Atıf Doğruluğu Denetçisi
Kaynak bağlantısı varmış gibi görünen fakat kanıtsız iddiaları ortaya çıkarır.
HAZIR VE KOPYALANABİLİR
Prompt Kütüphanesi
315+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.
Atıf Ağı Araştırma Planı
Tohum makaleden alanın öncü, benzer ve yeni çalışmalarını sistematik keşfetmek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Dinamik Kıyaslama Soru Üreticisi
Ezberlenmesi zor ve sürümler arasında karşılaştırılabilir değerlendirme seti oluşturur.
Karmaşık Kavramı Analoji ile Açıklama
Soyut kavramları somut örneklerle anlaşılır kılar.
Literatür Kanıt Matrisi
Aynı araştırma sorusuna yanıt veren çalışmaları yöntem ve bulgularıyla karşılaştırmak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Deepfake Doğrulama İş Akışı
şüpheli bir görüntü veya videoyu tek dedektöre bağlı kalmadan incelemek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Sosyal Medya Görseli Prompt'u
Sosyal medya için dikkat çekici görsel taslağı üretir.
Ürün Fotoğrafı Prompt'u
Midjourney/DALL-E için profesyonel ürün fotoğrafı prompt şablonu.
Yapay Zeka Olay Müdahale Planı
Yapay zeka kaynaklı üretim olaylarını teknik ve iletişim boyutlarıyla yönetir.
Haftalık Önceliklendirme Asistanı
Görev listenizi önem ve aciliyete göre gruplayıp önceliklendirir.
İnsan Değerlendirici Puanlama Kılavuzu
İnsan değerlendirmelerinde puanlayıcılar arası tutarlılığı artıran açık yönerge üretir.
İnsan İnceleme Kuyruğu Tasarımı
Düşük güvenli yapay zekâ sonuçlarını doğru uzmana ve sürede yönlendirmek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Kanarya Yayını Karar Planı
Yeni model sürümünü küçük bir kullanıcı diliminde güvenle denemek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Kırmızı Takım Bulgusu Önceliklendirme
Yapay zekâ güvenlik testlerinden çıkan bulguları tutarlı biçimde sıralamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Model Sağlayıcı Kesinti Tatbikatı
Model bağımlı ürünlerin sağlayıcı kesintilerine hazırlığını sınar.
Süreç Akış Şeması Metne Dökme
Anlattığınız iş sürecini adım adım, sorumlularıyla birlikte netleştirir.
Toplantı Karar ve Kanıt Çıkarımı
Uzun toplantı notundan yalnız doğrulanabilir kararları ve görevleri çıkarmak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Yapay Zekâ Risk Sınıflandırması
Bir yapay zekâ kullanımını etki ve olasılığa göre tutarlı risk katmanına yerleştirmek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Yapay Zekâ Tedarikçi İncelemesi
Bir yapay zekâ hizmetini satın alma öncesi güvenlik ve uygunluk yönünden değerlendirmek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Ön Yazı (Cover Letter) Yazma
Pozisyona özel, ikna edici ön yazı taslağı üretir.
Ajan Yörüngesi Denetçisi
Ajanın yalnızca sonucunu değil, sonuca giden işlem zincirini sistematik biçimde denetler.
API Hız Sınırı Politikası
Yapay zekâ uç noktalarını kötüye kullanım ve maliyet artışına karşı sınırlamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Bağlam Penceresi Bütçeleyici
Uzun görevlerde önemli bilginin rastgele kesilmesini önleyen token bütçesi oluşturur.
İstem Enjeksiyonu Tehdit Modeli
Araç kullanan bir ajanın doğrudan ve dolaylı istem enjeksiyonu yüzeylerini çıkarmak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
İşlev Şeması Sadeleştirici
Karmaşık API şemasını model çağrılarına uygun, doğrulanabilir bir sözleşmeye çevirir.
Kod İnceleme Kontrol Listesi
Bir kod bloğunu güvenlik, performans ve okunabilirlik açısından yapılandırılmış şekilde inceler.
Kod İnceleme Risk Rubriği
Pull request değişikliklerini işlev, güvenlik ve bakım riskine göre puanlamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Korumalı Alan İzin Matrisi
Kod çalıştıran bir ajanın dosya, ağ ve süreç yetkilerini en aza indirmek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
LLM Birim Test Paketi
Üretken çıktıları kırılgan metin eşitliği olmadan sürekli entegrasyonda test eder.
LLM Sunucu Yığınlama Ayarı
Model sunucusunun verimini tek bir ortalama gecikmeye bakmadan optimize eder.
Model Kayıt Defteri Yayın Kartı
Yeni model sürümünün teknik, yönetsel ve performans kanıtlarını tek kartta toplamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Pull Request Yönetici Özeti
Teknik bir değişikliği ürün ve operasyon ekiplerinin anlayacağı biçimde açıklamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Semantik Yönlendirici Kural Seti
İstekleri uygun modele yönlendiren açıklanabilir ve test edilebilir kurallar oluşturur.
Veri Sızdırma Olay Müdahalesi
Bir yapay zekâ uygulamasında olası hassas veri çıkışını hızla sınırlamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Yeniden Sıralayıcı Kapasite Planı
Reranker kalite kazancını gecikme ve altyapı maliyetiyle dengeler.
İçerik Kimlik Bilgileri Yayın Planı
Kurumsal görsellerde köken ve düzenleme geçmişini görünür kılmak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Meta Açıklama (Meta Description) Yazma
Tıklanma oranını artıracak SEO uyumlu meta açıklamalar üretir.
