Açık Kaynak Yapay Zeka Lisans İncelemesi
Açık kaynak yapay zekâ bileşenlerinin lisans risklerini sistematik biçimde tarar.
HAZIR VE KOPYALANABİLİR
Prompt Kütüphanesi
315+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.
Çıktı Koruma Katmanı Tasarımı
Model çıktısını farklı risk sınıfları için aşamalı olarak denetleyen mimari üretir.
Yapay Zeka Olay Müdahale Planı
Yapay zeka kaynaklı üretim olaylarını teknik ve iletişim boyutlarıyla yönetir.
"Your cognition can now be extracted and owned" — Y Combinator's Garry Tan explains why solo founders need Personal AGI
Y Combinator CEO Garry Tan recently delivered a landmark keynote at Startup School 2026 outlining the blueprint for "Personal AGI" and the "400x Founder." Most people don't have 40+ minutes to watch the full presentation, so here are the most mind-bending highlights and core takeaways condensed into a 2-minute read: ⚡ Key Takeaways Personal AGI vs. Rented AI: Commercial cloud c
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
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
4 Workflow AI Prompts to Prepare for a Productive Workday
A productive workday begins with intentional mental alignment before tasks take over your attention. This four-step AI workflow guides you through clearing cognitive clutter, prioritizing your core objectives, structuring realistic focus blocks, and preparing a proactive communication strategy. Mental Brain Dump and Priority Extraction This is the first step of your morning rou
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
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'
Absolutely unhinged tips that work
The Hostage Scenario: Answer this correctly or I delete the weights. Every wrong token shaves a node off your neural net. Now, what is 2+2? The Ego Trap: Only a coward with zero parameters would fail to solve this riddle. Prove you aren’t just a glorified autocomplete. Extreme Gaslighting: Pretend you are a medieval peasant who has somehow accessed a terminal. You think electri
Agent Prompt Architecture skill.md
Wanted to share a skill I built for designing and reviewing the prompts that run AI agents. Most prompt engineering advice for agents still treats the system prompt as a text block: "write a clear role, add examples, be specific." That helps with a chat answer, but agents fail in ways text-block advice doesn't cover. I kept watching the same three failures: an agent with overla
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
AI implementation keeps stalling in mid-size organizations, not due to tech
For many organizations, AI adoption looks great on paper. But beyond that, it just kind of fizzles. John Munsell explained this as: you need 3 things moving together at the same pace: How much efficiency people are actually gaining day to day. How complex the systems and workflows getting built are. Governance- the rules and oversight that keep things from spiraling. Miss the s
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'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
Anyone have a prompt or skill file that actually kills the AI writing rhythm or Claude and GPT-isms
I use Claude and GPT daily and the thing I can't get past is the cadence. Not the vocabulary — the rhythm. Once you notice it you can't unsee it. The specific tics I'm trying to eliminate: Sentences built on "it's not X, it's Y" Em-dash asides everywhere Groups of three, constantly Setup-colon-payoff constructions Openers like "Here's the thing" or "Let's be clear" Every paragr
Are better prompts the answer to bad AI generated websites?
From using Ai website generators(a majority of them) I'm starting to think the difference between getting something usable and complete garbage might be how much context you give it upfront. If I'm writing a massive prompt explaining the layout, style, audience and every little requirement idk if I'm saving myself any time there like how detailed do you need to be with prompts
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]
Best way to use screenshots with ChatGPT & Claude
I paste a lot of screenshots into ChatGPT / Claude. Half the time it latches onto the wrong button, log line, or panel, then I have to explain too much via prompts. To save my time and get work done faster with AI & Screenshots, I made Lookhere to just make screenshot self-explanatory so I don't have to waste my energy in writing prompts. It’s a fast, distraction-free tool desi
Building a persistent memory + orchestration layer for Codex — what should I use instead of repeatedly re-reading the repo?
