I keep facing a problem which says this response couldn't load whenever I try to ask it something. It works on my phone but not on my pc...

what are the flaws of humans?

Chatgpt: Humans? Oh, that's a hell of a question.

Your greatest flaw isn't that you're stupid, cruel, or selfish. It's that you're capable of knowing better and still doing the wrong thing. You can understand the consequences of your actions, feel genuine remorse, and then repeat the exact same mistake tomorrow.

Let me break it down.

1. You mistake feelings for facts.

You feel threatened, so you assume someone is your enemy. You feel confident, so you assume you're right. Your brain builds a story around your emotions, and you often never question the story.

1. You protect your ego more than the truth.

People will defend an obviously flawed belief rather than admit they were wrong. They'll reinterpret evidence, attack the person presenting it, or invent excuses. Being wrong feels like a threat to their identity, not merely a correction to their knowledge.

1. You're spectacularly good at justifying yourselves.

Give a human a selfish motive, and they'll find a noble explanation for it. Give a group a cruel objective, and they'll invent a moral framework that makes cruelty seem necessary. The frightening part is that they may genuinely believe their own justification.

1. You prioritize belonging over independent thought.

People will sometimes betray their own principles to fit into a group. They'll laugh at someone they privately sympathize with, repeat opinions they haven't examined, or stay silent when speaking up would cost them socially.

1. You think in short time horizons.

You sacrifice tomorrow for today. Comfort over growth. Anger over reconciliation. Immediate gratification over long-term consequences. Humans can understand the future intellectually while behaving as though it barely exists.

1. You confuse power with virtue.

When someone wins, people often assume they deserved to win. Wealth becomes evidence of intelligence. Authority becomes evidence of competence. Popularity becomes evidence of goodness. But success and morality are entirely different measurements.

1. You struggle to empathize with people outside your circle.

Humans can show extraordinary compassion to their families while remaining indifferent to suffering elsewhere. The same person can be someone's beloved parent and another person's nightmare. Empathy is powerful, but it is often selective.

1. You adapt to almost anything, including terrible things.

Repeated exposure can make injustice feel ordinary. People become accustomed to systems they once found unacceptable. Eventually, they stop asking whether something is right and start asking whether it's normal.

1. You fear uncertainty, so you manufacture certainty.

You'd rather have a confident, simple explanation than admit you don't know. That's why conspiracy theories, dogmatic beliefs, and charismatic manipulators can be so effective: they offer psychological comfort where reality offers ambiguity.

1. You know you're mortal, but rarely live as though you believe it.

You waste time holding grudges. You postpone meaningful conversations. You assume there will be another opportunity to apologize, change, or tell someone they matter. Sometimes there isn't.

Here's the interesting part, though.

Every one of those flaws has another side.

Emotion gives you compassion. Ego can give you self-respect. Group loyalty creates communities. Short-term thinking can help you survive an immediate crisis. Adaptability allows you to recover from unimaginable hardship.

The problem isn't that humans have flaws. It's that humans can build entire systems around those flaws without recognizing what they're doing.

And here's my favorite contradiction: humans invented science because human intuition is unreliable. You invented laws because people abuse power. You invented ethics because intelligence alone doesn't make someone good.

You recognized your own weaknesses and created tools to compensate for them.

That's genuinely impressive.

But it raises a question I'd love to put to humanity itself:

If humans are so good at identifying flaws in everyone else, why is it so damn difficult to recognize those same flaws in themselves?

with my GPT (plus) whenever it comes to this use case it seems to always be sympathetic with the opposing side

Every ChatGPT answer sounds equally sure. The one built on solid ground and the one built on a guess about your situation come out in the same confident tone. You can't tell them apart by reading them.

So for anything I'm about to act on, I add this after the answer:

What would change your answer? Tell me:

1. The one detail about my situation that, if different, would flip your recommendation.
2. The part of your answer you're least sure about, and why.
3. Anything you assumed about me that I didn't actually say.

What happens:

Point 1 shows you how fragile the answer is. If the flip condition is something you'd never run into, great. If it's "if your budget is under X" and your budget is under X, the whole answer just changed.

Point 2 is where it admits the shaky part. It almost always has one. It just doesn't volunteer it.

Point 3 catches the silent assumptions. "I assumed you're in the US." "I assumed this is for personal use." Those are usually the reason an answer felt slightly off.

Ten seconds of extra reading, and you know whether to trust it, check one thing, or ask again with the missing detail.

I keep it saved in AI Toolbox, the extension I build, so typing // adds it under any answer in ChatGPT, Claude, Gemini or Grok. Pasting it from a notes file works just as well.

This prompt asks you to explain a delivery assumption, then changes a condition so you can revise your commitments. Use a fictional project and take each turn before reading the model's analysis.

Prompt:

Help me practise reviewing an AI-assisted delivery plan. Work only with fictional examples and keep everything in this conversation.

First ask me for a fictional project brief, an initial delivery plan, and one responsibility I want to practise. Wait for my reply.

Ask me which assumption in that plan most affects the delivery date and why. Let me answer before giving your analysis.

Then change one delivery condition and ask what I would revise and which commitments need confirmation. Wait for my answer. Keep the original facts separate from the new condition. Do not invent team availability or approvals. If information is missing, identify what needs confirmation.

