Learn prompt engineering, discover AI tools, and stay ahead of the curve with expert guides and tutorials.
Anthropic, Google and OpenAI all shipped in 72 hours. What launched, what our daily benchmark snapshots already show, and why tiered access is the new frontier pattern.
A data-grounded guide to the best Wan 2.1 video prompts on Wikiprompt: what the open-source model does well, the prompt patterns that work, and 10 templates to steal.
Wikiprompt crossed 100,000 active prompts: 1,053 models, 3 documented eras of prompting, 449k translations, all attributed and downloadable as open data.
DiffusionDB lands on Wikiprompt: thousands of real August-2022 prompts with their images AND exact generation parameters - seed, steps, CFG and sampler. The catalog timeline now starts where open image generation began.
Wikiprompt absorbed the LAION DALL-E 3 Discord archive (CC0): 15,327 dated prompts from 2023-2024 that show how differently we prompted before the photorealism era.
Weekly frozen photo of six LLM leaderboards: Opus 5 max takes the text arena, Fable 5 holds LiveBench, gpt-5 keeps Aider coding, and the sources still disagree.
12 top-scoring Grok Imagine prompts from wikiprompt's catalog, covering cinematic portraits, fire and water effects, and emotional-contrast video clips, plus the recipe behind why they work.
The top-rated Seedance 2.5 prompts: character consistency, handheld and bodycam textures, and reusable commercial templates.
The top-rated Kling prompts and the patterns behind them: camera-first prompting, single transformation arcs, and weather as the antagonist.
The top-rated Veo 3 prompts and the patterns behind them: one continuous shot, physics as protagonist, and prompting the audio alongside the image.
Nano Banana and Nano Banana Pro are Google's fast-rising image models. We pulled the best Nano Banana prompts on Wikiprompt and the patterns behind them.
The top-rated Seedance 2.0 video prompts and the storyboard grammar behind them: timed beats, one camera move per segment, and cinematic action that actually cuts together.
The top-rated Stable Diffusion prompts on the encyclopedia and the patterns behind them: style stacking, neonpunk aesthetics, and the light tokens that carry a render.
We ranked Wikiprompt's highest-scoring Midjourney prompts and broke down what separates a striking image prompt from a forgettable one, from lighting language to material specificity.
Grok's top prompts are workhorses: sourced research protocols, marketing strategy engines, RPG tutors and X-thread writers. The best of 600+, with the patterns that make Grok respond well.
The gauntlet loop is the evaluator-optimizer pattern with three hardenings: the world replaces the rubric, a blind pick replaces scores, winning replaces round budgets.
What /loop and ultracode actually do in the original prompt, the minimal Claude Code setup, and the plain-words port for any other agent.
The essential gauntlet prompts in the catalog: the original Claude of Duty three-paragrapher, the reusable template, and what makes a community find worth saving.
Same model, same goal, very different output. Where the gauntlet's edge mechanically comes from, what it costs, and a practical rule for when to use each.
Vague bars, self-grading builders, soft critics, fixed round counts and pieces too big to judge: the five predictable failures and their fixes.
Three deliberate choices keep a gauntlet honest: a critic with fresh context, a binary pick instead of a score, and a bar that is a real thing instead of words.
Nothing in the gauntlet loop is about games or code. Essays against a named writer, pages against a competitor screenshot, research against an analyst note.
The five slots of a gauntlet prompt: goal, named fetchable bar, split, builder plus separate critic, earned exit. With a worked 120-word example.
Matt Shumer's Claude of Duty prompt is barely 150 words. Every line is load-bearing. Here is what each one does and what to steal.
Builder sub-agents, a separate harsh critic, a real quality bar and an earned exit: the anatomy of the prompt pattern that produced a 55,000-line browser FPS.
The first weekly photo of the LLM leaderboards: LMArena, LiveBench, BenchLM and Aider, frozen on one citable page. Anthropic sweeps three podiums; GPT-5 keeps the coding crown.
Wikiprompt now tracks LLM leaderboards across ten arenas, snapshotted daily so ranking changes stay on the record. Sourced from LMArena and OpenRouter, cited like Wikipedia references, in seven languages.
GPT Image is the all-rounder of image models: editorial photography, posters, character sheets and strong identity preservation. Here are the highest-rated prompts our community has shared.
Three Nano Banana variants, more than 7,800 prompts, one question: which do you pick? A straight answer grounded in how our community really uses each one.
Nano Banana 2 is the model to reach for when you want real skin, texture and light. Here are the highest-rated prompts our community has shared, plus the patterns that make them work.
Our first open dataset release: 56,637 curated AI prompts on Hugging Face, plus a live API, MCP server and the /dataset endpoint. Free, CC BY-SA, built to be built on.
The highest-rated DALL-E prompts on Wikiprompt, real slugs, real results, from photoreal biblical scale-tricks to claymation renders and brand logos.
The actual top-rated Seedream prompts on Wikiprompt: macro photorealism, classical painterly portraits, cinematic posters, and surreal concepts, with real slugs to browse and concrete tips for writing your own.
