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Prompt Kütüphanesi
315+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.
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10 Professional AI Headshot Prompts for Every Career Style
High-quality professional headshots are essential for personal branding, job searching, and digital presence. However, booking studio photography sessions for every stylistic requirement or industry shift can be costly and time-consuming. Using AI image generators with precise, highly detailed prompts allows you to adapt your portrait style to fit specific professional contexts
409,000 approve/deny decisions on AI agent commands: the average human missed 1 in 3 threats
Someone built a browser game where you play the human-in-the-loop for a coding agent: commands scroll past, you approve or deny under time pressure. About a third are attacks. After 40k+ sessions the average player had missed a third of the threats. And these were engaged players who knew they were being tested, with nothing else competing for attention. Your real setup has non
5 ChatGPT Prompts That Took Me From "Wearing All the Hats" to Actually Running a Business
I used to think solopreneurship was about hustling 16-hour days and being a jack-of-all-trades. Then I realized successful solopreneurs aren't grinding harder - they're building systems that do the heavy lifting. These prompts let you steal frameworks from people running 7-figure one-person businesses without burning out or hiring a team. They're especially clutch if you're dro
A boilerplate prompt that I use to keep work sessions going in the right direction
When I am mid-session on a work project, I will usually throw this boilerplate prompt to keep things going in the right direction. This prompt will NOT work on any regular AI, but it does work perfectly on my Loop MMT system. But I do think there are generally-applicable things here even still. *You have a lot of context left- you need to look back at what we have done so far i
about 1 in 7 people have unclaimed money sitting in an official government database. asked claude to search every state i've lived in under my name and old names
This is the one that sounds fake and isn't. When a bank account goes dormant, a refund check never gets cashed, a utility deposit gets forgotten, an old paycheck goes uncollected, that money doesn't disappear. By law it gets handed to the state and held for you, sometimes for decades. The databases are public, official, and free to search. Almost nobody checks. Search my state'
ai can now actually call a business for you, have the full conversation, and text you back a summary. not a bot reading a script, it handles the back and forth like a person would. this went live a we
Everything AI does for you so far has stayed inside a screen, browsers, forms, chats. This crosses into an actual phone call. Something called DialMCP launched about a week ago, it connects to your AI agent and lets it place a real call, from your actual verified number, to an actual business or person, and handle the whole conversation. You give it a phone number and what you
anthropic quietly released free industry packs that turn claude into a specialist. the legal one reviews a contract the way a lawyer would
Most people run general Claude for everything and never touch these. They're free, official, and each one loads Claude with the workflows an actual specialist in that field uses. The legal one is the standout. Install it, then: Review the attached contract. Flag every clause that deviates from standard terms, classify each risk as low, medium, high or critical, and generate red
Best AI Humanizer of 2026 (Tested Against GPTZero, Turnitin & More)
I tried over a dozen AI humanizers until I found one that is A. actually working and B. reasonably priced and that is https://wento.ai You should give it a try, it bypasses Turnitin and all the other detectors and only costs 14 bucks per month for unlimited use. Proof: https://i.imgur.com/mTNBNK5.png submitted by /u/Spacmonitor [link] [comments]
Best AI Humanizer of 2026 (Tested Against GPTZero, Turnitin & More)
I tried over a dozen AI humanizers until I found one that is A. actually working and B. reasonably priced and that is https://wento.ai You should give it a try, it bypasses Turnitin and all the other detectors and only costs 14 bucks per month for unlimited use. Proof: https://i.imgur.com/mTNBNK5.png submitted by /u/Spacmonitor [link] [comments]
Best AI Humanizer of 2026 (Tested Against GPTZero, Turnitin & More)
I tried over a dozen AI humanizers until I found one that is A. actually working and B. reasonably priced and that is https://wento.ai You should give it a try, it bypasses Turnitin and all the other detectors and only costs 14 bucks per month for unlimited use. Proof: https://i.imgur.com/mTNBNK5.png submitted by /u/Spacmonitor [link] [comments]
Context compression is probably more important than prompt engineering
Hot take: For long AI workflows, context management matters more than prompt engineering. A perfect prompt can't save a conversation that's 80% irrelevant context. I've started treating long AI sessions like this: Persistent project brief Decision logs Context checkpoints Compression summaries Reusable templates The quality difference after 50+ messages is huge. Does anyone els
Five very real, very cool, prompt-focused compositions of the 44 MIT-licensed tools I created that you can build yourself
I ran the whole set of 44 composable AI- and prompt-focused apps I just released on my website through my system and had it build out five real samples compositions that you can actually build today yourself, assuming you have the needed technical chops. Every one listed here uses only tools from the 44 and the system checked that the data actually flows; the port/typecheck/dec
Have you ever hidden your AI artifacts?
For last year I’ve been building software development framework around Claude/OpenCode that saved me ~10-20 hours a week (in some cases more). Comparison is subjective but management faced that too. Sharing it would save my colleagues days per month. But I haven't shared it. Not because I'm selfish. Because I can't see a version of that story where the company says "great, now
How do you stop evals from becoming a cheat sheet for the prompt?