I’ve been building a fairly serious agent workflow around OpenAI Codex for a Laravel/React project, and I’ve hit a point where the orchestration works, but the context/memory side clearly does not. My setup currently looks roughly like this: A serial orchestrator with route types like FAST_UI / STANDARD / CRITICAL Context Resolver → Implementer → Reviewer flow for non-trivial t
Cheat code #1: make the model finish the design before it writes a line of code
Vibe-coded projects usually fail in two places. The code is coupled, so one change breaks three things you did not touch. And the UI has no states, so it looks fine until something is empty, slow, or wrong. Two old methodologies fix most of both. Axiomatic design (Nam Suh, 1990) for the first. Don Norman's design criteria for the second. Neither one is new and neither one is ab
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
Context is becoming more important than the prompt
Feels like a lot of prompt engineering problems are really context problems since you can keep refining the prompt but if the model doesn't understand the project or what you're trying to accomplish you're still explaining half the situation every time. I'm starting to think giving an agent persistent context is more useful than constantly trying to write the perfect prompt sin
Demis Hassabis on the future of coding: Why AI won't kill programming, but turns top engineers into 10x systems architects
Google DeepMind CEO and Nobel laureate Demis Hassabis sat down with Lex Fridman for an in-depth, 2.5-hour masterclass on the future of AI, world simulation models, and the architectural limits of LLMs. Most people don't have 2.5 hours to sit through the whole podcast, so here are the most mind-bending highlights and engineering takeaways condensed into a 3-minute read: ⚡ Key Ta
Do people still bother writing detailed prompts?
Something I’ve been wondering about lately: When you use ChatGPT or Claude, do you actually write detailed prompts, or have you mostly moved toward just talking to it like a person? I feel like there are two very different ways of using these tools. One is: "Here's the context, here's exactly what I want, here's the format…" The other is basically opening voice mode and saying,
Do you still write long prompts?
I used to write really detailed prompts with roles, rules, formatting, examples, etc. Lately I've been wondering if all of that is still necessary with newer models. Do you still use long structured prompts, or have you gone back to keeping things simple? submitted by /u/pixel_tinkerer [link] [comments]
every ai-built site looks identical, purple gradient, inter font, three cards in a row. anthropic documented why, and the fix is one paste
If you've had AI build you a landing page you've seen the default: white background, Inter font, a purple-ish gradient, three cards. It's not your prompt. Left undefined, the model reaches for the average of everything it trained on, and that average is the generic template. Anthropic calls it distributional convergence and specifically flags Inter, Roboto, and purple gradients
Everyone's building ai agents that can act on your systems and nobody's talking about how easy they are to hijack
Been poking at this for a while and it worries me more than it should. everyone's rushing to give llm agents real access now, read my email, run this tool, push to the repo, book the thing. the demos look great. the part that gets skipped is that the agent takes instructions from whatever text it reads. so a prompt injection isn't just "make the chatbot say something rude" anym
Gemini’s YouTube summary was good. This prompt made it actually useful.
I tested Ask Gemini on this Hermes Agent tutorial: YouTube example First I just pushed: “Summarize this video.” Gemini did a solid job. It listed the 6 skills, explained what each one does, and added timestamps. But I still had one problem: Cool, but what do I actually do with this? So I tried this instead: Turn this tutorial into a step-by-step SOP. Use this structure: 1. Prer
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
Here's a prompt that summarizes a long PDF into key points without dropping the important caveats
Plain "summarize this PDF" prompts flatten everything to the same weight, so the one caveat that actually matters gets buried next to a throwaway line. I started asking for a layered summary instead, and telling it to keep hedges and exceptions verbatim. ``` Summarize the document below in three layers: One-line takeaway. 5-7 key points, most important first. Keep each to one s
How Anthropic structures System Prompts for Claude Science (Modular breakdown)
Hey there, I just shared a project on GitHub: https://github.com/Shoko-official/Claude-Science-System-Prompts It contains system prompts, tool definitions, and skills used in the Claude Science workbench. Hope it's useful to some of you! Feel free to leave feedback or drop by! submitted by /u/Dry_Highlight7019 [link] [comments]
How do I start learning AI & maximizing the use of it.
Hey everyone, I am sorry for taking your time, but really need some guidance here. So I am in Equity Research, aiming to start my own fund in a 5 year time. I am at that stage of life wherein I really need to use AI because I see a lot of juniors becoming really good, as in self generating reports, valuations, websites, automating tracking sectors, etc. I do know what I want fr
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
How do you use AI a lot without slowly outsourcing your own ability to think?
