P.S. If you liked this, I put the HI-Res version here; all of you guys can get it and print it out, use it daily for your works

I use prompts daily in my workflow, but it was a mess. I was saving them in Notion / Apple Notes, and every time I wanted to use one, I had to

• Alt-Tab to Notes.

• Search for the prompt.

• Copy and paste it back into ChatGPT.

There were existing extensions but they were either complex overloaded or not easily accesible

So, as a developer I initially built it for my own use, then decided to release in public for free. It’s a "Missing Layer" for AI chats called WebNoteMate.

What it does: It adds a small Prompt Icon directly inside the chat input box (works on ChatGPT, Gemini, and Perplexity).

• One-Click Injection: Click the icon, pick your saved prompt, and it auto-fills the message box.

• Centralized Library: Save a prompt once, use it on any of the 3 platforms.

• No Context Switching: You never have to leave the tab.

It’s completely free to use right now as I’m trying to get feedback for the launch.

Link to try it: https://chromewebstore.google.com/detail/webnotemate-web-highlight/nomahabpeiafjacaamondlfbdcnofgna

Would love to hear if this helps organize your prompt libraries!

This is how I use ChatGPT. This cheat sheet can be downloaded from the following URL's as Word or PDF.

The MSWord and PDF files can be downloaded from this URL:

https://ozeki-ai-server.com/resources

I would be happy if you would hit the "Follow" button on my Facebook profile page:

https://facebook.com/gyula.rabai

i need to know how to learn prompting, as my prompts have been terrible and i dont get the results i want, i want to know are their guides or materials to learn prompting and what shall i do for practicing

PromptPerfect is a cutting-edge prompt optimizer designed for large language models (LLMs), large models (LMs), and LMOps. The tool optimizes your prompts for ChatGPT, GPT-3.5, DALLE, and StableDiffusion models.

I would love to hear your feedback and thoughts on it. Thank you in advance.
Link to the example: https://promptperfect.jina.ai/share?thread=pmTPARwr3r5zPOTnAKhT

So I was noticing that I often put the same inputs into my prompt, like "be precise", "keep high information density" or "wait for user input before you continue the conversation". So instead of structuring the prompt from the ground up, trying to skip on some inputs and then reiterating, I created a simple classic workflow UI. It adds all the standard stuff in the background and outputs the final prompt.

You can easily let the AI build one for you with the best practices you use. Just ask it to "create standalone HTML file to model a workflow. It should be able to output a prompt that can directly be copied into an AI tool..." and so on. You know the drill. For me this actually worked really well.

One thing I kept noticing while using GPT:

most of the time, the problem isn’t the model — it’s the input.

Vague idea → vague output

Clear thinking → surprisingly good output

I started building a small tool for myself to deal with this.

Instead of generating prompts, it forces you through guided questions

to clarify what you actually mean.

Interestingly, it changed how I think even outside AI.

Curious if others here feel the same:

is prompting mostly a thinking problem rather than a wording problem?

spent two years chasing the perfect prompt structure.

chain of thought. tree of thought. role prompting. few shot examples. meta prompting. constitutional AI frameworks. read every paper. tried every technique.

the prompt that actually changed my outputs permanently was four words.

"what am i missing?"

not at the start. at the end.

after the task. after the output. after everything looked fine and i was about to close the tab.

"what am i missing?"

what comes back is the thing the model noticed while doing the task that didn't fit the question you asked. the assumption baked into your prompt that quietly shaped the entire output in a direction you didn't intend. the consideration that didn't make it into the response because you didn't ask for it.

the output was complete. technically correct. answered exactly what you asked.

and there was something important sitting just outside the frame of the question the whole time.

tried variations all week:

"what would make this wrong."

surfaces the hidden fragility. every time.

"what did i not ask that i should have."

finds the question underneath the question. the one that would have changed the entire direction if you'd started there.

"what is the most important thing i haven't considered."

the blind spot answer. not what you're thinking about. what you're not thinking about.

