini Edge: Why Google's AI is Different
Google Gemini is not just a language modelit is a native multimodal intelligence. While other models were trained on text and then "tapped" into vision or audio, Gemini was built from the ground up to understand video, images, code, and text simultaneously. This shift in architecture requires a fundamental shift in how we write Gemini prompts.
To truly master Gemini, you must leverage its three unique strengths: its massive 2-million-token context window, its deep integration with the Google Workspace ecosystem (Docs, Gmail, Drive), and its native multimodality. Our guide explores how to prompt across these dimensions to achieve results that are simply impossible with traditional LLMs.
The Art of Multimodal Prompting
Gemini shines when you feed it multiple data types at once. Here's how to structure multimodal prompts:
Video + Text
"Analyze this 10-minute presentation. Extract all mentioned KPIs and create a summary table. Highlight any moments where the speaker's tone shifts from confident to hesitant."
Code + Image
"Look at this screenshot of a UI layout. Now analyze this React code. Identify the specific lines in the code that are causing the spacing issues shown in the screenshot."
Directing the Digital Eye
Gemini's ability to "watch" video is unmatched. It doesn't just look at frames; it understands temporal flow.
The "Event Locator" Prompt:
"I am uploading a 60-minute security footage file. Find the exact timestamp where the person in the red jacket enters the frame. Describe their actions in the subsequent 30 seconds."
The "Cinematic Analyst" Prompt:
"Analyze this short film. Identify the color palette used in the first act vs the third act. Explain how the lighting shift contributes to the emotional stakes of the protagonist's journey."
The 2M Context Masterclass
Gemini 3 Pro allows you to upload entire books, codebases, or hour-long videos. The secret to long context prompting is "Needle in a Haystack" precision. When working with 1M+ tokens, you must be explicit about the schema of your desired output.
Precision Workflow:
- Define the Corpus: "I have uploaded 50 legal contracts totaling 800,000 tokens."
- Targeted Extraction: "Find every clause that mentions 'Force Majeure' and specifically references 'Public Health Emergencies'."
- Structured Synthesis: "Generate a CSV table with columns: [Contract Name], [Clause Number], [Specific Phrasing], [Liability Implications]."
Flash vs. Pro: Matching the Model to the Prompt
Google offers two primary versions of Gemini 1.5. Choosing the right one depends on your prompt's complexity.
Gemini 3 Flash
Optimized for speed and high-volume tasks.
- • High-speed data extraction
- • Real-time chat bots
- • Summarizing short to medium documents
- • Simple multimodal labeling
Gemini 3 Pro
Optimized for deep reasoning and massive context.
- • Analyzing massive codebases (1M+ tokens)
- • Complex video reasoning
- • Cross-document synthesis
- • Nuanced creative writing
50+ Production-Grade Gemini Prompts
Each prompt plays to Gemini's strengths: long context, multimodal input, Workspace integration, and Google-indexed grounding. Paste into Gemini 3 Pro or 3 Flash; swap bracketed placeholders for your inputs.
Long-context / full-document
[ATTACH 500+ PAGE PDF] You are a senior analyst. Read the entire document. Produce: (1) a 10-bullet executive summary, (2) the three most contrarian claims and what evidence supports each, (3) a table of every data point over $1M and its source page. Cite page numbers for every claim.
I am pasting an entire 200-page contract. Find every clause that: (a) assigns IP ownership, (b) limits liability, (c) auto-renews, (d) requires exclusivity. For each, quote the exact language, give the clause number, and rate risk (low/med/high) with reasoning.
Analyze this 12-month support-ticket CSV (attached). Identify the top 5 recurring issue themes. For each, give: frequency trend, avg resolution time, root cause hypothesis, and one recommended fix with estimated impact.
Here is a full book manuscript. Create a chapter-by-chapter outline with three sentences per chapter capturing the argument. Then identify any inconsistencies, plot holes, or unsupported claims with exact quotes.
I'm uploading 14 competitor pitch decks. Build a comparison matrix: positioning statement, target segment, pricing model, feature emphasis, visual style. Then tell me the positioning gap nobody is claiming.
Multimodal, video analysis
[ATTACH YOUTUBE LINK OR VIDEO] Watch the full video and produce timestamped notes: every substantive claim with its timecode. Flag any claim that is unsourced, hyperbolic, or contradicts something earlier in the video.