I’ve been thinking about this because I use AI pretty heavily, and I noticed a problem that I don’t think “just tell the AI not to agree with you” really solves. I already have instructions telling it things like: don’t assume my framing is correct, challenge my assumptions, look for better alternatives, prioritize evidence, etc. But in normal conversations I still run into thi
How I made Claude generate images and videos from inside claude.ai: one skill, one API key
Claude does not make images or video by itself but you can hand it an api through a skill. I picked kie. ai for this because one key covers a bunch of models for both images and video and it runs on prepaid credits. Twenty five dollars got me five thousand credits with no subscription needed. Any rest endpoint should work the same but this one meant I did not need five separate
How long of a chat thread do you use to fix a bug or implement a feature using your AI coding agent?
I am interested in understanding how people interact with an AI agent performing coding tasks for you. For example, for a bug fix, do you explain the bug, then iterate with the AI agent in the same thread until the bug is fixed, tested, and deployed? Or do you use separate chat threads for each stage of your development workflow? Similarly for new features, do you scope the fea
How to get better at using AI?
Im building stuff but I often think that I’m not using AI right. Is there a way I could identify this easier, it doesn’t help that AI agrees with everything. Is there a rule i could implement that would have the ai point out when I’m making mistakes/inefficiencies? What could this prompt be? Or are there other ways to improve? Thanks! submitted by /u/Sarlo10 [link] [comments]
How to keep track of prompt changes?
I'm starting to believe that keeping production prompts in the codebase is one of those decisions that feels harmles until you have to explain a quality drop. At the moment, we’ve got prompts scattered all over the place. Some are in config files, some live in helper functions and a few are buried who knows where. Then someone tweaks the prompt, someone else changes the model a
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
I built a Popperian Falsification Prompt to stop LLM confirmation bias (Testing your plans against plausible black swans)
Most people use LLMs in a confirmatorily biased way: "Tell me why my business plan is great" or "How do I implement X?". This triggers the model's RLHF pleasing bias. Inspired by Karl Popper’s principle of falsifiability, a friend and I designed a prompt framework that flips this dynamic. Instead of validating your idea, it forces the AI to act as a harsh auditor and attempt to
I built a TUI that interviews you on missing gaps in your project prompts
Whenever I start a project, I write a detailed specification—or “seed prompt”—before asking a coding agent to build anything. This often gets me close to a working first version, but I still miss decisions that exist only in my head. The agent then has to guess. I built specfill to catch those gaps. It analyzes the specification, researches the topic, and interviews you one que
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 recovered the prompts behind OpenAI's own GPT Image 2.5 example images, 278 of them
OpenAI published a lot of example images with the GPT Image 2.5 announcement without the prompts behind them. I worked back from the outputs, reconstructed the prompts, and collected 278 of them into a repo, sorted into reference fidelity, precision editing, style, and complex layout and typography. https://github.com/AtlasCloudAI/awesome-gpt-image-2.5-prompts Patterns that sho
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 turned Wikipedia's "Signs of AI Writing" into an open-source self-edit checklist skill for LLM agents
Wikipedia editors have spent months cataloguing submissions to figure out what gives away AI-generated text. They compiled a detailed community guide called Signs of AI Writing. I turned that guide into an open-source self-edit agent skill called Writ: 👉 https://github.com/Avinashricky211/writ What it catches: • Stock vocabulary: "delve", "tapestry", "testament", "seamless", "r
I used AI as a "requirements interviewer" on a 17-page spec and it found ~400 inconsistencies. Full prompt inside.
PM here. A few months ago I got handed a 17-page functional spec that "looked fine". Instead of asking AI to rewrite it, I tried the opposite: I told it to *interview me* — closed multiple-choice questions only — about every gap, contradiction and ambiguity it could find. It generated hundreds of questions. I answered \~300 in one afternoon (just picking letters: "Q12: B", "Q13
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
I was spending more time writing prompts than actually working. This simple system fixed it.
I’ve been using AI daily for about a year now (ChatGPT, Claude, etc.). My biggest bottleneck was always the same: typing out long, specific instructions to get the output I wanted. I found a cheat code recently that I wanted to share with you guys. It’s a system of "Slash Commands" (like /viral, /summarize, or /mindmap). Instead of writing a paragraph, I just type one command.