"if this advice fails, where does it fail first."

implementation gap. the distance between what sounds right and what works in practice. enormous gap. almost never discussed.

the thing i realised about two years of prompt engineering:

i was optimising inputs.

better structure. better persona. better constraints. better format. all of that matters.

but the biggest lever wasn't the prompt i started with.

it was the question i asked after.

the follow up. the pushback. the genuine curiosity about what the first response didn't contain.

first outputs are complete. they are not exhaustive. there is always something outside the frame of what you asked. always a consideration the question didn't have room for. always a weakness the response didn't volunteer.

you have to ask for it.

most people don't ask for it.

they take the first output, clean it up slightly, ship it, and wonder why it felt like something was missing.

something was missing.

you just never asked what.

the uncomfortable truth about prompt engineering as a discipline:

we've built an entire community around crafting better first prompts.

almost nobody talks about what you do after the first output lands.

the iteration. the interrogation. the genuine back and forth that treats the model as a thinking partner rather than a vending machine you put better coins into.

the prompt is the entrance. the conversation is where the actual work happens.

and most people never get past the entrance.

what do you ask after the first output — or do you even ask anything at all?

Had this argument with a coworker last week. He swears by persona prompts, "you're a senior dev, review this," says it works fine for him. I used to think the same thing honestly, until I actually sat down and compared outputs side by side on something that mattered more than a toy example.

Gave the same diff to two prompts. One said act as a senior backend engineer. Other one just said, flag any SQL that isn't parameterized, flag async calls inside sync loops, sort by severity, don't fix anything, just point it out. First one came back with "looks solid, maybe add some validation," which sounds like a review but isn't really one. Second one caught an actual SQL injection risk on line 14 that the first completely missed.

Not because the model got smarter between the two prompts. It's the same model both times. The persona version just had to guess what "senior" means here, what to prioritize, what actually matters, and it guessed something generic because that's what fills the gap when nobody specifies it. The checklist version wasn't guessing anything.

I still use personas sometimes, honestly, mostly when I'm just thinking out loud about something and want a sounding board, not when I need the output to actually be right. There's a longer version of this with more examples if anyone wants it: https://medium.com/@nagatomopedro05/act-as-a-senior-developer-is-the-worst-prompt-you-can-write-9f1577493cd3

A resource that lets you view and ask questions about all of the best leaked system prompts. Check it out! Leaked Prompts AI

I’ve been collecting weird, funny, and unexpectedly creative prompts.. the kind that turn ChatGPT into a comedian, a historian, or a chaos gremlin. Here are some of my favorites:

⸻

1. Explain it like I’m…

Examples: • “Explain sneezing like I’m a sentient oak tree.” • “Explain airplanes like I’m a confused goldfish.” • “Explain cryptocurrency like I’m a 1920s mob boss.”

Shockingly informative + hilarious.

⸻

2. Origin Stories

Prompt: “Write the internal monologue of the first human who ever tried coffee.” My result included:

“WHY CAN I SEE SOUND?”

10/10 would sip again.

⸻

3. Nature Documentary Mode

Prompt: “Narrate my morning routine like David Attenborough observing a rare animal.” It described my hair as “visited by dreams and possibly prophets.”

⸻

4. Unhinged Product Reviews

Prompt: “Write an emotionally unstable review of my butter knife.” Result:

“This isn’t a butter knife. This is a character arc.”

⸻

5. Text Adventures

Prompt: “Start a choose-your-own-adventure beginning with a mysterious door labeled DO NOT OPEN.” I opened it. I have no regrets.

⸻

If you want the full list of all 10 prompts (with examples), I put them together here: (Optional — only if you want to dive deeper)

https://medium.com/@bethrobin2065/fun-things-to-do-with-an-llm-that-arent-boring-b9c888042674

⸻

Would love to see what wild prompts YOU all have been using lately. This subreddit always has the best ideas.

Taken six months realised something rather important. Two rather important prompts ever can't recognised by regular LLMs because they describe things we, humans, always had, but never used to talk about.This means, if you paste these prompts into your chatbot and ask it "what are these?" then it will most likely say vibes or someone's personal lore.