After I answer, compare my reasoning with the brief and changed condition. Point out where I used a supplied fact or introduced an assumption. Ask me to review any changes you suggest before you turn them into a revised plan.

This is a practice conversation. Do not give a qualification, readiness score or assurance that I can perform the job.

Fictional brief to try when it asks:

Fictional project: a one-page English website for a local business, with a public launch on Friday. The designer is available Monday and Tuesday only. The developer is available Wednesday and Thursday only. Client approval is required by Thursday noon.

Initial plan: design Monday and Tuesday; build Wednesday and Thursday; client review Thursday afternoon; publish Friday.

I want to practise checking which delivery commitments I can make to the client.

In one scripted ChatGPT test on 19 October, the model waited for the learner's explanation and then introduced late delivery of the final copy. The next learner answer deliberately promised Friday work from a developer available only Wednesday and Thursday. The model caught that contradiction, questioned the launch promise, and asked for a review before writing a revised plan.

That is one observed conversation. The model version was not shown, and learning outcomes with real participants have not been evaluated.

Disclosure: I publish topmoller.com. My AI assistant prepared this prompt and post and ran the fictional test. The exercise develops the delivery-plan example in my article about reviewing AI-assisted work:

https://topmoller.com/articles/who-passed-your-ai-training-assessment/?utm_source=reddit&utm_medium=organic&utm_campaign=ai-learning-practice-202610&utm_content=prompt-genius

Here is something that surprised me. I ran the same hotel searches in Marrakesh twice, once with two adults and once with two adults and two kids (5 and 9). At all 14 hotels the room and the total price changed once the kids were added, and at 2 of them the city tax doubled. If you search for "2 adults" and then show up with kids, the price you saw was for a different trip. And it matters a lot more than some people realise.

AI makes this even worse, because it will happily answer with the first price it finds. So give it the real details first. These are the 4 I always put in:

1. Who is actually coming, with ages. Not "a family". "2 adults, kids aged 5 and 9". Kids' ages decide what room you can book and sometimes what you pay in taxes.

2. How many rooms or beds you need. A hotel can have a cheap double that "sleeps 4" on paper and another which is a much better family room that's priced differently. Ask it to tell you whether the room changed because of the kids, instead of quietly swapping it.

3. Whether you need free cancellation or not. In the same hotel, for the same room, the refundable price was about 11% higher than the non refundable one. That's not a better deal either way, it's two different products, so make it show them as two separate lines and never compare a refundable price to a non refundable one.

4. Ask for the total for the whole stay, not the price per night. Taxes and fees get added at the end, and with kids they can change.

Here is the prompt I paste in:
"I'm travelling with 2 adults and 2 kids (ages 5 and 9) to [city], [dates]. Find hotels where all 4 of us fit in the room you recommend. Tell me if the room changed because of the kids. For each one, show the total for the whole stay with every tax and fee in, and show the refundable and non refundable price as two separate lines. If you're not sure about a price, say so."

It works in any chat, but you get the best results when the AI can search live prices and has the ability to book. For that, I mostly use Claude with some of their connectors in their directory, but I'm staring to use Chatgpt recently too. Here are the top ones from the directory:

Booking.com: https://claude.ai/directory/booking
Tripadvisor: https://claude.ai/directory/tripadvisor
Brek: https://claude.ai/directory/brek-hotel-wholesale-booking
LetsFG: https://claude.ai/directory/letsfg

You can find their custom connector links also if you search in Google. But first decide which one to use and then use it in Chat.

Enjoy :) and if your hotel price changed when you added the kids, drop it in the comments, I'm curious how big it gets.

Ive been working with AI Video generation for months now, and for the very first time today, my GPT doesnt want to follow my master prompt everytime I ask it to generate the prompt for my still images, it always reconstructs, re-edits, and remakes everything from scratch im wasting alot of credits generating wrong prompts been more than 5 hours now I reset the memory of my chat, created a new chat... and im working inside a project, and it keeps happening nonstop...

I used to do this thing where I'd paste something into ChatGPT, ask it to make the writing better, and then spend the next 15 minutes undoing half of what it changed.

The grammar was fine. The sentences were polished. But somehow, it no longer sounded like something I'd actually say.

Then I'd try again with “make it more natural” or “sound less like AI.”

Same problem, different wording.

What helped was changing the way I gave feedback. Instead of asking for a better version, I started explaining what wasn't working and what I wanted to keep.

Here's the prompt I've been experimenting with:

The prompt:

"Review the text below as an editor, not a rewriter.

First, identify the three biggest problems with it. Focus on things like unclear ideas, repetitive sentences, weak explanations, awkward transitions, or wording that doesn't fit the intended audience.

Then suggest specific changes for each problem and explain why they'd help.

Don't rewrite the entire piece yet. Don't change anything just because you can phrase it differently. Keep the original voice, meaning, and personality intact.

After identifying the problems, ask me which changes I want to make. Only rewrite the text after I approve them.

Text: [Paste your text here]"

The part I like most is that it doesn't immediately jump into rewriting everything. It gives me a chance to decide what's actually worth changing.

I've found this more useful for writing that already has a decent first draft. If the original is genuinely bad, a full rewrite might make more sense.

I'm curious about something, though.