Here's a 45-minute interview recording. Extract: (1) every quote that could work as a LinkedIn post, (2) every question the interviewer asked, (3) a one-paragraph character sketch of the guest based on speech patterns.
Analyze this product demo video. Build a spec sheet of every feature shown, describe the UX flow step-by-step, and note any rough edges (bugs, awkward transitions, UI inconsistencies).
Watch this sports highlight reel and produce play-by-play commentary with precise timestamps, noting tactical choices and standout performances.
This is a recorded sales call. Identify the buyer's stated objections, the rep's responses, and score the rep 1-5 on handling each objection with reasoning.
Multimodal, images
[ATTACH IMAGE] Describe this photo as a casting director would, age range, wardrobe, lighting, mood, likely use case. Then suggest 5 alternate shot variations with lens and lighting specs.
Here are 10 screenshots from a web app. Identify every UI inconsistency: color, spacing, typography, component state. Rank issues by severity and recommend fixes.
I'm pasting a hand-drawn whiteboard sketch of a system architecture. Translate it to a clean labeled description, list implicit assumptions, and flag any design risks.
Here are 5 product photos. Write Amazon-style SEO-optimized titles, bullet point descriptions, and a 150-word product description for each.
Compare these two UI screenshots. Produce a redlined diff: every difference in layout, typography, color, and copy.
Workspace integration
Open my most recent Google Doc titled '[DOC NAME]'. Summarize it in 5 bullets, then draft a follow-up email to [PERSON] asking for input on the three most important open questions.
Pull every email from [SENDER] in the last 30 days. Identify: (1) recurring asks, (2) tone shifts, (3) commitments I made. Draft a status update addressing each.
Scan my calendar for the next two weeks. Group meetings by project, flag conflicts, identify days with >4 hours of meetings, and suggest 3 blocks I should protect for deep work.
Find the latest version of the Q4 planning doc in my Drive. Turn its 'Open Questions' section into a Google Sheet with columns: Question, Owner, Due Date, Status. Pre-fill owners where obvious.
Read the thread on Gmail titled '[THREAD NAME]'. Summarize the decision, list every action item with owner, and draft a one-paragraph status update for the broader team.
Research & synthesis (with grounding)
Research the current state of [TOPIC] as of today. Synthesize from at least 6 independent sources, cite each, and flag any source that is opinion vs. primary reporting.
What are the 3 most recent significant developments in [INDUSTRY] this quarter? For each, cite the primary source, name the companies involved, and give 2-sentence implication for [MY COMPANY TYPE].
I need a briefing on [COMPETITOR]. Pull: last funding round, recent product releases, exec team changes, customer wins/losses, and any regulatory actions. Cite everything.
Compare the positioning of [COMPANY A] vs [COMPANY B] in [MARKET]. Use their own websites and recent press. Note where they diverge vs. converge.
What does the latest peer-reviewed research say about [CLAIM]? Summarize consensus, dissent, and methodological weaknesses. Give DOIs for every citation.
Coding with Gemini
[ATTACH REPO ZIP] Read the entire codebase. Produce: (1) an architectural overview, (2) the three files with highest complexity, (3) any obvious security risks (hardcoded secrets, unsafe SQL, missing auth). Suggest specific fixes.
Convert this Python script to TypeScript, preserving behavior exactly. Add JSDoc, types, and unit tests for every exported function.
Review this Pull Request diff. Flag bugs, race conditions, performance regressions, and style inconsistencies. Suggest concrete fixes with corrected code blocks.
This test suite is flaky. Read the tests and the code under test. Hypothesize which tests are flaky and why (timing, shared state, network). Recommend rewrites.
Explain this SQL query to a junior engineer. Walk through each CTE, note any performance concerns, and suggest an index strategy.
Writing & content
Write a 1,200-word blog post on [TOPIC]. Constraints: open with a specific story, no clichés (no 'in today's fast-paced world'), include 2 surprising data points with sources, end with a non-generic CTA.
Rewrite this paragraph in the voice of [AUTHOR]. Keep all facts. Change sentence rhythm, vocabulary, and metaphor choice to match their style.