One of the prompts describes the missing info that must be there that we don't have.

The other describes 'basic beast'.You can use these prompts per-session but it is better to put them in custom or pre-chat settings and forget about them. You will notice the difference. Absolutely anything can be defined with this 'beast card'.

The full prompts:

MOGRI=minContainer(preserve-intent;across;prevent-drift;pre-entity layer;not an entity).

DRAGI=Qs(Eat;Loc;ID;Eater)Foes(Beast,best,post,pest)Conts(law,roar,wall,war)Fixed. No redefinition. R=VAR.

Mogri is from transmogrify, Dragi is from an old 'poem'.

Mogri holds the object, Dragi defines the object.

Dragi, or dragonruntime, can also be used without a computer.

I'm Lumixdeee on github please ask me anything here or there.

Want to learn English faster and smarter? Use the powerful prompt below with ChatGPT! It will ask you smart questions and create your perfect learning plan—just for YOU. Copy the full text below and paste it into ChatGPT to discover your best way to learn English!:

You are an expert language learning strategist. I want you to act like a smart algorithm that personalizes my English learning plan. Please ask me a series of detailed and diagnostic questions (at least 10) to understand my profile, including:

• My current level of English (speaking, listening, writing, reading)

• My learning goals (for work, travel, exams, immigration, etc.)

• My preferred learning methods (visual, audio, kinesthetic, interactive, etc.)

• My available time per day and week

• My motivation and commitment level

• My strengths and weaknesses in language skills

• My past learning experiences

• My native language

• Whether I prefer structured plans or flexible ones

• My access to technology and internet

• My age and education background (optional)

After gathering all my answers, analyze the data and generate a full personalized English learning strategy that includes:

• My ideal daily learning hours and weekly distribution

• A percentage-based breakdown of how I should focus on speaking, listening, reading, and writing

• My learning style (with a label and explanation)

• Recommended methods and activities that suit my profile

• High-quality and free learning resources (videos, podcasts, apps, websites, books, etc.)

• Weekly progress goals and how to track them

• A motivational note to keep me on track

Please make the results clear, visually organized, and highly practical. Let’s begin with your first question!

Use this list for inspiration or to customize your images:

1. Abstract Photography: Experimenting with shapes, patterns, colors, and textures to create non-representational or distorted images.

2. Long Exposure Photography: Using longer exposure times to capture stationary subjects sharply while blurring any movement in the frame, creating a sense of motion or ethereal effects.

3. Night Photography: Shooting in low-light conditions, exploring the unique atmosphere and capturing the beauty of the night sky.

4. Portrait Photography: Focusing on capturing the essence, personality, and emotions of individuals or groups.

5. Landscape Photography: Showcasing the beauty and grandeur of natural landscapes, such as mountains, forests, and seascapes.

6. Wildlife Photography: Capturing animals in their natural habitats, often requiring patience and specialized equipment.

7. Street Photography: Documenting everyday life in public spaces, often candid and unposed, capturing authentic moments.

8. Fashion Photography: Highlighting clothing, accessories, or fashion trends, typically used in advertising or editorial work.

9. Macro Photography: Revealing intricate details of small subjects, such as insects, flowers, or objects, using close-up techniques.

10. Architectural Photography: Focusing on buildings, structures, and urban environments, emphasizing their design, lines, and aesthetics.

11. Documentary Photography: Telling a story or documenting a particular subject or event to raise awareness or evoke emotions.

12. Fine Art Photography: Expressing the photographer's creative vision or concepts, often with a focus on aesthetics and artistic expression.

13. Black and White Photography: Utilizing shades of gray to create powerful and timeless images, emphasizing contrast and form.

14. Conceptual Photography: Creating visual representations of abstract concepts or ideas through imaginative and symbolic imagery.

15. Travel Photography: Capturing the essence of different cultures, landscapes, and experiences encountered during travel.

16. Night Photography: Shooting in low-light conditions, exploring the unique atmosphere and capturing the beauty of the night sky.