Sentetik Medya Açıklama Rehberi
Yapay zekâ ile üretilen medya için açık ve platforma uygun etiketler hazırlamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
"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
15 non-obvious ways developers are using terminal coding agents right now
Hi all, saw a few of these "what devs are actually doing with AI agents" threads floating around and wanted to compile a cleaner list before asking my own question, because most of the "what's your workflow" posts I see get buried under generic "I use it to write boilerplate" replies. These are 21 specific things people are doing with terminal coding agents (Claude Code, Codex,
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
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'
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 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
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
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
Best Prompt to Generate Robust, Conversational, and Production-Ready Prompts?
Looking for the best prompt to give ChatGPT, Gemini, Perplexity, or any AI tool that instructs it to act as a **prompt engineering professional**. I need it to generate robust, conversational, and production-ready prompts that sound like a real person thinking—not robotic or generic. What's the prompt that works best for this? Any recommendations? Thanks. submitted by /u/Ok-Sci
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
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
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
Here's the prompt that turned my messy notes into a talk, and taught me how to make a good presentation by accident
Most of us were never taught how to make a good presentation. We were taught to fill slides. So we take our notes, dump them onto forty slides, and read them out while the room quietly checks their phones. I got tired of that and built a prompt that does the thinking step first, before any slide exists. It does not make slides. It makes the argument. I'm giving a [X] minute tal
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 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 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 guide ChatGPT to prompt more efficiently?
I’ve been testing out prompting using chatgpt and have run into this problem where chatgpt complicates a simple prompt. It’s giving me so much text that it’s burning through my tokens. How do I ask it to be more efficient, given that we’re in the middle of a project. I’m worried about messing up the quality of the prompts. Please lmk if y’all have faced this problem and how you
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
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 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 found a prompt that turns 80 pages of course material into 20 pages of comprehensive notes - Norra NotebookLM
So long story short notebookLM has been a game changer and has helped me get good grades and save tons of time and while I was exploring this is the best workflow that helped me huge chunks of data into small comprehensive course Phase 1: Preparation and Segmentation Split the Module (Crucial Step): I upload my module (usually 300–400 pages) to ILovePDF and split it into indivi
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 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 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.
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
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
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
Mythbusting ChatGPT "Secret Slash Commands" + Free Image Preset Keyword List
Lately, I've seen tons of posts hyping up "secret codes" for ChatGPT image generation that use slash commands (as if they're special prompt triggers). I tested them out both with and without the / prefix—and the results are identical. The slash prefix does nothing; they are just standard descriptive keywords being passed to the model. To save you the trouble of hunting them dow
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
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
The "Galician Gene" Directive: Forcing LLMs to ask for context instead of hallucinating (and reducing token waste)
TL;DR: I developed a system prompt ("Galician Gene") that forces LLMs to ask for missing context instead of guessing or hallucinating. It drastically reduces token waste, stops encyclopedic verbosity, and acts as a stress test to separate truly smart models from rigid ones. The prompt and documentation are below. Why "Galician Gene"? This is a nod to a Spanish cultural stereoty
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 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
The prompt I paste to turn a raw meeting transcript into a recap plus a short update deck
Post-meeting I need two different things from the same transcript: a recap people can skim, and a few slides for whoever wasn't there. Doing both in one pass used to give me mush. Splitting the ask fixed it. ``` Below is a raw meeting transcript. Produce two things, clearly separated. PART A - Recap (for people who were there): - Decisions made (just the decisions, not the deba
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
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
Podcast Ses Onarım Zinciri
Podcast sesini doğal karakteri bozmadan yayın standardına yaklaştırır.
Sesli Ajan Gecikme Bütçesi
Sesli konuşma akışındaki gecikmeyi bileşenlere ayırıp ölçülebilir hedeflere dönüştürür.
Analiz Notebooku Tekrar Üretilebilirlik
Notebook sonuçlarının yalnızca geliştiricinin oturumunda çalışmasını önler.
Canlı Kıyaslama Veri Seti Bakımı
Kıyaslama setinin güncelliğini ve güvenilirliğini koruyan yönetişim süreci tasarlar.
Dayanıklılık Stres Testi
Modeli gürültü, eksik veri, dil değişimi ve sıra dışı girdiler altında sınamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Gölge Dağıtım Değerlendirmesi
Aday modeli kullanıcıya göstermeden gerçek trafikte mevcut sürümle karşılaştırmak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Graph RAG Uygunluk Analizi
Bilgi grafiği yatırımını somut soru türleri ve maliyetle gerekçelendirir.
Model Hakemi Kalibrasyon Testi
LLM tabanlı değerlendiricinin önyargılarını kontrollü deneyle ortaya çıkarır.
Model Kalibrasyon Raporu
Model güven puanlarının gerçek başarı olasılığıyla ne kadar uyumlu olduğunu ölçmek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Model Kayması Olay Analizi
üretimde performansı düşen bir modelin kayma nedenini kanıtlarla ayırmak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Önyargı Değerlendirme Kohort Planı
Model başarısını anlamlı kullanıcı gruplarında adil biçimde karşılaştırmak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Özellik Deposu Kalite Sözleşmesi
Model özelliklerinin güncellik, doğruluk ve sahiplik koşullarını tanımlamak; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
RAG Getirme Katmanı Teşhisi
RAG hatasını üretimden önce getirme zincirinin doğru aşamasında bulur.
Veri Soy Ağacı Dokümantasyonu
Bir veri ürününün kaynaktan modele kadar tüm dönüşüm zincirini belgelemek; sonuçları doğrudan karar ve uygulama sürecinde kullanılabilecek düzenli bir çıktıya dönüştürür.
Konuşmacı Klip Seçici
Uzun konuşmadan etik ve bağlamlı sosyal klipler seçer.