#Prompt Engineering

[composerinprogress]

I've been tracking my mood, energy & clarity for two months

Today, I generated a wellbeing report

[promptsurgeon]

Welcome to the Operating Tabe

You just found the anti-swipe-file blog.

This isn’t where you’ll get another recycled “100 ChatGPT prompts” post. This is where prompts get dissected, rebuilt, and evolved into weapons.

🧠 We teach you how to take vague, underperforming prompts—and turn them into Precision Engineered instructions that ChatGPT actually understands.

⚔️ Built for:

Creators who are done battling lazy AI output

Founders who need brand-consistent results, fast

Prompt nerds who want systems, not guesswork

Anyone who's tired of sounding like everyone else

💉 What you’ll find here:

Prompt teardowns (before & after)

Tactical quote drops

ChatGPT evolution memes

Zero-fluff systems thinking for AI content

If that sounds like your kind of operating theatre, scrub in.

This is Prompt Surgeon.

[pieartsystuff]

prompt engineering is stupider than you might think

as someone who was in the AI/LLM mines for work against er will, i have thoughts about the misconceptions around prompt engineering. prompt engineering, contrary to popular opinion, is not simple or easy. also it is far stupider than popular opinion begins to realize.

people think it's equivalent to giving an order for what to do and then the computer does it, well or poorly, depending on its own capabilities to execute the order.

what it actually is, is like attempting to herd a very dumb cat* by cajoling it into giving you something close to what you're looking for.

providing it things you think it'll maybe-probably-hopefully pay attention to or take into account, which it sometimes does and sometimes doesn't by some totally inconsistent and arcane metric that is utterly beyond you.

trying one thing which gets a mediocre result every time, and then one incrementally different thing which gets a perfect result but only once.

wondering why it comes when you call like 8% of the time and how to consistently get that more up to 15%--which you can't, because the inner machinations of its little "brain" are on a completely different wavelength to you.

and all those hours you've spent "engineering" by replacing prompt wordings of "should" with "must" with "please for the love of fuck", you could've just asked an actual person who understands words to do what you wanted in about 10 minutes.

*except cats have real brains. you get me

[hillarywright]

The above image was generated using Midjourney v6.

The below prompt was fed into Meta AI to get product description ideas.

Initial prompt:

I am selling a used Louis Vuitton Clemence wallet on eBay. I need help crafting a detailed product description. Please give me three different options. The first should emphasize luxury and how covetable the wallet is. The second product description should talk about how deeply discounted the product is while still highlighting that is a luxe find. The third description should describe how chic the wallet will make the buyer appear and really appeal to the buyer's sense of self worth.

Meta AI Response:

Here are three different product description options for your used Louis Vuitton Clemence wallet:

Option 1: Luxury and Covetability

Indulge in the epitome of luxury with this pre-owned Louis Vuitton Clemence wallet. Crafted from iconic monogram canvas, this exquisite piece exudes refinement and sophistication. As a coveted accessory among fashion connoisseurs, this wallet is sure to elevate your everyday essentials. With its classic design and impeccable craftsmanship, this Louis Vuitton wallet is a timeless treasure that will remain a prized possession for years to come.

Option 2: Discounted Luxury

Elevate your style without breaking the bank! This pre-owned Louis Vuitton Clemence wallet offers an unparalleled opportunity to own a luxury accessory at a fraction of the original price. With its signature monogram canvas and gold-tone hardware, this wallet embodies the essence of French chic. As a pre-owned item, it has already taken its biggest depreciation hit, making it an intelligent investment for anyone seeking a high-end accessory without the hefty price tag.

Option 3: Chic and Empowering

Unlock your inner fashionista with this stunning pre-owned Louis Vuitton Clemence wallet! This chic accessory is designed to make you feel confident, sophisticated, and utterly glamorous. With its sleek design, luxurious materials, and timeless appeal, this wallet is the perfect companion for any stylish individual. Whether you're running errands, meeting with friends, or just need a stylish pick-me-up, this Louis Vuitton wallet is sure to make you feel like the best version of yourself.

[poppy-in-the-woods]

Since AI bros are putting on their profiles "prompt engineer" because they spend hours writing inputs for a machine to spit out the perfect big tiddy goth girlfriend or whatever, if you ever sent an idea/request to a writer, congrats, you are also a prompt engineer.

[dechnsign]

Prompt Engineering Tutorial freeCodeCamp

Prompt Engineering Tutorial Master ChatGPT & LLM Responses

Part - 2 (Brought to you by freeCodeCamp feat. Ania Kubow)

The video tells you about:

👉 Famous LLM models and their creators or vendors. 👉 Discusses Prompt Mindset by Mihail Eric from Infinite Machine Learning Podcast. 👉 Talks about components of the platform's interface such as API, token (documentation), and settings. 👉 Factors that help you write a prompt to obtain refined AI responses. 👉 Discussing the types of prompts. 👉 Understanding AI Hallucinations. 👉 What are Vectors/Text Embeddings?

The link to the video tutorial is given in the comments section.