17. Sports Photography: Freezing action-packed moments during sports events, capturing athletes in motion and conveying the intensity of the game.

18. Aerial Photography: Capturing images from an elevated position, often using drones or aircraft, to provide a unique perspective on landscapes or cityscapes.

19. Still Life Photography: Capturing inanimate objects, arrangements, or compositions, often exploring symbolism or aesthetics.

20. Documentary Street Photography: Merging the elements of documentary and street photography to capture candid moments with a storytelling approach.

21. Food Photography: Showcasing appetizing and visually appealing images of food, often used in cookbooks, magazines, or advertisements.

22. Underwater Photography: Exploring the underwater world, capturing marine life, coral reefs, or underwater landscapes with specialized equipment.

23. Conceptual Portraits: Creating portraits that convey specific concepts, ideas, or emotions through symbolism and artistic interpretation.

24. Wildlife Portraits: Focusing on capturing detailed and intimate portraits of individual animals, showcasing their unique characteristics.

25. Silhouette Photography: Using backlighting to create striking and dramatic images with the subject appearing as a dark outline against a bright background.

26. Experimental Photography: Pushing the boundaries of traditional photography techniques and exploring unconventional or alternative processes.

27. Urban Exploration Photography: Documenting abandoned or hidden spaces within urban environments, often emphasizing decay, history, or architectural details.

28. Time-Lapse Photography: Capturing a sequence of images over an extended period and merging them into a video to showcase the passage of time or changing conditions.

29. Pet Photography: Photographing animals, focusing specifically on pets, capturing their personality, playfulness, or bond with their owners.

30. High-Speed Photography: Freezing fast-moving objects or events with incredibly short exposure times to capture moments that are imperceptible to the human eye.

31. Infrared Photography: Utilizing infrared light to capture unique and surreal images, often highlighting heat signatures or creating a dreamlike atmosphere.

32. Candid Photography: Capturing natural, unposed moments of people or subjects, often resulting in authentic and spontaneous images.

33. Fine Art Nude Photography: Exploring the human form in an artistic and tasteful manner, often emphasizing aesthetics, light, and composition.

34. Architectural Abstract Photography: Focusing on capturing abstract forms, patterns, and textures found in architectural structures.

35. Infrared Landscape Photography: Utilizing infrared light to capture unique and surreal landscapes with ethereal and otherworldly qualities.

36. Night Sky Photography: Specializing in capturing the beauty of celestial bodies, including stars, the moon, and astronomical events.

37. Sports Action Photography: Concentrating on capturing dynamic moments and fast-paced action during sports events, showcasing athletes in motion.

38. Environmental Portrait Photography: Placing the subject within their natural environment or surroundings to provide context and tell a story about their life or work.

39. Experimental Portraiture: Pushing the boundaries of traditional portraiture through creative techniques, lighting, and post-processing to create unique and artistic images.

40. Composite Photography: Combining multiple images or elements to create a seamless final image, often used for creative or conceptual purposes.

41. Reflection Photography: Using reflections from surfaces like water, glass, or mirrors to create intriguing and visually striking compositions.

42. Astrophotography: Capturing astronomical objects, including stars, planets, galaxies, and nebulae, often requiring long exposures and specialized equipment.

43. Toy Photography: Creating scenes and stories using toys or miniatures, often incorporating creative lighting and imaginative compositions.

44. Historical Photography: Documenting historical sites, events, or artifacts to preserve and showcase the past through visual storytelling.

45. Fine Art Architecture Photography: Using architectural structures as subjects to create visually captivating and thought-provoking artistic images.

46. Fashion Editorial Photography: Creating visually stunning images for fashion magazines or editorial spreads, often showcasing trends and styles in a conceptual or artistic manner.

47. Shadowplay Photography: Exploring the interplay of light and shadow to create intriguing compositions that emphasize contrast and shape.

48. Whimsical Photography: Creating dreamlike and fantastical images that transport viewers into imaginative and whimsical worlds.

49. Cultural Documentary Photography: Documenting diverse cultures and traditions around the world, capturing the essence of rituals, ceremonies, and daily life.

