Story Arc · 14 stories
The Age of AI Agents
The move from chatbots that answer to agents that act — autonomous systems that plan, use tools, and get things done.
- AI NewsAutomatically redact PII in images with Amazon Nova
Amazon Nova introduces a multi-step pipeline that uses contextual vision reasoning for the redaction of PII in images, leveraging advanced tools for improved accuracy.
- Use CasesAI in Finance: How Machine Learning Fights Fraud in Real Time
Fraud detection is one of AI's most mature, high-value uses in finance. Here is how real-time machine learning models catch fraud, the false-positive trade-off, and where humans still fit.
- Use CasesAI in Marketing: Content, Personalization, and the Quality Line
Marketing was among the first business functions to adopt generative AI at scale. Here is where it delivers — content, personalization, analytics — and the quality and brand risks to watch.
- Use CasesAI in Retail: Recommendations, Demand Forecasting, and Inventory
From the recommendations you see online to the stock on the shelf, AI runs much of modern retail. Here is how it is used for recommendations, forecasting, and inventory — and what it takes to work.
- Use CasesAI in Education: Personal Tutors, and the Integrity Question
AI promises every student a patient personal tutor — and hands every student a way to skip the work. Here is where AI genuinely helps in education, and the integrity questions it forces.
- Use CasesAI in Manufacturing: Predictive Maintenance and Quality Inspection
On the factory floor, AI quietly prevents breakdowns and catches defects. Here is how predictive maintenance and computer-vision inspection work, and what deploying them actually requires.
- Weekly RoundupWeekly AI Roundup: Agents, Local Models, and the Regulation Clock
Our inaugural weekly roundup: why agents dominate the conversation, what the local-model ecosystem's maturity means for builders, and the regulatory deadlines coming into focus.
- AI ToolsPerplexity: The AI Answer Engine Challenging Traditional Search
Perplexity answers questions with concise, cited summaries drawn from the live web — positioning itself between a search engine and a chatbot. Here is what it does and where it fits.
- Use CasesAI in Customer Service: What Works, What Backfires
Customer service was one of the first big enterprise uses of AI. Here is where it genuinely helps, where poorly deployed bots backfire, and what a good rollout looks like.
- AI ProjectsLangChain: The Framework That Defined AI Application Orchestration
LangChain is the open-source framework that popularized chaining LLM calls, retrieval, and tools into full applications. Here is what it offers, and the trade-offs to weigh before building on it.
- Use CasesAI in Healthcare: Promising, Powerful, and Rightly Cautious
AI is already assisting in medical imaging and clinical paperwork, but healthcare's stakes demand caution. Here is where it helps today and why human oversight stays central.
- GuidesWhat Is a Large Language Model? A Plain-English Guide
LLMs power ChatGPT, Claude, and Gemini — but what are they, really? This beginner guide explains how they work, what they're good and bad at, and the vocabulary you need, with zero math.
- ComparisonsChatGPT vs Claude vs Gemini: How to Choose an AI Assistant
The three major AI assistants are closer in quality than the marketing suggests — which means your choice hinges on ecosystem, workflow, and use case. A practical decision framework.
- Trend ReportsThe Rise of AI Agents: From Chatbots to Software That Does the Work
The center of gravity in AI has shifted from chat to action: agents that plan, use tools, and complete multi-step work. What's real today, what's hype, and what to watch.