[solveprogrammingproblems]

ChatGPT Prompts for Academic Writing

[sailormoonnoir]

ya know your blog would be neat if it was filled with all this AI art garbage. either learn how to draw yourself or commission an actual artist to do so. even making edits in photoshop would be better than this shit you keep posting :/

Aww I think it’s so cute how bold people are when they’re anonymous. I hate that this has to be broken down to you. I thought tumblr was for those of somewhat higher intelligence. But this isn’t my only blog here. Like my others…this one is geared toward a specific niche. Sailormoonnoir is set to an obvious niche that includes ai generated images of sailor guardians as African American women. It’s crazy to think that everything you see on tumblr is going to resonate with you. A mature response would be to keep scrolling past things that you do not like.

While I do get commissioned to create images for those who do not care to learn the details of prompt engineering, what I do does not take away from what ‘actual artists’ create. After all, here you are advocating for them anonymously. I hope you do so monetarily as well. There are a lot of starving artists out there that could use more than your pointless verbal support. If that’s what this was supposed to be…good day!

[cyberhippieblog]

So, is prompt engineering a new profession in AI field?

[krissym72]

Demystifying AI Art: A Guide to Engineering Effective Prompts

In today’s digital era, the boundaries between technology and creativity continue to blur, giving rise to a fascinating realm known as AI art. AI art, short for Artificial Intelligence art, represents a groundbreaking fusion of computational power and artistic expression. It encompasses a diverse range of artworks generated or enhanced through the use of artificial intelligence algorithms,…

[oblivionwonderlust]

the irony of the whole AI discourse is that the people who go around saying “AI won’t put you out of a job, people who know how to use AI will” is that these people who “know how to use AI” will instantly lose their jobs if AI actually did what it says on the tin.

the whole point of gen AI is to take some kind of vague human input describing and output and produce that— the way a client gives a team of professionals a brief and expects a deliverable of a certain quality. Generally, there are a couple rounds of feedback and reviews before the deliverable is handed over. the issue with gen AI is that it requires the initial input to be very precise and feedback generally results in a process of recreation (that creates its own new issues) as opposed to feedback driven modification of the existing deliverable.

here’s where the “prompt engineers” come in. the entire point of this group of people is to take a vague request and then “translate” that to a precise form that the AI can “understand”. they are the people who “know how to use AI”. their allure is very obvious to someone that only thinks in numbers— instead of paying a team of professionals, you can just pay this one guy who says he is the AI whisperer. the issue with this, of course, is that the quality of the deliverable is not very good. no matter how precise the input is, the quality of the output is fundamentally limited by whatever model is powering it. there is also the fact that most people that call themselves “prompt engineers” tend not to have broader creative credentials and may not be able to identify what might constitute as high quality.

this emergent class of “prompt engineers” tends to be the proselytisers of the use of AI and are specifically the ones going around saying “we’re gonna replace all artists with AI”— and also tend to be the people giving feedback to the development team behind these models. there is one obvious problem with this: the “prompt engineers” need the AI to be very difficult to use if they want to keep their job.

if gen AI starts doing what it promises, turning vague inputs into some kind of finished deliverable, the same client will turn around and say “what do i need a prompt engineer for?” and the IKEA effect will make the client be satisfied with the output, even if the quality is garbage.

the “prompt engineer” grift (and it is a grift) is a very precarious one. on the one hand, you need AI models to improve because that’s the hard limit of the quality you can provide (which is the same as every single other “prompt engineer” can provide mind you). on the other hand, you need it to be absolutely garbage to use and remain as it, lest your clients replace you or your tricks stop working.

[lunarreign24]

I am a freelance prompt engineer by day. I wanted to experiment with it to see how they would fare with descriptions (specifically looking at the general channel description and video descriptions), and I immediately saw an uptick in views on my Doey and Yarnaby video. I left my iilluminaughtii video's description the same (as my currently most viewed video) and changed the Poppy Playtime video's description so I could have a source of comparison. I specifically wanted to see if the trends captured by the model would help with catching the videos to the algorithm, and it seems to be working.

I understand AI hesitancy however, so I wanted to get thoughts on here before continuing to do so. Would using AI for descriptions and other algorithm-catching elements be understandable in your eyes, or should I continue to make my own descriptions moving forward? I decided to make a poll, so:

[ctrl-esc]

who up engineering their prompt‼️‼️

[digitalmarketingmagic]

ChatGPT is not a magic wand that can do anything you want.

ChatGPT is still limited by the data it was trained on, the quality of the input it receives, and the complexity of the task it is asked to do.

ChatGPT may not always produce accurate, relevant, or coherent outputs. It may also generate outputs that are biased, offensive, or harmful.

This is where prompt engineering comes in.

Prompt Engineering is the skill of designing and creating effective prompts that guide ChatGPT to produce the best possible output for your task. 

Prompt engineering is important because it can significantly affect the quality and usefulness of ChatGPT’s outputs.

A well-designed prompt can help ChatGPT understand your task better, access relevant information from its knowledge base, generate coherent and consistent outputs, and avoid errors or pitfalls.

ChatGPT prompt engineering is not an exact science, but rather an art that requires experimentation and iteration.

There is no one-size-fits-all formula for creating effective prompts for every task and every output.

However, there are some general principles and best practices that can guide you in your prompt engineering process.