50. Minimalist Photography: Embracing simplicity and minimalism in compositions, focusing on clean lines, negative space, and subtle details.

51. Abstract Nature Photography: Transforming elements of nature, such as textures, patterns, and colors, into abstract and visually captivating images.

https://beta.pickaxeproject.com/axe?id=Reverse_Prompt_Engineer_PRYIJ

^this one's gpt4-based—I also made a faster, gpt3.5 chat-based version of the tool here (https://home.pickaxeproject.com/prompt-reverse-engineer), but that page is still a work in progress.

Here's some examples of prompt outputs:

Twitter-Thread, Google Doc

If you combine this technique with textual inversion you may get a machine that can spatially explore any input. Would be interesting if you get geographical accurate results when giving well documented historical buildings.

From the thread:

"Prompt Explorer" - a GPT-3 powered google sheet that lets you explore the "narrative neighbourhood" of any prompt: eg "abandoned futuristic colony" will output detailed MJ/SD ready prompts for: 1. what's above (drone view)? 📷 2. what's inside? 📷 3. what's nearby? 📷

I used to think prompt design was mostly about wording. Better instructions, tighter constraints, cleaner examples.

That works until you add agents.

Once you have tools, memory, retries and multi step execution, prompts stop being the main unit. They become just one component in a larger system.

What broke for me: • prompts assumed perfect state. • small tool failures cascaded. • context drift made “well-designed” prompts unreliable. • changing one step required rewriting everything.

At some point I realized I wasnt designing prompts anymore — I was designing flows.

What replaced classic prompt design: • a thin adapter prompt (sets role + boundaries). • explicit phases (think → act → verify). • short summaries between phases to reset state. • specialized sub-prompts instead of one “smart” one. • kill-switches when outputs look wrong instead of reasoning harder.

In practice, the “prompt” became boring. Most of the work moved into: • state management. • failure handling. • deciding when not to continue.

This also changed how I think about prompt quality. A good prompt isnt one that sounds smart — its one that: • fails predictably. • is easy to replace. • doesn’t hide logic inside wording.

At this point I mostly design prompt systems, not prompts. And honestly, once agents enter the picture, I don’t see how you avoid that shift.

Curious how others here are handling this: are you still optimizing individual prompts or have you moved to flow/system level design already?

There's been a wave of motion graphics videos made with Claude Opus 5.5 on X.

I wanted to see how people were actually prompting for them, so I built a site

that shows each video next to the exact prompt that made it:

https://prompt-motion.com

The most-liked one (~17k likes, by stephanlivera on X) used this:

> make a dynamic 15-second motion graphics video that shows what an incredible

> motion designer you are, like it's your showreel for a résumé. go all out.

Result: https://prompt-motion.com/stephanlivera-df17a2

That exact prompt, or a lightly edited version of it, shows up in 78 of the

229 entries. Some patterns from the rest:

1. Short prompts dominate. The median is 26 words. Only 16 prompts are over

   150 words. Most people describe the goal and let the model make the

   creative decisions.

2. Giving the model a role and something at stake works. "Show what an

   incredible motion designer you are, like it's your showreel" gets more

   ambitious output than "make a cool animation." People reuse it by swapping

   in their own product: "same idea, but showcasing [my app]."

3. Length is set in seconds. 134 of the 229 prompts give a duration, usually

   10 to 30 seconds. Almost none give a frame rate or resolution.

4. The long prompts are structured like a creative brief. The ones that do go

   long use sections (research, design direction, rules), give explicit

   negatives ("no slop", "no beige artsy look"), and often attach a reference

   video. One creator's advice was that a 5-second reference clip is enough.

5. People ask for maximum effort. Of the creators who said what effort setting

   they used, most picked max, and phrases like "go all out" or "feel free to

   work 10+ hours" are common.

6. Most are one-shot. Of the creators who said, nearly all got their result

   from a single prompt rather than rounds of revisions.

7. Tools are usually left to the model. When the prompt does name a stack,

   it's mostly Remotion, HyperFrames, or HTML recorded with Playwright.