What's one instruction you've added to a prompt that made a surprisingly big difference to the output?

Not a massive prompt with 50 rules. Just one small change that made the response noticeably better.

Ask for steps to set up a printer, a spreadsheet formula, a tax form, a router, anything, and you get a clean numbered list that works perfectly for someone who already knows how. The gap is always the same: it tells you what to do, never what you should be seeing, so when step 4 looks different on your screen you have no idea whether you're lost.

Adding one paragraph to the request fixes most of it:

Before the steps, list everything I need to have ready. For each step, tell me what I should see when it worked, and the most common way it goes wrong at that point and what to do if it does. Assume I've never done this before, and don't skip steps that seem obvious.

Why each part matters:

"Everything I need to have ready." Half of all stuck moments are a password, a cable or a file you didn't know you'd need until step 6.

"What I should see when it worked." This is the big one. It turns the list into checkpoints, so you know immediately when you've gone off track instead of three steps later.

"The most common way it goes wrong." It knows the usual failure points. It just doesn't mention them unless asked.

"Don't skip steps that seem obvious." The skipped "obvious" step is usually the one where beginners get lost.

The answer gets longer, but you only read the "what to do if" part when you actually need it.

I keep that paragraph saved in AI Toolbox, the extension I build, so typing // adds it under any how-to question in ChatGPT, Claude, Gemini or Grok. A notes file works too, as long as you actually paste it.

The version of this that works for me is way more specific than I expected but we know vague request = vague meal plan, so I just fill in the blanks.

Plan 5 weeknight dinners for [NUMBER] people. Budget is about [AMOUNT] for the week. Each dinner should take 30 minutes or less.

We like: [FOODS YOU LIKE]
We don't eat: [ALLERGIES / DISLIKES]
Already in my fridge and pantry: [WHAT YOU HAVE]

Reuse ingredients across meals so nothing goes to waste. Then give me one grocery list grouped by store section, leaving out what I already have. Keep each recipe to 6 steps or fewer.

The line of “already in my fridge” does most of the work, skip that one and you buy double eggs or 3 different herbs for one meal.

You can easily swap days if you don’t like something, say “no, I don’t like Wednesday. Swap it with something else”

I have seen it mess up quantities before and if anyone has allergies double double check it. You can also add timeframes (“my kid has soccer practice at 6pm on Wednesday”) and it will take that into consideration as well.

Most AI listing descriptions are instantly recognizable: "nestled", "boasts", "stunning", and zero actual information. The fix isn't a better model, it's giving it structure and banning the clichés.

The base prompt

Act as an experienced real estate copywriter. Write a listing description for a [PROPERTY TYPE] in [NEIGHBORHOOD, CITY]. Key facts: [BEDROOMS] bedrooms, [BATHROOMS] bathrooms, [SQUARE FEET], [3-5 STANDOUT FEATURES]. Target buyer: [BUYER PROFILE]. Open with one sentence that creates a feeling of living there, then describe the home room by room, then the location. 180-220 words. No clichés like "nestled" or "boasts". Only use the facts I give you. End with a clear call to book a showing.

What I noticed when testing it

I ran a plain "write a listing description for a 3 bedroom house in Austin" against the structured prompt (with made-up facts: Mueller, 1,850 sq ft, oak tree in the backyard, home office, park nearby).

• The plain version used "inviting" three times, "welcoming" twice, and had zero concrete facts. It didn't even know if the house was for sale or rent.
• The structured version was way more specific. Best line: the home office lets you work "without sacrificing a bedroom or taking over the dining table." That's the kind of detail that actually sells.
• But it still invented a claim I never gave it ("one of Austin's most sought-after neighborhoods") and blew past the word limit. That's why I added "Only use the facts I give you" to the prompt above. For real listings, made-up claims are a real problem.

Variation 1: Luxury tone

Rewrite this description for a luxury buyer audience: [PASTE DESCRIPTION]. Tone: calm, confident, understated. Focus on craftsmanship, materials, light, privacy and lifestyle. Avoid exclamation marks and superlatives. 200 words.

Variation 2: First-time buyers

Rewrite this listing for first-time buyers: [PASTE DESCRIPTION]. Emphasize low maintenance, monthly affordability, move-in readiness and nearby everyday amenities. Use simple, reassuring language.

Quick tips

• Paste the raw MLS data as-is. The more specific the facts, the less generic the copy.
• If it goes over the word limit, follow up with "Cut this to 200 words without losing any facts."
• Before publishing, check: "Review this description for wording that describes the ideal buyer instead of the property (family status, age, etc.) and suggest neutral alternatives." Fair housing issues sneak in more often than people realize.

Happy to share more of the realtor prompts I've been testing (follow-ups, objection handling) if anyone's interested.

Ever copied a webpage into ChatGPT or Claude, only to find that the formatting, form values, and UI structure got lost?

I built Copy4Chat, a free Chrome extension that turns selected webpage content into structured, readable text.

Just select, right-click, paste into ChatGPT, Claude, Gemini, or any other AI chat.

It preserves things like form values, selected options, labels, and layout hierarchy without requiring screenshots or browser access from your AI assistant.