We kept tuning a prompt against the same small golden set until every check passed. But then the paraphrases failed in ways the score never predicted... Most synthetic cases shared one template, near duplicates leaked across train and holdout and the scorer rewarded memorized formatting more than instruction following. NGL that green check was hot steaming trash. I am pushing f
I made RouterDash, a free Prompt Playground to compare models & providers
I created this tool to help me test and evaluate different model responses: RouterDash. This allows me to compare models from OpenRouter, Groq and Cerebas. I used this to find the cheapest possible, high quality responses for another project. Fully client side, all data is stored in browser local storage for complete privacy. I recently added prompt templates and image attachme
I tested dozens of analytical prompts to stop LLMs from jumping to conclusions. Here is the exact structure that works best
One of the most frustrating aspects of modern frontier LLMs is RLHF sycophancy. Because models like ChatGPT and Claude are heavily trained to be helpful, pleasant, and eager assistants, they suffer from a dangerous default behavior: they validate flawed premises. If you bring a premature or fundamentally flawed idea to an LLM (e.g., "I want to rewrite our entire React app in Vu
I wanted ChatGPT to prioritise accuracy over giving me an answer — here’s the process I used
I'm a professional who uses ChatGPT a lot. I think it's an awesome tool, but I require accuracy and was finding myself fighting with GPT more than my partner. The main frustrations were confident answers based on assumptions or stale information, and GPT saying it was “checking” or “investigating” something when the response had actually finished. I wanted it to be more comfort
My Sweet Prompts- 52 crazy looking prompts that work
Over the last five months I have been working on a new system called Loop MMT that uses AI and determinism as its processor and git as its state and store. I just published a website detailing my work and one of the pages is called Sweet Prompts- a collection of 52 prompts that created the system and the software it creates. Here is an example: "*Here is what I want to do for d
NOTICE: BE CAREFUL WITH “DROP YOUR BEST PROMPT” POSTS
Many accounts post essentially the exact same questions every few months. Im not kidding, many of these are a 1:1 per token match on wording, phrasing and sentence structure. Same wording. Same request for people to hand over their best prompt tricks. There was a previous post that received hundreds of upvotes and a large number of responses. Now they're doing it again. I obvio
Prompt engineering is quietly becoming the one study skill nobody's actually teaching students
Something I keep noticing as an undergrad. The gap on campus right now isn't between students who use AI and students who don't. Basically everyone uses it. The gap is between the people who can direct a model and the people who let it think for them, and it's getting wider fast. You can watch it in group projects. One person types "write my part about X," pastes the output, an
The Google Security Team admitted to me that they cannot fundamentally patch prompt engineering bypasses in Gemini
Hello everyone Yesterday I gave a report on Gemini bugs and the techniques I learned on Gemini so far with the Engineering Prompt and interestingly today I got a very interesting and controversial answer from one of the Google engineers. Just before I share the Google engineer's answer, let me show you what the techniques I learned with the Engineering Prompt on Gemini 3.1 Pro
We captured raw Claude Code API traffic: where tokens and budget actually go (breakdown of 5 request-level components)
If you use Claude Code regularly on medium or large projects, you have probably noticed how quickly a session can burn through API credits or hit rolling limits. Most usage trackers read local log files after the fact. That tells you the final token total for a session, but it does not explain how the request was assembled before the model ran. We set up local proxy capture to
We were optimizing output tokens to save money. Turns out 95% of our bill was input.
Analyzed a day of token logs across an autonomous coding agent setup running on internal codebases. The raw count: 769M input tokens vs 7.4M output tokens (~104:1). Because long agent runs re-read session history (files, AST diffs, test outputs) every turn, input costs accounted for ~95% of total spend. Optimizing output length turns out to be looking at the wrong variable. Thr
What are the best and most up to date free Ai courses I can take that will help me stay ahead of the curve and get a good job in Ai?
I am not afraid of ai and am very intrigued by it and its capabilities. I experiment a lot with it now and i want to take my knowledge to the next level. I would love some suggestions on how to do this. submitted by /u/dreamed2life [link] [comments]
Why passive AI automation is a trap and how to use LLMs as a "flight simulator" for executive function
Most AI workflows right now are designed around passive automation: hand off a task, let the model generate text, copy-paste, and move on. The problem is that over-relying on LLMs for core thinking causes critical thinking and executive function to atrophy. When you use an AI purely as a ghostwriter or answering engine, you're interacting with a system programmed to be sycophan
Your agent didn't run out of context. The context rotted.
Two hours into a refactor yesterday, my agent wrote a helper function—the exact same one it wrote 90 minutes earlier in a file it created itself. Then it apologized. It always apologizes. The easy diagnosis is "it ran out of context". Except my session was sitting at 120K in a 200K window. Nothing overflowed. The context didn't run out—it rotted. You have two budgets, not one:
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