1328 hand-tested AI prompts across image, video, and music — each with full context, variables, and a sample output. Content is authored in Traditional Chinese; the UI here is English.
Produces 4K e-commerce product shots without a physical studio: material words (matte finish, brushed texture) plus lighting description (softbox, fill light, shadow) are the key to a premium look. Good for listing images and homepage hero shots; fix small flaws with follow-up chat rather than regenerating.
Nail down the main copy, discount numbers, and CTA button placement for a promo banner one by one, then lock the wording with quotes to produce a banner ready to publish. Great for e-commerce sales events and social ads — swap three variables to reuse it repeatedly.
Write your Instagram account's visual rules out as a text-based design system, then generate images continuously in the same conversation so every post looks like it came from the same account. Great for personal branding and social scheduling; if the style starts drifting, just repaste the design-system paragraph to pull it back in line.
No masks, no selection tools — just describe in plain language what to change. This prompt is built around the key declaration 'change only this one thing, keep everything else the same,' and the same sentence pattern covers changing backgrounds, removing passersby, or swapping outfits. If a result isn't quite right, just add another line to the same conversation instead of regenerating from scratch — much faster than starting over.
Upload a person photo, a product photo, and a scene photo separately, and clearly specify in the prompt who is the subject, what object is being placed, and what serves as the environment, compositing them into a commercial-looking shot that reads as if it were actually photographed. The key is a declaration for unified lighting and undistorted product labels — great for small e-commerce sellers who can't afford a real model shoot.
The biggest fear when making brand character posts, picture-book pages, or a social series is the character changing by the second image. This prompt separates 'locked' elements from 'variable' ones: the face, fixed features, and style stay locked while only the pose and setting change per image. Generate one image at a time, reusing the same opening instructions, to keep the whole series stable.
When a brand or club needs a mascot IP, what's actually needed isn't a single cute image but a character reference sheet with front, side, and back views laid out together. This prompt locks down the layout requirements for cross-angle consistency, standing pose, and an expression-variation zone, producing a sheet you can use as the reference for every generation that follows.
To generate a street scene that unmistakably reads as Taiwan, the key isn't writing 'Taiwan' — it's naming local elements like covered arcade walkways, scooters, overhead wires, and Traditional Chinese shop signs, then locking the sign text in quotes to prevent typos. Good for localized editorial imagery, presentation scenes, and social media backgrounds.
Tell the model that an image 'will be used on a menu,' and it infers the professional requirements of commercial food photography on its own — an underused piece of official guidance rarely taught in Chinese-language content. The prompt builds in a 45-degree menu-style angle, blank space reserved for copy, and texture-detail declarations; it works for both small eateries and delivery-platform product photos.
Turn a phone selfie into a formal headshot: swap in a solid-color background, formal attire, a front-facing pose, and even lighting, while a preservation clause locks down the facial features so you don't get beautified into someone else. Good for resumes, employee badges, and LinkedIn avatars; most official ID documents require an unretouched real photo, so weigh the risk of rejection honestly before using this for that purpose.
Turn a stretch of story into a single multi-panel manga page: panel choices follow the story's rhythm, there's an emotional arc from panel to panel, characters stay consistent across panels, and dialogue is locked in quotes for accurate Traditional Chinese. It tests consistency, layout, and in-image text all at once — an advanced, all-in-one challenge for Nano Banana Pro.
This doesn't write your resume — it audits one. It flags sentences that read like AI wrote them, uses pointed follow-up questions to force you to back up vague claims with real numbers, then gives a before-and-after rewrite example plus a personal banned-words list. Use it as the last check before you submit.
A turn-based mock interview: the interviewer asks scenario-based questions tailored to your industry, one at a time, follows up on your answer before giving feedback, and provides a speakable English version of the answer for each question. After eight questions, you get an overall hiring-likelihood assessment. Closer to a real interview than just reading past questions.
Nine times out of ten, asking AI for a formula fails because it doesn't know what your table actually looks like. This template gives you a fill-in-the-blanks format for describing your column structure; the formula you get back comes with a step-by-step breakdown, a 5-row mini sample table, and two common gotchas flagged, with both legacy and modern function syntax provided.
Generates the same email in three versions — formal, neutral, and friendly — each with a subject line, followed by a breakdown of "why it's worded this way." Especially useful for high-stakes emails like follow-ups, declines, apologies, and reporting up the chain — firm without burning the bridge.
Turn messy source material like meeting notes and report paragraphs into a slide outline formatted 'one point per page, separated by ---,' ready to paste straight into Gamma or Canva AI to produce a deck. Page titles are forced into statements of insight rather than labels, the conclusion goes on page two, and it comes with a 30-second opening script.
Use this right after any speech-to-text tool: paste the transcript and get a formal record, a list of decisions, an action-item table with "Owner/Deadline/Dependencies," and a 3-line summary for people who missed the meeting. It handles transcription typos and mixed Chinese-English text, flags any deadline that wasn't actually stated as "to be confirmed," and doesn't make things up.
Dump in a raw, whatever-you-jotted-down log of the week and get back a weekly report where results are quantified, blockers come with proposed solutions, and next week's plan is aligned to what your manager actually cares about. Scattered small tasks get merged automatically, slipping progress can't be hidden, and support requests are framed as needs — with an upward-management perspective built in.
For a boss's urgent demands, pushback, or last-minute extra work, this first diagnoses what they actually need (reassurance? a scapegoat? just an update?), then gives short, full, and escalation-ready reply options with risk notes for each. Built-in red-line check: it refuses goals that would require lying and offers an honest alternative instead.
The worst part of writing a year-end self-review is not being able to remember what you did all year, and then having it come out reading like a diary log anyway. This prompt lets you dump in a whole batch of weekly reports, calendar events, or scattered notes, and the AI organizes them into 3-5 achievement themes, fills in quantified phrasing, and aligns everything with company goals to produce a formal self-review. It also includes a "raise negotiation" version you can use directly when discussing salary.
Writing a ten-page proposal your manager doesn't have time to read is the real reason most proposals go nowhere. This prompt organizes your idea into a one-page proposal—problem, solution, expected benefit, resources needed, risks—all kept to a single page, and forces the AI to push back and ask you for missing information from a decision-maker's point of view. Good for situations where you need resources, budget, or headcount from a manager or another department.
Reply to a complaint too formally and you fan the flames; reply too submissively and the company ends up compensating for things it shouldn't. This prompt has the AI act as a senior customer service manager: it first assesses the complaint type and severity, then gives you three responses in one go — sincere apology, firm stance, and a middle-ground version — each with a "why it's written this way" note. Ready to use directly by frontline support staff, social media managers, and shop owners.
Cross-team requests most often stall because "the other side has no obligation to help you." This prompt rewrites your request into a letter written from the other person's point of view: leading with the benefit or minimal burden to them, then stating exactly what you need, with a clear deadline and a fallback plan B. Outputs both a formal and a casual version in one pass, suitable for both email and Slack/Teams messages.
Pulling a report but not knowing how to write the 'so what' is the most common sticking point in data work. This prompt has the AI act as a senior data analyst, interpreting the data you paste in through a three-layer structure—observation, hypothesized cause, recommended action—while forcing a hard distinction between 'conclusions directly supported by the data' and 'speculation that still needs verification,' so you don't get called out in a meeting for over-interpreting.