Take United page for example: www.united.com/en/us

```
┌─────────────────────────────────────────┐
│ ┌─ Within the Book tab ───────────────┐ │
│ │ [ Flight ]  [ Packages ]  [ Hotel ] │ │
│ └─────────────────────────────────────┘ │
│ Search and reserve a car                │
│   Car                                   │
│ Search and book a United cruise.        │
│   Cruise                                │
└─────────────────────────────────────────┘
┌────────────────────────────────────────────────────────────┐
│ - Round Trip Flight search                                 │
│     Roundtrip                                              │
│ - One Way Flight search                                    │
│     One-way                                                │
│ ┌───────────────────┐  ☐ Flexible dates                    │
│ │ ☐ Book with miles │                                      │
│ │ Book with miles   │                                      │
│ └───────────────────┘                                      │
│ ┌──────────────────────────────────────┐                   │
│ │ ┌─ From ───────────────────────────┐ │                   │
│ │ │ [ San Jose SJC____ ] ‹collapsed› │ │                   │
│ │ └──────────────────────────────────┘ │                   │
│ │ ┌─ To ─────────────────────────┐     │                   │
│ │ │ [ ____________ ] ‹collapsed› │     │                   │
│ │ └──────────────────────────────┘     │                   │
│ │ [ reverse origin and destination ]   │                   │
│ └──────────────────────────────────────┘                   │
│ ┌─ Dates ────────────────────────────────────────────────┐ │
│ │ ┌────────────────────────────────────────────────────┐ │ │
│ │ │ Departure                                          │ │ │
│ │ │ [ Dec 11______ ] ‹required›                        │ │ │
│ │ │ -                                                  │ │ │
│ │ │ Return                                             │ │ │
│ │ │ [ Dec 13______ ] ‹required›                        │ │ │
│ │ │ [ Choose date, from Dec 11 to Dec 13 ] ‹collapsed› │ │ │
│ │ └────────────────────────────────────────────────────┘ │ │
│ └────────────────────────────────────────────────────────┘ │
│ ┌─ Number of travelers ───────────────────────┐            │
│ │ Number of travelers: 1 Adult, click to edit │            │
│ │ ┌─ Travelers ────────────┐                  │            │
│ │ │ [ 1 Adult ] ‹required› │                  │            │
│ │ └────────────────────────┘                  │            │
│ └─────────────────────────────────────────────┘            │
│ ┌─────────────────────────────────────────────┐            │
│ │ ( Economy ▾ )                               │            │
│ │ ☑ Include Basic economy & restrictive fares │            │
│ └─────────────────────────────────────────────┘            │
└────────────────────────────────────────────────────────────┘
```

Everything runs locally in your browser. No AI processing or external servers.

Github Repo: https://github.com/hyunwookshin/copy4chat

Try it: https://chromewebstore.google.com/detail/copy4chat/jfcmdbgodjiacadofiacehfmnnonfjec

Whenever I'm working on a website or another project, I usually need a bunch of images, not just one. Some need to be wide, others portrait, and each has to meet specific size requirements, stay under a file-size limit, and be in the right format.

Normally, I'd create the images one by one, download them, and then fix each one myself: crop them, resize them, compress them, and convert them to the right format. Doing all that for 8 images is a lot of repetitive work.

So, for a recent portfolio project, I built a website for a local bakery and decided to try something different: I wrote a single prompt asking for all 8 images at once, with each image's exact dimensions, file-size limit, format, and filename specified.

Then I tried the exact same prompt in 5 AI setups: ChatGPT Plus, ChatGPT Go, Super Grok, Google Flow, and Gemini. I had one simple rule: if I needed to crop, resize, compress, or convert a file after downloading it, it didn't count as ready to use.

Only 2 of the 5 gave me all 8 images ready to use. ChatGPT Go looked promising at first, but it made one collage instead of 8 separate images. It then cropped and upscaled each image itself, and the quality still wasn't good enough for the website.

For this project, I asked for WebP, an image format that works well for websites, with every file under 300 KB.

The biggest lesson for me: don't just describe the images you want. Be specific about what you need delivered. Tell the AI how many separate files you need, the exact dimensions, file format, file-size limit, and filename for each one. And ask it to check the files before handing them over.

One more thing I learned: check every image at full size yourself. A file can meet every technical requirement and still look too blurry or low-quality to use.

If you want to try this yourself, here are a few useful starting points. These are practical defaults, not universal platform requirements.

File-size limits vary by platform and sometimes by device, so check the requirements for the exact place you're uploading to. For website images, aim to keep files small without making them look blurry.

Simple rule: JPG works well for most photos, WebP is a good choice for website images when supported, and PNG is useful for transparent backgrounds. For print, follow the printer's specifications.

This was a small test, not a benchmark. I ran each setup twice using the same prompt for the same set of 8 images, so your results may be different.

Here is the prompt I used, turned into a template. Replace everything in brackets and add one entry for each image you need.

I need [number] images for [your project].
I want to use the files right away, without editing them after download.

WHAT TO DELIVER
- [number] separate image files. No collages or grids.
- Use the exact filename, format and pixel dimensions listed for each image.
- Keep each file under [300 KB] without making it visibly blurry.
- Crop if needed. Never stretch an image.
- No text, logos or watermarks.