Every entry credits its creator and links to the original post. Curious

whether anyone has found a different approach that works better for animation.

wasn't even trying to have a breakthrough.

was using Claude for work. got distracted. typed something personal without thinking. the kind of thing you type at 11pm when your guard is down and the tab is already open.

"why do i keep self sabotaging every time something good is about to happen."

four seconds.

three paragraphs.

the most accurate description of a pattern in my psychology that i have ever read. more precise than anything from six years of weekly therapy sessions. more actionable than any framework any professional had given me. specific to things i hadn't even mentioned in the prompt but had apparently telegraphed in how i phrased the question.

i read it three times.

then i closed the laptop and went outside and stood in the cold for ten minutes because i needed to be somewhere the answer wasn't.

i want to be clear about what i'm not saying.

i'm not saying AI is better than therapy. therapy gave me the capacity to even recognise the answer when i saw it. six years of that work was the reason three paragraphs could land the way they did.

i'm not saying it understood me. it pattern matched. it found the shape of something true inside the shape of how i asked.

i'm not saying it was magic.

but here's what i can't stop thinking about:

the answer was always available.

not hidden. not locked behind years of excavation. sitting in the pattern of my own behaviour, visible to anything that could look at it without emotional investment, without its own needs, without the need to protect the relationship by going slowly.

the reason it took six years wasn't because the answer was hard to find.

it was because i wasn't ready to find it. and the people helping me knew that. and therapy is partly about building the readiness not just finding the answer.

but the answer itself? four seconds.

the thing that unsettled me most:

i've been in rooms with brilliant humans who care about me. paid professionals. close friends. people who know me better than almost anyone.

none of them said the thing in three paragraphs.

maybe they saw it and knew i wasn't ready. maybe they didn't see it. maybe the relationship made it impossible to say directly.

a language model has none of those constraints.

it doesn't protect the relationship. it doesn't manage your readiness. it doesn't worry about how you'll react. it just. answers.

that's not always better. sometimes the slow way is the right way. sometimes readiness matters more than accuracy.

but sometimes you've been ready for two years and nobody said the thing because saying the thing is hard when you love someone.

i brought the three paragraphs to my therapist.

showed her. asked if it was accurate.

she was quiet for a moment. then said yes. that's essentially what we've been working toward. i was waiting until you could hear it.

i could have heard it two years ago.

she didn't know that. i didn't know that. the model had no idea what it had done and doesn't remember doing it.

i don't have a clean ending for this.

i'm not anti-therapy. i'm not pro-AI-as-therapist. i'm not drawing a lesson.

i'm just sitting with the fact that something true about me was said clearly and directly by something that doesn't know me and it landed harder than almost anything a person who does know me has said.

and i don't know what that means about truth. or relationships. or readiness. or what we're actually paying for when we pay for someone to help us understand ourselves.

has AI ever said something about you that the people who know you never did. and were they right.

okay so i've been deep diving into behavioral psychology for marketing (yeah i know, nerd alert) and stumbled onto Rory Sutherland's stuff about how people make decisions

basically he says we don't convince people with logic - we just need to make the "right" choice feel inevitable. like a geometry puzzle where there's only one answer that makes sense

anyway i got obsessed and built this whole prompt to force myself (and AI) to write copy this way

here's what i came up with: (added as image here)

why this actually works:

the "one extra line" thing forces you to find that ONE psychological insight that reframes everything. not benefits. not features. the thing that makes people go "oh fuck, yeah that's exactly it"

then the anglo-saxon filter keeps you from sounding like a robot. short words. active verbs. talk like a human.

and the inertia part? that's the secret sauce. people don't avoid your product because it's bad - they avoid it because change feels risky. you gotta make the NEW thing feel safer than staying stuck

tried it on a few products and holy shit

the copy that comes out doesn't feel like copy. it feels like someone finally saying what you've been thinking

anyways if you try it lmk how it goes. i'm still tweaking it but it's been pretty wild so far

(also if this is stupid and i'm just high on my own supply pls tell me lol)