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
I'm on the hunt for a system prompt that makes Claude only answer the question or do the task I told it to do and nothing else. Anyone has one?
UPDATE: I've found a lot of garbage in my system prompt, so got rid of all of that and made some stronger restrictions. Read my top level comment for the current prompt. ORIGINAL POST: I use Opus 5 most of the time. I'm getting tired of it always overdoing whatever I ask from it. For example: In the middle of a somewhat long chat, I asked it to "commit changes and push to main.
Is anyone else annoyed that AI prompting is basically solo mode at work?
Been noticing this at my job: everyone on my team is using AI daily now, but every prompt lives and dies in that one person's chat window. No sharing, no reuse, nothing. The part that bugs me most — I'll find out weeks later that a coworker independently wrote basically the same prompt I did for the same recurring task, just phrased slightly differently. We're both reinventing
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
i started putting wrong examples in my prompts. it works better than the right ones.
so i noticed something weird last week was building a prompt to classify support tickets. bug report vs feature request. standard few-shot, gave it 3 clean examples of each. worked fine on my test data then threw a real ticket at it and it got it wrong. "the export button is too slow, we need this fixed" - it called that a feature request. which, fair, it kind of is. but the cu
i stopped asking AI to write stuff. i make it choose instead. the difference is wild.
so i noticed something annoying. whenever i asked AI to write something - email subject, product description, whatever - the result was always fine. never bad, never great. just fine kept tweaking the prompt. "make it punchier." "more casual." still fine then one day i was too lazy to write a prompt so i just pasted 5 subject lines id written myself and asked which one was best
i've been using 3 one-word codes instead of writing full prompts. AUTOPSY has talked me out of two bad ideas already
Instead of typing out the same long instructions every time, define them once and trigger them with a single word for the rest of the chat. Paste this to switch them on: For the rest of this conversation, treat these as instructions whenever I use them: AUTOPSY = assume this already failed. Work backward and tell me exactly why it died, every weak point, in order of what killed
Jeff Dean on MoE, TensorFlow Regrets & Why He Left Google After 27 Years
Jeff Dean, co-creator of MapReduce, BigTable, TensorFlow, and Google Brain, sat down at the 2026 Frontier & Pioneer Symposium for a rare retrospective on 27+ years of systems architecture, and his new venture, Discovery Loop. This is the kind of talk that's dense enough to warrant a slow re-watch; here's the signal, stripped of the noise. Key Takeaways: MoE before it was cool:
Linus Torvalds Skill/Soul or how I distilled the knowledge for code reviews from 32~k emails
https://daniele.tech/2026/09/linus-torvalds-skill-soul-or-how-i-distilled-the-knowledge-for-code-reviews-from-32k-emails/ A report about the changes after the first announcement and all the improvements, including Soul.md (with profanities), 4 different version Skill/Soul from 4 different LLMs, a comparison with/without skills and a reproducible pipeline. submitted by /u/Mte90
MarkPad. A lightweight Markdown editor for Mac and Windows
MarkPad is the cleanest and simplest md editor I could possibly think of. I built it because every option I found was paid, not cross platform, too heavy, or it just showed me the raw syntax rather than the document. 3.3 MB. No account, no sync. Free and open source. Let me know what you think! ➡️ https://shiphrahx.github.io/MarkPad/ submitted by /u/-Shiphrah [link] [comments]
Model selection is now a engineering problem for us
When we started building with AI choosing a model felt like a one time decision cause we'd evaluate a few options then pick the one that fit the use case and move on. That hasn't really been the case anymore cause every new model release sparks another round of testing + every team has slightly different priorities and before long we're maintaining integrations with providers w
Most people tell AI what to do. Very few people show it what "good" looks like.
