83+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.
Seemed obvious. Agent kept re exploring the same sites so I cached what it found. Token spend dropped immediately. Then a site changed a form and the cached path kept running. Didn't error, didn't return empty, just returned the wrong field confidently for three days before I noticed. Moved to webcmd after that, which does the same explore-once-then-reuse thing but properly: co
Satmak istediğiniz eşyaların fotoğraflarından ChatGPT'e gerçek satış fiyatını araştırtıp, ilan metnini yazdırıp Facebook Marketplace'e yayınlatan ve gelen mesajları sizin belirlediğiniz taban fiyatın altına inmeden pazarlıkla yürüten üç adımlı bir prompt seti.
ChatGPT'e web araması ve tarayıcı erişimi açıkken, satın almak istediğiniz bir ürün için önce geçerli indirim kodlarını bulmasını, ardından sepetinizde bu kodları tek tek deneyip en iyi sonucu bildirmesini sağlayan iki adımlı bir prompt.
I've been reusing prompts heavily across ChatGPT and Claude for about a year. The thing that finally made my library actually usable wasn't a better tool — it was one change in how I categorized things. (Full disclosure since it's relevant: I ended up building a small tool around exactly this workflow. Not going to link it in the post — happy to drop it in a comment if anyone w
We have a common misunderstanding about AI coding assistants: we expect them to work like a senior engineer with a decade of experience. In reality, their mental model is much closer to that of a "genius intern." Imagine this intern joins your team: he's incredibly smart, learns at a stunning pace, and can read any document you give him in seconds. But at the same time, he is e
Spent a while trying to trim prompts for an agent that pulls data off a few sites daily. Tightened instructions, cut examples, and compressed the system prompt. Marginal gains at best. Then I actually looked at the token breakdown, and the prompt was never the problem. Navigation was DOM dumps, screenshots, and the model reasoning its way to a button it had already located in t
not a prompt engineer really, i just write plain english explainers for non-technical people, and this is the one thing that clicks for them every single time. most "the AI gave me rubbish" moments aren't the model being dumb, it's the brief being vague. the fix is one line before your actual ask: who is this for, and what does a great answer look like. then give it ONE example
Junior product analyst at a fintech. Building the deck stopped being the hard part a while ago. The hard part is standing in the room when a VP asks the one question I did not think about. So before every review I run this on my own deck or summary. ``` You are a skeptical senior executive reviewing my analysis before I present it. Here is what I am presenting: {paste your key
Odanızın tek bir fotoğrafını yükleyip ChatGPT'e gerçekçi bir yeniden tasarım önerisi çizdirten, ardından aynı görsele göre 500 dolar altı bütçeyle gerçek, satın alınabilir bir alışveriş listesi çıkarttıran iki adımlı bir prompt.
İçerik görseli, kapak ve platform metni birlikte hazırlanır.
ZncLabs ile pratik yapay zeka içeriklerini keşfedin.