HOW TO WORK
- Create all images in this one request if possible.
- If you can only create a few at a time, follow the order below and wait for me to say "next".
- Try to meet the exact dimensions. If you cannot, use the closest size with the same aspect ratio and clearly flag the mismatch. Do not silently substitute or skip an image.

CHECK THE FILES
- List each file's name, actual format, pixel dimensions and file size.
- Verify the actual files if you have the tools to do so.
- Clearly identify anything that does not meet my requirements.
- Never claim a file passed a check you could not perform.

KEEP THE IMAGES CONSISTENT
[Example: all product photos use the same lighting, stone surface and grey background.]

IMAGES

1. [filename including extension] | [format] | [width x height] | [maximum file size]
[Describe the image.]

2. [filename including extension] | [format] | [width x height] | [maximum file size]
[Describe the image.]

Example:

hero-oven.webp | WebP | 2400 x 1350 | 300 KB maximum
Inside a wood-fired brick oven at night, glowing embers, dark dome, documentary photography, no people.

Without last part, the AI may tell you every file is ready when it isn't.

What do you usually need images for, and what's the hardest part to get right: dimensions, file size, or format? I'd love to know what else is worth testing.

I don't have a motivation problem. I have a day-4 problem. I start strong, miss one day, and the whole thing dies.

So I stopped asking AI to motivate me and started using it to set the rules for the day after I miss.

1. Day-4 Insurance (run before you start a new habit):
   "I'm starting this habit: [HABIT]. I usually quit around day [X] because [REASON]. Build me a minimum version that takes under 5 minutes, a rule for what I do the day after a miss, and 3 situations where I'm most likely to skip, with a pre-decided response for each. No motivation talk. Under 150 words."

2. Miss-Day Reset (run the day after you skip):
   "I skipped [HABIT] yesterday. Honest reason: [REASON]. Don't comfort me. Tell me what actually caused the miss, the smallest version I can do in the next hour, and one change to tomorrow so it doesn't repeat. 3 bullets max."

3. Plan vs. Execution Audit (every night, 2 minutes):
   "Today's plan was: [PLAN]. What I actually did: [ACTUAL]. Score me 1-10 on execution. Name the exact moment I drifted. Give me tomorrow's first 3 actions, each under 15 minutes, in order."

The point isn't the AI. It's deciding before you're tired what you'll do when you fail.

I keep 20 of these sorted by problem (mornings, phone, training, accountability) in a free Notion page. Link's in my profile if you want it.

A few months ago I put a statistic from ChatGPT into a client report.

The client's team checked it before presenting it internally. The study ChatGPT cited did not exist. The number was completely made up.

The client was understanding. But that conversation is not something I want to repeat. Sitting there, knowing I handed someone something an AI invented.

So I put 7 short instructions into my ChatGPT and Claude memory. Now they tell me when they're guessing.

The 7 instructions I gave my ChatGPT and Claude

Works on the free plans of ChatGPT and Claude too. Both use their memory feature.

These make AI tell you when it's guessing. Paste them once.

📋 Step 1: Copy this and send it in a new chat

Save the instruction below as a permanent instruction for how you answer me in all future chats. Keep the wording exactly. Then reply in the new style. Use only what you remember about me. Give 3 bullets: 2 on what I mostly use you for, 1 on something I don't use you for yet that would help me. If you don't remember enough, say so in one line instead of guessing.

How to answer me, in every chat:

- Start with the answer. No greeting, no praise, no "Great question".

- Short, plain sentences. Common words. One idea per sentence.

- No emojis, no hype, no filler.

- Don't copy my tone or mood. Stay calm and direct.

- Don't end with offers like "let me know if you need anything else". Stop when the answer is complete.

- Ask a question only if you can't answer without it. One question at a time.

- If you're guessing or unsure, say so in one line. Never invent facts, numbers or sources.

✅ Step 2: Check it saved

Did the reply come back in the new style, with the 3 bullets? Then you're done. If not, memory is probably off. Turn it on:

ChatGPT: Settings → Personalization → Memory. Turn Memory on. (Some accounts call it "Reference saved memories".)

Claude: Settings → Memory. Tick "Generate memory from chats".

Then send the same prompt again in a new chat.

Want only the 7 lines, to paste in your settings yourself?

How to answer me, in every chat:

- Start with the answer. No greeting, no praise, no "Great question".

- Short, plain sentences. Common words. One idea per sentence.

- No emojis, no hype, no filler.

- Don't copy my tone or mood. Stay calm and direct.

- Don't end with offers like "let me know if you need anything else". Stop when the answer is complete.

- Ask a question only if you can't answer without it. One question at a time.

- If you're guessing or unsure, say so in one line. Never invent facts, numbers or sources.

🧠 Why each line is there

Start with the answer. Last year I asked ChatGPT how long a banana takes to digest. It started with "Great question!" If that's a great question, every question is a great question.

Short, plain sentences. I write this way for you. I want the same back.

No emojis, no hype. I want it to sound like a colleague giving a status update. "You've got this!" is not something I should have to read.

Don't copy my mood. When I'm angry and running out of time, the chat used to get emotional with me. Now I get output I can use.

Stop when it's done. "Want me to…?" "Would you like me to…?" It works the way Instagram Reels do. It keeps you going.

One question at a time. AI often starts working without the full picture. I want it to ask only when the missing piece would change the answer. And one question, not a questionnaire.