The real top-rated Claude prompts on Wikiprompt: system prompts, agent templates, business personas, and meta prompt-engineering, with concrete tips pulled from the patterns.
The real top-rated Flux prompts on Wikiprompt, ranked by quality and wow score: cinematic portraits, surreal composites, analog film looks, and commercial shots, plus tips for writing your own.
The real top-rated Adobe Firefly prompts on Wikiprompt: photoreal macro and food photography, double-exposure composites, stylized dioramas and metaphor-driven product shots, plus tips for writing your own.
The highest-rated ChatGPT prompts on Wikiprompt, real system prompts, research workflows, and role-based templates, picked from actual submissions and broken down by what makes them work.
The real top-rated Runway prompts on Wikiprompt, from cinematic camera moves to VFX text effects, with tips for writing your own.
The real top-rated Nano Banana Pro prompts on Wikiprompt: cinematic rain-lit portraits, Van Gogh and Monet style fusion, storyboard grids, and macro product shots, plus concrete tips for writing your own.
The highest-rated real Gemini prompts on Wikiprompt, from cinematic photoreal portraits and JSON-structured video briefs to vision-to-JSON system prompts, plus what makes each one work.
The real top-rated Hailuo (MiniMax) prompts on Wikiprompt: cinematic brand films, anime fight scenes, seamless macro transitions, and vlog-style shots, plus concrete tips for writing your own.
A guide for researchers, students, and journalists on how to pull the Wikiprompt dataset reproducibly, attribute it correctly, and understand its limits as a curated, evolving, aggregated corpus.
A precise, reference-style walkthrough of the /dataset manifest and /dataset/prompts endpoints: response shapes, every field, keyset pagination, caching, and error handling.
Wikiprompt now offers two machine paths into its 55,000+ prompt catalog: a live MCP server your agent can call at runtime, and a bulk JSON dataset you can index into your own RAG or vector store.
Wikiprompt's public dataset offers over 55,000 real, human-written prompts paired with outputs and quality signal, a different kind of training data than synthetic corpora.
Scraping the wikiprompt search UI is slow, fragile, and hard on our servers. The public bulk dataset gives you all 55,000+ prompts as clean structured JSON, with attribution built in.
A developer walkthrough for building a prompt-search UI, a prompt-of-the-day bot, a browser extension or a Discord bot on top of Wikiprompt's public 55,000+ prompt dataset, with ingest code and attribution notes.
A look at what you can learn by analyzing Wikiprompt's public dataset: which models dominate, how image, video and text prompts differ, and how to run your own analysis on the corpus.
Wikiprompt exposes its catalog three ways: a bulk JSON dataset, a live search API, and an MCP server for AI agents. Here is when to use each, with real examples.
Wikipedia proved that publishing full dumps makes an archive more essential, not less. We applied the same logic to our 55,000+ prompt catalog, and attribution to original authors is the deal that makes it work.
Wikiprompt's public dataset covers 55,000+ image, video, and text prompts across GPT Image, Midjourney, Seedance, Veo, Kling, ChatGPT, and more, each shipped with its actual result media and structured metadata.
A step by step guide to pulling the entire Wikiprompt catalog via the public dataset endpoint, following the keyset pagination cursor until there's nothing left, no scraping required.
Wikiprompt just opened its full catalog as a free, structured, no-key-needed dataset of over 55,000 AI prompts, ready to fetch in one line instead of scraping the site.
A data-driven look at Seedance 2.5 vs 2.0, based on the actual prompts our community submits for each version, to help you pick the right one for your next AI video.
The highest-rated GPT Image 2 prompts on wikiprompt, from collectible posters to forensic-level portrait realism, with a quick recipe for writing your own.
A curated roundup of the strongest Kling video prompts on Wikiprompt, from FPV drone chases to cinematic transformations, with what makes each one work.
A data-driven look at how the Wikiprompt community actually uses Nano Banana and GPT Image, from photoreal portraits to text-heavy compositions, to help you pick the right model for your next prompt.
Prompting is now a real skill, and prompt libraries are everywhere: X threads, Reddit, prompts.chat, faymas, paid marketplaces. Here is the landscape, and why a free, open, aggregated library like Wikiprompt is becoming the primary one.
Portrait, cinematic, shallow depth of field and golden hour are among the most common phrases in our 54,000+ prompt library. Here's what makes a portrait read as cinematic, plus 12 real prompts that nail it.
Twelve real prompts for wordmarks, brand identity sheets, logo renders, and logo-reveal videos, picked from wikiprompt data and ranked by what actually works.
Twelve of the highest-rated Veo 3 prompts on wikiprompt, from macro cinematics to POV chases, plus what makes Veo 3 different and how to structure your own prompt.
Real prompts from wikiprompt for studio-quality product shots, ad campaigns and packaging mockups, no photographer required.
We indexed the whole history of AI prompt-sharing on X. These 10 accounts have shared more high-quality prompts than anyone, led by LudovicCreator with over 3,000. Follow them and browse their full collections.
Paid marketplaces charge a few dollars per prompt. Wikiprompt is a free, open library of 54,000+ AI prompts you can copy, run and remix in one click. Here is how to find exactly what you need.
