What Is a Use Case? How to Define One
What is a use case? A definition of a business problem in which an actor, given a trigger and defined input, reaches a measurable output — with a success metric and clear scope.
The use case is the bridge between an abstract "let's do AI" goal and a working system. This cluster covers sector-by-sector applications, department-level scenarios and horizontal areas such as computer vision, document processing and customer service.
What is a use case? A definition of a business problem in which an actor, given a trigger and defined input, reaches a measurable output — with a success metric and clear scope.
The false-alarm economy in computer vision models: the differing cost of false positives and negatives, threshold tuning, the sensitivity-specificity trade-off, and managing operator load in production.
An AI use-case portfolio is the system that collects, prioritizes and balances scattered AI ideas. Use-case cards, value–feasibility scoring, portfolio balance and review cadence.
Where do computer vision applications work in the field and where do they stall? Scenario types, deployment realities, data-labeling load, the false-alarm economy, and model selection in one guide.
Data labeling strategy for computer vision projects: label schema, annotator agreement, how much data, active learning and quality control.
Is AI taking jobs? A realistic, task-level and occupation-level assessment against the AI unemployment fear: roles that vanish, transform, and are newly born.
AI in e-commerce moved from recommendation to action. Conversational commerce, autonomous purchasing, ROI figures, and compliance with Turkey’s August 1, 2026 advertising rules and KVKK.
Customers now convey intent to agents to start shopping. Recommendation systems, operational impact, and a readiness guide for Turkish e-commerce.
AI adoption in law doubled. A field guide to contract review, controlling hallucination with RAG, human judgment, and KVKK.
How is use-case prioritization done? The value-feasibility matrix, weighted scoring, a quick-win portfolio, a copyable template, and an example matrix guide.
What is YOLO? YOLO (You Only Look Once) is a real-time object detection architecture that locates and classifies objects in an image in a single neural network pass. This guide: a clear definition, why YOLO matters, how it works, bounding boxes and the grid, YOLO versions, sector examples from Türkiye, KVKK, comparisons, and FAQs.
What is OCR? OCR (Optical Character Recognition) is the technology that converts the text inside an image or scanned document into machine-editable, searchable text. This guide: a clear definition, why OCR matters, how it works, its types, document digitization, handwriting recognition, intelligent document processing, Turkish OCR, KVKK, and FAQs.
What is Microsoft Copilot? Microsoft Copilot is an AI assistant that embeds large language models into Microsoft products like Word, Excel, Outlook, Teams, and Windows to boost office productivity. This guide: a clear definition, M365 integration, how it works, Copilot types, licensing, KVKK and data security, the difference from ChatGPT, limits, and FAQs.
What is logistic regression? Logistic regression is a statistical machine learning model used for binary classification that estimates the probability of an observation belonging to a given class. This guide: a clear definition, the sigmoid function, odds ratio, difference from linear regression, how it works, industry examples, multiclass variants, common mistakes, and FAQs.
What is RPA? RPA (Robotic Process Automation) is a technology that automates rule-based, repetitive digital tasks with software robots that mimic the steps a human performs at a screen. This guide: a clear definition, how RPA works, types of software robots, process mining, AI with RPA, use cases, KVKK/GDPR, limits and FAQs.
What is automation? Automation is the execution of a repetitive task or process by machines, software or rules without human intervention. This guide: a clear definition, how automation works, its types, workflow automation, RPA, hyperautomation, its difference from AI, efficiency, examples, limits, and FAQs.
What is ChatGPT? ChatGPT is a generative AI chat assistant developed by OpenAI that produces text, answers questions, and completes tasks by conversing in natural language. This guide: a clear definition, how it works, its relationship to the GPT model, how to use ChatGPT, free vs paid, its limits, KVKK, and FAQs.
What is a chatbot? A chatbot is software that converses with a user in natural language to answer questions or complete a task. This guide: a clear definition, the difference between a rule-based bot and an LLM chatbot, how a chatbot works, conversation design, customer service use, GDPR/KVKK, setup steps, and FAQs.
What is computer vision? Computer vision is the field of AI that lets a machine perceive and understand the content of images and videos like a human. This guide: a clear definition, how it differs from image processing, how computer vision works, CNNs and deep learning, object detection and image classification, enterprise use cases, and FAQs.
For a freelancer, the right AI tool isn't the most expensive one — it's the one that fits the job. This guide: a task-tool matrix, toolkits by freelancer type (writer, designer, video, developer, translator, VA), client-finding and proposal tools, a day-in-the-life workflow, 3-tier cost optimization (from 0 to pro), AI ethics and client transparency, earning FX from Türkiye, and the most common mistakes — with current 2026 tools (Nano Banana 2, Kling, Cursor, n8n).
Microsoft 365 Copilot costs roughly 1,000-1,250 TL/user/month through Turkish CSPs. Is ~100K TL/month for a 100-person company actually worth it? An end-to-end decision-support guide covering Word/Excel/Teams/Outlook/Copilot Studio use cases, hard ROI math in TL, KVKK and Microsoft EU Data Boundary specifics.
After 15 years of Chrome dominance, the browser category is genuinely fracturing. I spent a week with ChatGPT Atlas, Perplexity Comet, and Dia in parallel: agent mode in realistic scenarios, Turkish search quality, KVKK risk, tab management, performance, and a decision matrix for who should use which — end-to-end practitioner guide.
If you sell on Trendyol/Hepsiburada or run your own Turkish e-commerce site: an end-to-end AI pipeline that turns a product link into a 30-second mobile-optimized ad reel. With Pika 2.2 + Runway Gen-4 + HeyGen + ElevenLabs + Suno you can produce one video for $3-8 — 60-100x cheaper than an agency. Includes Meta Advantage+ integration, 9:16 vertical format, KVKK + lip-sync caveats, and a real Trendyol seller case study.
Detailed head-to-head of three main IDE-plugin AI code assistants: GitHub Copilot (30M+ users, GPT-5 + Claude), Codeium (most generous free tier, on-prem capable), Tabnine (contractual IP protection + on-prem + air-gapped leader). Pricing, IDE support, KVKK + code leakage, enterprise readiness, Turkish developer experience, 10-scenario decision guide.
Grouped by format, newest first within each group.
AI use cases are a pragmatic decision guide — across banking, healthcare, retail, public sector and beyond — capturing the concrete business value, success metrics and reference architectures that make AI worth building.