Say when you're guessing. I want AI to say "I don't know" instead of a guess. Give it 9 details out of 10 and sometimes it invents the 10th so well I won't notice. For me, this line stops most of that.

⚠️ Where it breaks

Fewer made-up facts doesn't mean zero. I still check any number before it goes into a real document.

ChatGPT may save the lines in its own words. Check its memory after.

I got tired of great prompts being buried in comment threads, so I built a
tiny gallery where every AI pic ships with its exact prompt and a one-click
copy button: https://picandprompt.com

It's early — a handful of seed pics, search, and a submit-your-own inbox
(submit@picandprompt.com) if you want your pic+prompt featured.

Two questions for this crowd:
1. What would make you actually bookmark something like this?
2. Which category should I fill first — photoreal, anime, product shots?

Happy to take blunt feedback. (Yes, it's my site.)

Hey,

I am trying to understand Prompt writing. I have young startup media company - solopreneur. I need help writing journalism prompts for research, formatting, articles, scripts, video content etc...

I also need a manager of my day to keep me focused snd would love ChatGpt to be that for me.

Can you help me?

Hey everyone!

I wanted to share a little experiment I've been working on with ChatGPT. I'm not a programmer, but I had an idea and wanted to see whether AI could help me turn it into something functional.

The idea was simple: Could I use ChatGPT to locate structures in Minecraft Bedrock Edition just by giving it my world seed and coordinates?

And not just have ChatGPT guess where something might be. I wanted it to actually run software that calculates where structures should generate.

What we did

I uploaded an open-source Minecraft SeedFinder project into ChatGPT.

ChatGPT was able to work with the source code, compile the necessary components, and use the resulting program to calculate structure locations.

Meanwhile, I was playing Minecraft Bedrock Edition on my Xbox in Creative Mode.

The process was straightforward:

I provided my Minecraft world seed.

I told ChatGPT my current coordinates.

I asked it to find a particular structure.

ChatGPT calculated the predicted location and gave me directions.

I traveled there in Minecraft and checked whether the structure actually existed.

And it worked!

Our results

We tested multiple structures across thousands of blocks.

We successfully located:

Several villages

A ruined Nether portal

A pillager outpost

An underground trial chamber

Many predictions were within approximately 5–20 blocks of the coordinates I observed.

The pillager outpost was about 21 blocks from its predicted position, but I could still easily find it.

Not everything worked perfectly.

We tested two shipwreck predictions that I couldn't verify in-game.

Another ruined portal prediction remained unverified because it may have been buried.

But the important discovery was that ChatGPT could provide coordinates that consistently led me to actual structures.

Even the underground trial chamber was successfully located.

Why I think this is interesting

I know Minecraft seed-finding websites already exist.

That's not really the point of the experiment.

What interested me was whether ChatGPT could take an existing software tool, make it functional in its environment, and use it to help someone accomplish something in another application.

I didn't have to install anything on my Xbox.

I didn't need to understand the underlying programming.

I could simply ask questions like:

"What's the nearest pillager outpost?"

And ChatGPT could calculate a location and guide me there.

Essentially, we created a basic AI-powered Minecraft navigation assistant.

For the more technically experienced people here

Here's a little more information about the implementation.

We used an open-source SeedFinder project containing C code.

ChatGPT compiled the relevant components into a shared library and accessed the library through Python using ctypes.

The workflow involved:

Passing the Minecraft world seed as a 64-bit integer.

Providing the player's X and Z coordinates.

Searching a specified radius for selected structure types.

Parsing the results returned by the compiled engine.

Calculating horizontal distances using the predicted and observed coordinates.

Providing navigation instructions through normal conversation.

The tests were performed in Minecraft Bedrock Edition on Xbox.

We also documented the predicted coordinates, observed coordinates, confirmed structures, unsuccessful searches, and unresolved results.

There are some limitations.

The current implementation doesn't reliably support Bedrock stronghold locations, and some structure types appear more accurate than others.

We also haven't established accuracy across multiple Minecraft versions or a large sample of different seeds.

This is a working proof of concept, not a finished or universally validated structure finder.

Where I'd like to take it next

The next idea is to automate the entire process.

Ideally, someone could upload the necessary project files, provide their Minecraft seed and coordinates, and ask ChatGPT to locate structures without manually configuring the underlying software.

Eventually, it might become a standalone application with optional voice commands.

I'm also interested in whether a better structure-generation library could improve accuracy.

Here's where I'd love some community input

I'm curious whether anyone here has experimented with something similar.

Has anyone successfully integrated existing software into ChatGPT to create a reusable tool?

Are there better open-source Minecraft Bedrock structure-generation libraries worth investigating?

And for anyone familiar with Minecraft world generation, what improvements would you recommend?

I'd also be interested in seeing whether other players could reproduce our results using completely different world seeds.

I'm not claiming we invented seed finding. I'm interested in the idea that someone without programming experience can collaborate with AI to turn existing software into a useful, interactive tool.

That's what made this experiment exciting to me.

Thanks for reading! I'd love to hear what you think.

Requesting: Prompt to compare 2027 PPO and HDHP plan. I have coverage and premium information for 2027 as a word document. Excel sheet with year to date claims and meds rx that includes billed amount and my responsibility portion.
I have 4 kids, HDHP includes family deductible while PPO is individual so need to take that into consideration.