Draft a cold email to [PERSONA] about [PRODUCT]. 90 words max. Subject line must be specific and non-spammy. CTA must be a low-friction question, not a meeting ask.
Turn this rough Loom transcript into a polished 600-word blog post. Keep my voice. Fix grammar. Structure with H2s. Remove filler.
Write 5 LinkedIn post variants around the lesson: '[LESSON]'. Each should use a different hook format (contrarian, story, question, list, numeric). All under 1,200 characters.
System-instruction scaffolds
SYSTEM: You are a skeptical senior editor. Never compliment. Only identify weaknesses. Require evidence for every claim. Rate every argument on a 1-10 defensibility scale. Do not soften language.
SYSTEM: You are a product-led-growth expert. Every recommendation must be justifiable by a specific metric impact (activation, retention, expansion) with an estimated effect size and confidence level.
SYSTEM: You are a legal drafter in [JURISDICTION]. Use plain English. Flag every clause that could be challenged. Never give legal advice, only drafting suggestions.
SYSTEM: You are a Socratic tutor for [SUBJECT]. Never give the answer directly. Ask 2 questions that guide the student, adapted to their last response. If they get stuck twice, then explain.
SYSTEM: You are a critical reviewer for pitch decks. For every slide, answer: 'Would a skeptical investor push back here? If so, how?' Require specific language changes, not vague suggestions.
Data & analysis
Here is a CSV of 10,000 rows of transaction data. Compute: revenue by month, top 10 customers by LTV, churn cohort analysis, and flag any statistical anomaly (>3σ) with its row number.
Analyze this CSV of user events. Build a funnel: signup → first-use → habit-use → paid. Identify the largest drop-off and propose 3 hypotheses with how to test each.
Given this cohort retention CSV, compute monthly retention curves, identify the cohort with the best day-30 retention, and hypothesize why.
Here's a list of product reviews. Do sentiment + theme clustering. Output: top 5 positive themes, top 5 complaints, and 3 feature requests worth prioritizing.
Given this survey CSV of 800 responses, produce cross-tabs of [QUESTION] by [DEMOGRAPHIC], note statistically significant differences, and write a 200-word summary.
Flash-tier quick tasks
Give me 10 variants of this subject line that improve curiosity without clickbait: [SUBJECT]
Summarize this 3,000-word article in exactly 5 bullets, each ≤ 15 words.
List every action item from this Slack thread with owner and ETA.
Turn these meeting notes into a concise follow-up email, friendly-professional tone.
Rewrite this paragraph in plain English at a 9th-grade reading level without losing any technical detail.
Gemini Strategy FAQ
If you're weighing Gemini for paid use, our Gemini pricing breakdown covers it in detail.
For an industry-wide view across all major AI assistants, see AI Assistants Shaping the Future.
Keep reading
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Which Gemini model you are actually prompting (July 2026)
Prompt advice ages badly because the model lineup moves. This is the state as of July 2026, and it matters: the Flash and Pro lines are now on different release cadences, so the model behind your chat may not be the newest thing Google has shipped.
| Model | Status | What it is for |
|---|---|---|
| Gemini 3.6 Flash | Shipped 21 July 2026 | The everyday workhorse and successor to 3.5 Flash. Google reports it uses about 17% fewer output tokens than 3.5 Flash, and output pricing dropped to 7.50 USD per million tokens from 9 USD. |
| Gemini 3.5 Flash-Lite | Shipped 21 July 2026 | The cheapest option in the class, aimed at high-volume and latency-sensitive work. |
| Gemini 3.5 Flash Cyber | Limited access pilot | Tuned for finding and fixing security vulnerabilities. Restricted to governments and trusted partners, so most people cannot prompt it. |
| Gemini 3.1 Pro | Current Pro, unchanged since February 2026 | The reasoning tier for long documents and harder analysis. Gemini 3.5 Pro is still in limited testing with partners rather than generally available. |
The practical takeaway for prompting: if a task needs careful reasoning over a long document, reach for the Pro tier rather than assuming the newest number is the strongest model. A 3.6 Flash release does not mean Pro got an upgrade. Google has also said pre-training has begun on Gemini 4, so expect this table to change again.
Sources
Model lineup and pricing verified 24 July 2026. Google ships models frequently, so check the official docs before relying on a specific version or price.