Yapay Zeka Aracı Kaynak Doğrulaması
Araç içeriklerinin eski veya pazarlama kaynaklı yanlış bilgiler taşımasını önler.
HAZIR VE KOPYALANABİLİR
Prompt Kütüphanesi
305+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.
13 AI video tools I tested in 2026 and where each one fits
I’ve been making AI videos more seriously this year, and at some point comparing polished demo reels stopped being that useful. I wanted to see where these tools actually fit once you’re trying to put together a real project. I used roughly the same kind of brief across them: short marketing content with a script, visuals, voiceover, subtitles, and a finished export. Obviously
AI content creation made me spend more time fixing stuff than creating
starting to think having a good workflow matters way more than chasing the newest model every week. curious how everyone else is building their setup these days. are you sticking with one tool or mixing a few together depending on the project? anyone else hit this point where ai content creation was supposed to speed everything up but now half the job is fixing weird little thi
Here's the prompt I use to turn a messy strategy doc into a client deck outline that doesn't put the room to sleep
Solo marketing consultant, tool-fatigued, I mostly lurk. But this one earned its keep, so here it is. The problem was never the design of my decks, it was that they read like a table of contents instead of an argument, and clients glaze over by slide four. This prompt turns the strategy doc into a deck built as a case, not a summary. ``` Role: You are a narrative editor for cli
How we get AI to write like a human after thousands of pieces of content (rules, tone scales, exemplars)
I run an agency and we've written thousands of pieces of content with AI at this point. The default writing style is kind of obnoxious with every model, and honestly it seems to have gotten worse as the models got smarter, not better. I think it's because the labs are all optimizing for software engineering now, so the models write like they're optimizing code. Shorthand, missi
Stop asking AI to "make slides." Give it this structure instead and the outline actually holds up
"Make me a presentation about X" gives you a generic table of contents every time. Intro, three vague sections, conclusion. The problem isn't the model, it's that "make slides" has no shape. Give it the shape and it gets a lot better. ``` Before writing any slides, build the spine of the talk. Step 1: State the ONE thing the audience should remember. Just one sentence. Step 2:
Stop making your prompts longer. The highest-impact fix is separating your instructions from your data.
keep seeing people respond to a bad output by adding three more paragraphs of instructions. Most of the time the prompt was not too short. It was mixed. The pattern that fixed the most for me: physically separate the instruction from the material it operates on. When you paste a task and the content it applies to as one blob, the model has to guess where your command ends and y
the prompt-structuring trick that can cut a multi-turn api bill 5-10x: put static content first, dynamic content last, so it can actually be cached
if you're building anything multi-turn and not structuring prompts for caching, your bill is probably several times higher than it needs to be. this isn't a model choice or a retrieval trick, it's purely how you order the prompt. the mechanic: put everything static (system instructions, tool definitions, few-shot examples, anything that doesn't change turn to turn) at the front