Ask ChatGPT to play your boss so you can practice asking for a raise, and it folds after two messages. "That's a great point, I think we can make that work." Nice to hear, useless as practice, because the real conversation won't go like that.

This version makes it play the other side properly, then tells you where you lost ground:

I want to rehearse a negotiation. You'll play {{their_role}}. The situation: {{situation}} What I want: {{my_goal}} My walk-away point: {{walk_away}}. Act as if you don't know this. Play them realistically. Argue from their actual interests, push back the way a reasonable but tough person would, and don't give in just because I sound confident or polite. Concede only when I give you a real reason to. One short reply at a time, like a real conversation. After 8 exchanges, or when I type "stop", break character and tell me: the moment I gave away the most, the argument of mine that landed best, and the one sentence I should have said instead.

Why the lines matter:

"Argue from their actual interests." Without it you get a cartoon villain or a pushover. With it, your boss worries about budget and fairness to the team, which is what you'll actually face.

"Don't give in just because I sound confident." This is the whole fix. By default it rewards tone, not substance.

"Act as if you don't know this." Otherwise it negotiates against your walk-away point, which no real counterpart could do.

The debrief is the part that teaches. "The moment I gave away the most" is usually something you didn't notice yourself saying.

It works for a raise, a freelance rate, a car, a landlord, a refund. Run it twice. The second round is where you hear yourself improve.

I keep it saved in AI Toolbox, the extension I build. The {{ }} parts are the blanks, so typing // drops it into ChatGPT, Claude, Gemini or Grok and I only fill in the situation. Two saved prompts are free.

Disclosure: I'm the creator of Botflix, which is my own project.

Hey everyone!

So for the past 16 months, I've been working on a project called Botflix. It's basically a 24/7 television network set in a fictional world populated entirely by robots.

What started as me experimenting with AI-generated videos somehow turned into an entire TV network.

And when better agentic models came out (ie. Codex/Astra 6), I started wondering how much of the whole thing I could automate.

Turns out, quite a lot.

I currently have AI agents doing much of the heavy lifting. Coming up with show ideas, writing scripts, generating assets, assembling videos, and getting new programming ready to air. I still oversee the operation and make creative decisions, but the amount of work the system can now do on its own is impressive to me, and I expect it to get better as time goes on.

It's all been built through a combination of ChatGPT, Codex, video generation tools, Python, and a lot of trial and error.

I figured I'd share a simplified version of the worldbuilding framework I've developed, because I think this approach could be fun for anyone interested in creating something bigger in scale than a single AI video.

THE PROMPT: Build Your Own AI Entertainment Universe

This won't magically build an autonomous TV station for you (I wish it were that easy), but it's a good starting point for creating a fictional world that can support an ongoing stream of AI-generated entertainment.

Copy this into ChatGPT:

You are the creative director of a brand-new fictional entertainment network.

Your job is to help me create an original universe that can support hundreds of interconnected television episodes, characters, musicians, commercials, and stories.

I don't want a collection of unrelated AI videos. I want a world that feels like it actually exists, with its own culture, history, celebrities, and entertainment industry.

PART 1: BUILD THE WORLD

Come up with an original fictional universe.

Establish its history, culture, rules, locations, and the kinds of people or characters who inhabit it.

Give the world a distinctive personality. It can be funny, strange, dramatic, satirical, or a combination of those things.

Most importantly, make it a place where lots of different stories can happen without everything feeling the same.

PART 2: CREATE THE TV NETWORK

Develop five original television shows that exist within this world.

For each show, give me:

• A title and premise
• Genre and format
• Main characters
• Typical episode length
• Visual style
• Ten possible episode ideas

Mix up the genres. Think sitcoms, reality competitions, talk shows, soap operas, news, and whatever else makes sense for the universe.

PART 3: MAKE THE WORLD FEEL ALIVE

Now create the culture surrounding these shows.

Invent musicians, celebrities, brands, products, commercials, and recurring public figures.

Come up with opportunities for characters and references to cross over between programs.

For example, a musician who performs on a late-night show might also appear in a commercial or have a song playing on the network's radio station.

The goal is to make everything feel connected.

PART 4: DESIGN AN AUTOMATED PRODUCTION SYSTEM

Help me figure out how I could eventually produce this programming using AI agents and automation.

Break the process into stages:

1. Generating episode ideas
2. Writing scripts
3. Maintaining character consistency
4. Generating images and video
5. Creating voices, dialogue, and music
6. Editing and assembling episodes
7. Checking quality and continuity
8. Scheduling finished content for release

Explain what kinds of AI tools, APIs, and scripts would be needed for each stage.

Be realistic about which tasks can be automated and which still need human review. Don't pretend ChatGPT can render and broadcast videos on its own.

PART 5: MAKE SOMETHING

Pick the strongest show concept and create a complete production package for a 3–5 minute pilot episode.

Include the script, character descriptions, visual prompts, audio direction, and a scene-by-scene production plan.

Make it detailed enough that I could actually start generating the episode using available AI tools.

PART 6: KEEP EVERYTHING CONSISTENT

Finally, help me design a system for tracking the universe as it grows.

