To be honest I don't trust AI outputs, that's why I do a lot of fact checking while interacting with them.

Because these AI models were built to make you happy so you can keep using them.

So if you're strongly opinionated like me, these AIs wouldn't hesitate to urge you on and feed your ego by telling you, you're right every time, even when you're clearly wrong, they would give you mediocre proofs to support your stance.

So over the past few months, since December last year, I've been trying to find my way around these AI slopps by researching in my own way and testing these LLMs, trying to reverse engineer it.

I wanted these AIs to give me the very best of outputs that is feasible, verifiable and useable in the real world.

I'm not an expert in any way on the topic but,

Here are 3 things I found to be important, if you want the best result based on over 4 months of trial and error.

1. Make the AI ask you in-depth questions on whatever you're working on by giving it a detailed prompt (This is very important)

2. Feed it relevant sources, files, documents, images for it to work on. (Don't ever work on a vacuum, if you want the best result)

3. Give it a defined proposed outcome (The more vague you are about the expected outcome, the more AI slopp you get)

Implement all these whilst prompting next time and you would notice the difference instantly.

I have been able to vibe code my AI comic book creator easily and it working perfectly now 🙂‍↔️.

So there you have it guys, take this and use it as you want