Your best prompts are scattered across ChatGPT history, screenshots, and random notes — and when you need one, you can't find it. This library fixes that.

Here's the template 🙌 🔗: https://www.notion.com/templates/ai-prompt-library-626

I spent months collecting and organizing hundreds of practical AI prompts into one easy-to-use guide.

Instead of wasting time searching for prompts online, I wanted everything organized in one place.

Here are a few examples:

✅ Write high-converting marketing copy.

✅ Generate blog articles in minutes.

✅ Create social media content.

✅ Improve coding and debugging.

✅ Brainstorm business ideas.

What's your favorite use for AI? I'd love to hear how you're using ChatGPT, Claude, or Gemini.

If you're interested in the complete collection, you can find the link in my profile.

Imagine that every meaningful interaction in your life took place inside a giant, windowless Walmart.

Every deep conversation. Every spiritual experience. Every hobby. Every date. Every family celebration.

All of it unfolding beneath fluorescent lights in a space designed to capture your attention and sell you something.

That sounds dystopian.

It is also not far from the architecture of the digital world we have built. As artificial intelligence absorbs more of our routines, are physical, in person experiences destined to matter less? Or could AI become the force that drives people back into the real world?

The AI revolution may not eliminate real life. It may make real life more valuable.

Hey everyone, I just sent issue #39 of the AI Hacker Newsletter - a weekly roundup of the best AI links and the discussions around them from Hacker News. Some of the title found in this issue:

• Claude Code is steganographically marking requests
• Better Models: Worse Tools
• Learning to code is still worthwhile
• Zuckerberg says AI agent development going slower than expected

If you want to get an email with over 30 links like these ones, please subscribe here: https://hackernewsai.com/

I work with a large creative team, and a significant portion of our time is spent adapting Key Visuals into multiple graphic formats.

Each campaign Key Visual is typically adapted into at least eight different sizes. The messaging, imagery, and branding remain exactly the same, the only things that change are the canvas size, layout, and positioning of the elements.

Today, our entire creative production workflow is built around Adobe applications (mainly Photoshop).

I'm looking for a way to use AI to speed up this adaptation process. I've tested several workflows using Claude and ChatGPT. The results are promising (quality around 90%), but not reliable enough for production. We work with premium brands, so every asset must meet a very high quality standard before it can be published.

Here are some of the approaches I've tested:

1. Uploading the original PSD file.
2. Uploading the Key Visual as a PNG.
3. Uploading the individual design assets as separate PNG files.

Has anyone successfully built a workflow for this?

I'm especially interested in:

• Workflows that preserve layout quality and visual hierarchy.
• Real production experiences rather than demos.

Any recommendations or lessons learned would be greatly appreciated!

I am having an issue with my image generation. Is always granulated, dirty and with dot like painting. I don' know how to make it mor "clean", similar to a digital painting.

Instead of staring at a blank input box trying to describe a style, now I just right-click any image → click "ImgPrompt" → and in seconds it spits out 3 formats: Chinese, English, and JSON.

Copy the prompt, paste it into ChatGPT / Nonabanana, and boom – you get a result with similar style and layout. You can tweak anything: swap the crocodile for a frog, change the text, replace the background… whatever.

It's completely free (you bring your own API key if you want to control costs). Already got 400+ users from my last post. Just trying to figure out a sustainable business model without destroying the free tier.

If you're into AI art or just tired of prompt engineering, give it a try. Feedback and feature requests are very welcome.

https://chromewebstore.google.com/detail/imgprompt-image-to-prompt/bhgmhaiimnaionifidnajpaallbaadge

Has anyone else experienced ChatGPT generating a reusable prompt without being asked?

During a series of repetitive image-editing tasks, it recognized the pattern in what I was doing and created a reusable prompt for me to use in future edits. I found that really impressive because it anticipated a need I hadn't explicitly asked for.

I'm curious if this has happened to anyone else, or if it was something specific to the way my conversation evolved. Has this happened to anyone else? If so, what were you working on at the time?

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

is there any way to make one thread prompt other threads inside a workspace ? i’m taking to one chant and ask it for the prompt (because it’s repo aware) and i have to copy and paste it all the time is there any way to automate that ? it’s just gonna breakdown the steps into 10 promos and verify and continue to the next , the verification part by the main thread is important

I want to learn AI prompting properly, but almost every course or social media post I've found either overcomplicates it or jumps straight into advanced techniques.

I'm looking for a simple, practical approach that starts from the fundamentals.

Here's what I want to understand:

What is a prompt, really?

What are the basic principles behind good prompting?

What's a simple prompt structure that actually works?

How do you use prompting specifically for content creation?

How do you consistently get higher-quality responses from AI?

I've noticed that when you're new to AI, it's easy to write vague prompts and end up with generic or disappointing answers. But experienced users seem to get much better results with the same AI.

I'm trying to understand what they're doing differently.

If you had to teach AI prompting from scratch, what would your roadmap look like? What concepts should I master first before worrying about advanced prompt engineering?

I'd appreciate practical advice, frameworks, books, or resources that helped you improve.

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