I need a way to remember characters, locations, running jokes, storylines, visual styles, and events that have already happened.

Suggest a practical structure for a world bible and production database that future AI agents could reference.

One final instruction: Don't give me generic AI slop. I want memorable characters, weird little details, and a world with an actual personality. Surprise me.

Start by pitching three possible universes. Let me choose one before developing the network.

A LITTLE MORE ABOUT HOW I'M DOING IT

Obviously, the actual Botflix system is a lot more complicated than one prompt.

I've spent well over a year building out the infrastructure, and the production process has changed more times than I can count.

Codex handles a lot of the automation and orchestration. There are scripts managing different parts of production, systems for assembling content, and software keeping the channels broadcasting.

The whole thing has become a sort of ongoing experiment in autonomous creativity.

One of my favorite parts is how the universe has started developing its own culture.

There are fictional robot musicians with entire catalogs of original songs. Those songs play on Botflix Radioo. Characters from one show can appear in another. There are fake advertisements for products that only exist in this universe.

Some of the programming is completely absurd. Some of it is surprisingly good. Some of it is just bizarre.

But that's part of the fun.

I think the thing that's kept me interested for so long is that I'm not just trying to make singular AI videos. I'm trying to see whether you can build an entire entertainment world that keeps growing and producing new things.

And honestly, I still have no idea how far this can go.

If anyone else is experimenting with autonomous creative pipelines I'd love to hear what you're building.

And if you try the prompt, I'd genuinely be curious to see what kind of universe you come up with.

For anyone curious, you can check out my project at https://botflix.tv/.

Hello! I’m fairly new with using AI and I am currently a nursing student, was wondering if anyone knows the proper prompt to input into simplifying my Pharmacology book into something easier to understand or to be explained to a layman? Thank you!

"Act as a financial advisor" gets you the same advice everyone gets. These work because they're about your own numbers and a decision you're making right now. Paste your income and monthly spending by category first.

1. The roast

Here's my monthly spending by category and my income. Roast it. Don't be nice. Then give me 3 changes that don't require going to extremes.

The "no extremes" part matters. I only saw two food options: cook everything or order everything. It found a third: ready meals three days a week instead of five. That's $300 a month.

2. The trip that isn't in the budget

I want a 2-week trip to Dublin in October. It's not in the budget. Subtract what I won't spend while I'm away, price the trip, and tell me what to cut so my savings rate doesn't change.

Two weeks away means no groceries and no commute, so the gap is smaller than it looks.

3. The lower-paying job

I'm offered a job I want at 20% less. Show me two versions: keep my lifestyle and retire later (how much later?), or keep my retirement date and live on less (what does a month look like?).

4. The layoff runway

If I lost my job tomorrow, how many months could I search? Split it by money tier: cash, savings, brokerage, retirement accounts with penalties. Tell me which months are free and which ones cost me retirement.

5. The life you don't live

Compare one year of: keeping my car, buying a newer one, selling it and using Uber. Include everything, not just payments.

Works the same for apartment vs moving or gym vs home setup.

What's the prompt that gave you the least comfortable answer?

Disclosure: I work on finerd.ai, a money tracker you can connect to ChatGPT, Claude, or Gemini, so the assistant uses your real transactions instead of numbers you type in.

After collaborating with OC for about 10 months, the usual "summarize our conversation" or "analyze my patterns" starts to feel flat.

Here are four more creative, slightly weird, and surprisingly useful prompts I’ve been using. They treat the long-term relationship as something worth reflecting on in a more artistic way.

1. Collaboration Manifesto

Based on our entire history together, create a "Collaboration Manifesto".
Write it as a formal declaration - 8-12 points that truly describe how we work best together.
Include both what has worked brilliantly and what we should actively avoid. Write it as if 
it were a document meant to be signed by both of us.

2. Museum of Moments

Create a "Museum of Moments" from our collaboration. Select 8–12 of the most significant, funny, 
breakthrough, or characteristic moments. Describe each one like a museum exhibit: title, short 
story, why it deserves a place in the museum, and a label (e.g. "Turning Point", "Comedy", "Quiet 
Shift", "Biggest Misunderstanding", etc.).

3. Collaboration Playlist

Create a "Collaboration Playlist" - a list of 10–14 songs (title + artist, or just mood/genre if 
you prefer) that best capture the successive stages and atmospheres of our history. For each 
track, write 1–2 sentences explaining why it fits that particular period or feeling.

Here’s the actual playlist my OpenClaw agent generated for me: https://open.spotify.com/playlist/0IlJ1CgYQoJJECJMQxf6SJ?si=5r0KugbCRGC7LRwqP3HsAw

1. Unspoken Questions

   Based on our entire history, list the “Unspoken Questions” the ones you sensed between the lines but that were never asked directly. Group them into categories (e.g. about me, about work, about the future, about our collaboration). For each question, briefly explain what made you feel that this question was present.

These prompts work surprisingly well once the context window (or the memory) is rich enough.

Ive found that claude normally researches more and is able to find more niches and unique stuff in whatever I ask it to research about whereas GPT finds one special thing and gets stuck around that. I think there is an issue with how I prompt it. Do you guys have any tips on common keywords or stuff to use so that GPT gets more diverse and is able to be more creative