The decision to centralize AI infrastructure into a platform team usually comes after a period of decentralized pain. Three product teams independently built model serving pipelines. None of them shar

The framing of AI systems as either "copilots" (human-in-the-loop, AI assists) or "autopilots" (human-out-of-the-loop, AI acts independently) has dominated the conversation about AI autonomy for two y

You search Google for "bank account interest rates." The first result is an advertisement for a bank. The second is a comparison site. The third is a news article about the Fed's latest decision. The

Single-agent applications — one LLM, one set of tools, one task — are straightforward to build and debug. The agent receives input, calls tools, produces output. When multi-step reasoning or collabora

An online travel agency processed 2.3 million flight searches per day. Each search triggered a pricing computation that determined the displayed fare for every matching itinerary. The pricing computat

Legal review scales poorly. A contracts team can process a certain volume per person per week. When the business grows, the team either grows proportionally or contracts queue up behind review capacit

Commercial aviation has a fatality rate of roughly 0.07 deaths per billion passenger miles. This is not an accident of technology. It is the result of a safety culture that was built, over decades, fr

Most AI systems in production operate with observability that was designed for traditional software. Teams monitor CPU, memory, network, and error rates. These metrics tell you whether the server is r

The legal landscape for web scraping shifted twice this quarter, and the changes affect any organization that scrapes web data for AI training, RAG pipelines, or market intelligence. First, a US fede