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Deep-dive guides on AI agents, agent orchestration, MCP, and developer tooling.
28 posts found
Where AI Actually Works in Telecom: Self-Organizing Networks, Robocall Detection, and the RAN Latency Problem
From antennas that retune themselves in milliseconds to the scam-call filter that silently screens your phone, telecom runs some of the largest and least forgiving ML deployments in production. Almost none of it looks like a chatbot.
Where AI Actually Works in Gaming: Voice Moderation, NPC Dialogue, and the Procedural Generation Reality Check
Call of Duty already runs AI on live voice chat to catch harassment in real time, and Microsoft trained a world model on years of Xbox gameplay. But the 'AI will write your NPCs and build your levels' pitch is running years ahead of what's actually shipping.
Where AI Actually Works in Marketing: Programmatic Bidding, Generative Creative, and the Attribution Crisis
From Performance Max's black-box bidding to Coca-Cola's uncanny AI holiday ad, marketing bet on AI years before it had reliable measurement to prove any of it works. Here's where it actually delivers, and where attribution is still the unsolved problem.
Where AI Actually Works in Government: Citizen Chatbots, Fraud Detection, and the Due-Process Problem
Government AI splits into two very different tracks: citizen-facing chatbots that have to be boring and accurate, and back-office risk-scoring systems that have already produced real due-process failures. Here's how each actually works today.
Where AI Actually Works in Real Estate: The Zestimate Reckoning, AI Leasing Agents, and the New Disclosure Laws
Zillow lost over $500 million learning that a pricing model is not a trading strategy. Five years later, AI has quietly taken over apartment leasing and lease abstraction, while a new wave of state laws forces agents to label every AI-touched photo.
Where AI Actually Works in Energy: Forecasting, Digital Twins, and the Datacenter That Learned to Negotiate With the Grid
AI is already reshaping the power sector, but the clearest wins are boring forecasting and maintenance systems, not the AI-controls-the-grid story. The newest twist is AI datacenters themselves being turned into flexible grid assets.
Where AI Actually Works in Logistics: Route Optimization, Driverless Freight, and the Data-Quality Wall
Driverless trucks are now billing customers on real Texas highways, not just demoing for reporters. Here's what's actually shipped in logistics AI versus what's still a slide deck.
Where AI Actually Works in Hiring: Resume Screening, Interview Scoring, and the Bias Audit Laws Catching Up to It
From Workday's algorithmic screening lawsuit to NYC's mandatory bias audits, AI hiring tools are now mature enough to be regulated, and the regulations are starting to bite.
Where AI Actually Works in Retail: Cashierless Checkout's Walkback, Demand Forecasting, and the Personalization Ceiling
Amazon quietly pulled Just Walk Out from most of its Fresh stores in 2024, which makes a good starting point for separating retail AI that actually works from the version in the marketing copy.
Where AI Actually Works in Insurance: Claims Photos, Underwriting Models, and the NAIC Compliance Gap
AI in insurance is furthest along in the parts of the workflow farthest from a payout decision, like damage photos and fraud flags. It stalls hard exactly where a model output decides who gets paid or covered.
Where AI Actually Works in Scientific Research: Protein Design, Materials Discovery, and the GNoME Lesson
AlphaFold's Nobel Prize and GNoME's 2.2 million materials both got real headlines, but the honest story is about candidate generation, not discovery, and the gap between those two claims is where the hype lives.
Where AI Actually Works in Education: Tutoring, Grading, and the Detection Problem That Won't Die
AI tutoring, autograding, and language apps are shipping to millions of students, while AI-cheating detectors keep getting disabled. A grounded look at what works, what doesn't, and the boundary that explains both.
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