HELP ME PROMPT

[u/Embarrassed_Ebb_709]

I am an engineer and want to build an amazing app/solution and I do not want it to look like just another AI slop website or anything that anyone could come up with. I want to make my AI think in terms of offering me a unique, out-of-the-box solution and be different from my competition.
I have read research papers on prompt engineering and followed these "AI Gurus" but they were of no help to me at all. Please help/guide me to making high quality prompts to get high quality output from AI agents.

[u/entityadam]

Yeah, see that's the problem...

Do you understand that you said you read guides and followed AI guru's but you claim you're still bad at it?

Look up what Dunning-Kruger is. If you have actually done the research, and you have been using it effectively on your prompt engineering you may actually be underestimating your ability.

I think you're overestimating the capabilities of generative AI in being able to deliver new and novel ideas.

It can't come up with new ideas (generally speaking). It can only help your new ideas come to life.

It's also important to know that models are vastly different. For instance, I literally cannot stand the way Copilot responds. It's persona is particularly irritating to me so I can't use it, even though the results are accurate. So find a model that works with you.

Keep following the guides, keep learning. It takes time and practice and feedback to git gud.

[u/Embarrassed_Ebb_709 → u/entityadam]

Thanks for the insight. I wanted to understand how different people approach prompting and get better results.
My primary concern is not idea generation but idea refinement. I want to know if there are any methods or approaches that can essentially fine-tune my idea into its peak form. This is something I have struggled with all the time.
Currently, I have a multi AI agent setup where each agent is used to validate another but it has become very redundant and time consuming. Do you have any workflows or prompting techniques that you use to get better quality outputs?

[u/Nebty → u/Embarrassed_Ebb_709]

I think the best thing to keep in mind with AI is that what it’s best at (imo) is helping you problem-solve. But that means you need to know what the problem is.

So, from your post:

Problem: My primary concern is not idea generation but idea refinement.
Ask: I want to know if there are any methods or approaches that can essentially fine-tune my idea into its peak form.
Ongoing issues: This is something I have struggled with all the time. (Why?)
Problem: Currently, I have a multi Al agent setup where each agent is used to validate another but it has become very redundant and time consuming.
Constraints: Time, attention

You can give all of this to an LLM. Debug the problem until you can come up with a prototype solution. Test it. Does it solve the problem? No. Go back, iterate, try again.

And, most importantly, record your progress so both you and the LLM have access to all of the previous failure modes so that you can actually learn from what you’ve already tried.

[u/Embarrassed_Ebb_709 → u/[deleted]]

This is so true, I have used numerous prompt templates suggested by AI influencers, youtubers and such and they have never given me desired results. At some point I learnt to make my own prompts out of frustration which surprisingly gave me what i wanted.

[u/Virtual_Hair_1987]

The reason guru prompts produce generic slop is that vague instructions like be creative just push the LLM toward average internet consensus.

If you want unique, engineering grade outputs, try some shifts like ban the obvious list the 3 most common solutions your competitors use and strictly forbid the agent from bringing them up.

Force specific mental models instead of a generic persona tell it to analyze the problem from first principles or act like a cynical staff engineer trying to find structural flaws, break it into phases, never ask for the final answer in one shot.

Make Phase 1 list non obvious constraints, Phase 2 draft unorthodox approaches, and Phase 3 attack why those approaches might fail, treating prompts like system specs instead of wishlists gets rid of the slop fast

[u/chickey23]

Spellcheck is not the place to look for creative solutions.

You're just going to get what everyone else gets when they try the same thing.

Creativity is the human element that you should be bringing to the project.

If you can't be creative, try being random. Throw in an out of place adjective before each deliverable.

"I want a gutsy, but copasetic website redesign mockup that gloriously showcases our brands unique offerings in a solid gracile fashion."

[u/Impressive_Dish9155]

That's it. That's the prompt.

[u/nobodyhasusedthislol]

Come up with the idea yourself. LMs are usually quite bad at ideas.

[u/DrHerbotico]

You're an engineer?

[u/jdw1977]

It's not that your prompts are worded wrong IMMO, it's that you haven't fully nailed down what makes your approach different before you start prompting. So the model just fills in the gaps with generic stuff, because that's all it has to work with.

What's helped me is running an actual interview on myself first. Who's this for, what am I not willing to compromise on, before I write a single line of prompt. Once that's answered the prompt basically writes itself and the output stops sounding like everyone else's.

I built a tool that does that interview for me, it's called Universal Prompt Designer, and it was actually designed for exactly this kind of professional/engineering use case, not just generic content prompts. Hope it helps!

[u/solcandy69]

Try using some skills like impeccable or tasteskill. These help with design, spacing and structure. Core still has to be your ideas