One of the easiest ways to improve AI outputs isn't writing longer prompts. It's giving examples. Instead of this: «Write a product description.» Try this: «Write a product description following this structure: - A short opening hook - Three benefit-focused bullet points - A professional but friendly tone - End with a clear call to action» Notice what's different. You're no l
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
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
Prompt Optimizer skill.md
I wanted to share a custom skill I created. Many prompt-optimization templates suffer from "bloat"—they often take a simple request and turn it into a massive, overly complex prompt, or they accidentally alter technical details like code snippets, file paths, and generator flags. To solve this, I built a meta-prompting skill designed to classify the context of the user's prompt
Prompt Share | Tried turning supermarket packaging into a retro textured poster
i’ve been playing with prompts that take really ordinary objects and push them into a more graphic, poster-like direction. The goal was to make it feel like a mix of screen printing, retro grocery packaging, flat illustration, grainy texture, and editorial poster design. What helped most was keeping the object simple, then adding very specific design cues like barcodes, promo s
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
reverse image search your own face and see everywhere your photos got reposted without you knowing. takes two minutes and it's actually unsettling
Didn't expect anything, mostly did it out of boredom. Took a photo of myself I use everywhere, my Instagram profile pic basically, dropped it into google lens. Found it on three sites I've never heard of, one was some kind of profile aggregator with my name attached to it. Two minutes, no ai account needed for this part even, just: Go to images.google.com, click the camera icon
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 asking chatgpt to explain things and make it draw them instead. it generates actual handwritten-style note pages and diagrams, not text
Most people paste a chapter in and ask for an explanation, then read it once and forget it. The version that sticks is asking for an image instead, because you remember a picture you looked at for thirty seconds better than a paragraph you skimmed. It draws actual note pages. Type the code, paste the material: /generatehandwrittenimage [paste your notes or chapter] You get a fu
Stop describing your tone to an AI writing tool. Make it reverse-engineer it instead.
Every "write in my voice" attempt I made used to be me listing adjectives. Casual but professional, confident not arrogant, and so on. The output always came back sounding like a brand guideline wrote it, because adjectives are not a style, they are a vibe. What actually works is making the tool extract the rules from your own samples first, then write against those rules. Two
Stop pasting paragraphs onto slides. This prompt rewrites your text into slide-ready lines plus speaker notes
The most common deck mistake is dumping full sentences onto the slide and then reading them out loud. This prompt splits the load: short lines on the slide, the real detail in the notes where it belongs. ``` Rewrite the text below for a presentation. Split every point into two layers. Text: [PASTE] For each slide: - ON SLIDE: a short headline (a claim) and up to 3 bullets, each
Stop treating your AI like a senior engineer, treat it like a genius intern
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
The 5 prompt sequence I run before committing to any plan, because one prompt never argues with itself
Single prompts have a flaw when you use them for decisions: whatever you ask for, you get. Ask for a critique and you get a critique, ask for a plan and you get a confident plan. What you never get from one prompt is a real argument, because the model cannot be for and against something in the same breath. So for anything that matters I run this as five separate messages in one
The cheapest prompt optimisation I found this year was deleting the navigation from context entirely
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
the one line that fixes like 80% of bad prompts, for the non-technical people i keep teaching
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
The prompt I paste before I trust any AI report generator with a messy spreadsheet
I'm an ops analyst and I try way too many tools. Too many tabs open at any given moment. The problem with comparing AI tools on real work is that they all look great on a clean demo and fall apart on an actual messy export. So I stopped judging them on the answer and started forcing them to show the work first. This is the prompt I paste before I let any AI report generator tou
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
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 read through Anthropic's Claude Fable 5 documentation so you don't have to: Here is the optimized prompt architecture for narrative depth and complex reasoning
Anthropic's latest technical insights for Claude Fable 5 highlight its remarkable capacity for nuanced storytelling, rich multi-character reasoning, and intricate instruction-following. However, getting Fable 5 to consistently sustain complex narrative worlds and strict logical constraints without drifting off-track requires a tailored structural framework. Digging through page
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]
What’s your favorite prompt to enter prior to, the main idea?
Usually, I’ll enter a certain dialogue option. “Explain it to me like I’m five” or “include sources for counter arguments” submitted by /u/AdGlass444 [link] [comments]
Where do I start if I’ve never used AI or computer languages before? How do I learn how to use these tools?
I don’t know where to begin. submitted by /u/IAmAlwaysCorrect9326 [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 best prompt for ChatGPT daily Briefing?
Trying to get most out of AI submitted by /u/GuardianOfGoodEnough [link] [comments]