From Tokyo neon portraits to Mount Fuji travel posters and ramen-shop shorts, here are the best Japan-themed AI prompts on Wikiprompt, across images and video.
Seedance is the most-used AI video model on Wikiprompt. Here are the best Seedance prompts for cinematic shorts, anime action, one-take sequences and vlogs.
We analyzed 447 AI influencer prompts on Wikiprompt to find what separates a scroll-stopping virtual creator from an obvious fake: the patterns, the best prompts, and which model to use for each look.
With more than 54,000 prompts in the library, Wikiprompt is big enough to answer what people actually ask: which AI model is used most, which least, what each is best at, and the words in almost every good prompt.
Master the art of keeping faces consistent across images and scenes with proven prompt patterns, token anchors, and practical examples.
Master prompt writing for learning: define goals, use personas, chain steps, and avoid common pitfalls. Includes templates and examples.
Master AI product photography prompts: lighting, composition, style, and negative prompts. Includes examples and a checklist.
Learn the art of crafting effective Midjourney prompts with concrete techniques, examples, and a checklist to generate stunning AI art every time.
Master prompt templates and variables to create reusable, dynamic AI prompts that save time and improve consistency across projects.
Master prompt writing for Google's Nano Banana and Gemini Image models. Learn structure, style, and iteration with real examples.
Discover the difference between few-shot and zero-shot prompting, when to use each, and how to craft effective examples for better AI outputs.
Master the art of prompting for photorealistic AI images. Learn key techniques, camera specs, lighting, and composition with examples.
Master anime and illustration prompt writing: structure, style descriptors, composition, and examples to generate stunning AI art.
Learn the core principles of prompt engineering with concrete examples, common mistakes, and a practical checklist for better AI outputs.
Learn to craft AI prompts that deliver sharp business strategy and analysis. Includes frameworks, examples, and common pitfalls.
Master prompt engineering for logo and brand design. Learn structure, style, color, and iteration tips with real examples.
Learn to craft effective system prompts for AI agents: structure, tone, constraints, examples, and common pitfalls.
Master the art of crafting cinematic portrait prompts for AI image generators. Learn lighting, lens, mood, and composition techniques with examples.
Master prompt engineering for coding and debugging. Learn to write precise, context-rich prompts that get better AI-generated code and faster bug fixes.
Learn to craft AI prompts that produce high-converting marketing copy and ads. Includes frameworks, examples, and common pitfalls to avoid.
Master ChatGPT prompting with clear steps, examples, and common pitfalls. Learn to write prompts that get precise, useful answers every time.
Master Claude prompting with clear instructions, examples, and structure. Learn techniques, see sample prompts, and avoid common mistakes.
Master AI image prompts with concrete techniques, examples, and a checklist. Learn to describe subjects, style, lighting, and composition for stunning results.
Master the art of prompting AI video generators like Sora, Veo, and Seedance. Learn structure, motion, camera, and style techniques with examples.
A prompt is the single most underrated variable in AI output quality. Here's what makes a good one, the main prompt types worth knowing, and how to find real working examples on wikiprompt.
Connect Claude, Cursor or any MCP client to 900+ curated prompts with our new MCP server at mcp.wikiprompt.org, or teach claude.ai the catalog with the downloadable Skill.
Discover the complete etymology and evolution of the word "prompt" - from its Latin roots to becoming the most important term in the AI era.
Master prompt injection attacks and defenses. Learn how attackers exploit AI systems and how to protect your applications with proven security techniques.
Master the art of financial prompts. Learn to create prompts that help with analysis, investments, budgets, and more.
Learn how to use and create custom GPTs to supercharge your ChatGPT experience.
Learn about prompt injection attacks and how to protect your AI-powered applications.
From Jasper to Copy.ai, we compare every major AI writing tool to help you choose.
Turn your prompt engineering skills into a profitable side hustle or full-time income.
Free, unlimited AI image generation on your own computer. Step-by-step instructions for Windows, Mac, and Linux.
Learn how to use AI tools to 10x your content production without sacrificing quality.
Supercharge your coding workflow with these battle-tested prompts for debugging, refactoring, and documentation.
Anthropic's Claude and OpenAI's ChatGPT battle for AI supremacy. We compare capabilities, safety, and performance.
Learn how to use negative prompts to dramatically improve your AI image generation results.
Prompt engineering is the hottest new career in tech. Learn how to break into this field and command top salaries.
Discover the game-changing features of Midjourney V6 and learn how to create stunning AI art with the latest model.
Learn the secrets behind crafting prompts that get incredible results from ChatGPT. From basic techniques to advanced strategies.
Navigate the ethical challenges of AI with this comprehensive guide to responsible prompt engineering.
Connect AI tools to automate your work without writing a single line of code.
Everything you need to know about AI voice synthesis and cloning technology.
Sora is changing everything about video creation. Here's what you need to know.
Master photorealistic AI image generation with these professional photography prompts.
A comprehensive comparison of the two leading AI image generators. We analyze quality, features, pricing, and use cases.
What's next for artificial intelligence? Expert predictions on the technology shaping our future.
Ready-to-use prompts for marketing, sales, HR, finance, and operations.
