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Prompt Kütüphanesi
315+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.
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
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'
Anthropic's own docs say a second model only pays off in two shapes
Been reading their cost-optimization guide and one sentence stuck: "a second model paid off in two shapes, an advisor and an orchestrator." Everything else they measured apparently didn't make the cut. Shape one: a low-cost model runs the whole loop and consults a frontier model only when stuck. Advice comes back short (400–700 tokens typically), you pay frontier rates only on
claude can now run tasks on a schedule in the cloud with your laptop shut. i have one that catches every follow-up i said i'd do and forgot
Scheduled tasks used to require your machine on and the app open at that exact moment, which made them useless for anything real. That changed. Routines run on Anthropic's servers, so they fire whether your laptop is open, asleep, or in a bag at the airport. Where it is: desktop app, go to Code, then Routines on the left. Ignore the Code label, it's plain English instructions o
cloned my own voice from a 15 second recording and now claude reads my newsletters, scripts, and anything else out loud in my actual voice. whole setup took about two minutes
Recorded 15 seconds of myself talking normally, like telling a friend a quick story, quiet room, nothing special. Fed it in, and now anything I write can be read back in a voice that genuinely sounds like me, not a robot approximation. Runs through Claude Code, which is the version of Claude that can actually run commands rather than just chat. You point it at Fish Audio, a voi
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
Here's a prompt that turns a wall of text into an infographic outline before you open a canva infographic maker
Design background here. The request I get most is "can you make this into an infographic," attached to three paragraphs of dense text with no sense of what the one takeaway is. The tool is never the problem. The thinking that has to happen before the tool is the problem. So I wrote a prompt that does the structuring part, the part people skip. It doesn't design anything. It dec
how to made MiniMax H3 video edits way easier to control
one thing I underestimated with MiniMax H3 is how much the prompt structure matters. for video editing, simply saying“replace this person with this reference” leaves way too much open to interpretation. the more reliable approach is to tell H3 very clearly what each input is responsible for, then separate the things you want changed from the things you want preserved. A compact
I created 44 free MIT-licensed tools to help with all kinds of AI development work, particularly in prompts
I worked with my system to create a suite of 44 free apps for AI work that you can find on my website. Hint- these tools are MAJORLY composable. You can have your AI system take a look at the collection to see how they can flow together and for suggestions on ways they can be used. Cairn — Keeps Git history alive across independent storage providers through priority-ordered clo
I distilled Google's official Gemini agent guidelines into a battle-tested agentic workflow system prompt
If you have built autonomous agents or multi-step tool-calling workflows with LLMs, you have likely run into the standard failure modes that break production agents: Premature Action Bias: The model fires off tool calls or answers the user before mapping out prerequisites and the logical order of operations. Fragile Error Handling: When an API call fails or returns unexpected d
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 was tired of repeating myself in every new AI chat, so I connected Personalisation with Google Drive
The biggest problem I had with AI wasn’t the quality of the answers. It was forgetting what we had already done. I would spend hours working through a project, fixing a workflow, testing different approaches and explaining how everything should work. Then I’d open a new chat and find myself explaining the same context again. “We already tried that.” “Don’t change that part.” “T
Is prompt-to-video actually the wrong workflow for longer AI videos?
I’ve been messing around with full music-video workflows in MusVideo Ai lately, and honestly, I started noticing something pretty quickly. A lot of my failed generations weren’t actually video problems. The mistake usually happened earlier. Wrong face, weak composition, inconsistent clothing, bad lighting continuity — all things that were already visible before anything started
New skill for better prompts - reprompt
Just wrote a new skill - reprompt. You pre or append your prompt with it when you think it might not be the best. Then the agent does not run your prompt, but instead rewrites it 3 ways to make it better. Then you pick the best one to submit. submitted by /u/MirafoldHQ [link] [comments]
one AI brief, 3 outputs: landing page + pitch deck + promo video. how would you structure the context?
trying to figure out the least stupid way to do this. same company needs: - landing page - pitch deck - 30sec promo video my first instinct was one giant master brief and then reuse it for all 3. but i think thats wrong. some stuff should probably be **fixed context**: company facts product audience positioning approved claims / proof brand voice + real examples stuff it absolu
PromptBar - a tiny menu bar app to edit and copy your daily prompts
Hi everyone — I made this tiny macOS menu bar app to quickly edit and copy my daily prompts. I work as a software developer and I use a few prompts on a daily basis, so having this saves me a lot of time. Some examples of the prompts I commonly use: Create pull request Code quality & readability review (reduce AI bloat, comments, useless tests) Language simplification — give me
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
Stop organizing your prompts by topic. Organize them by verb.
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
There are no magic words in prompting. The real skill is learning how to make your intent explicit.
UPDATE: I suspect the issue has been resolved. Im not sure how but thank you to the MOD team and to anybody who supported my complaining. [CONTEXT: Some strange shenanigans with the voting system.] I have also appended a short TL;DR and a list of research papers that argue both against and in support of my claims made in this post. The list of papers can be found at the bottom
Two years of prompt engineering for coding work, what actually moved the needle
Studied engineering, IT side. Worked through most of it, part time during the day and a five hour night shift on top, and I did most of my actual learning on that night shift with a laptop open when nothing was happening. Been doing this properly for about two years now. Did two prompt engineering trainings somewhere in there. Neither was bad but what I actually took from them
What’s the one prompt trick that actually made a noticeable difference?
I’ve tried a lot of the usual prompt tips, but most of them seem to make only a small difference. What’s one prompting technique you’ve used that genuinely improved the quality or consistency of the output? Could be something simple or something more advanced. submitted by /u/Appropriate_Care_880 [link] [comments]