Insights That Matter Today
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Stop Treating ML Evaluation as a One-Off Event
Why this matters this week A pattern is repeating across teams that already have ML in production: Inference costs are creeping up 2–5x over a few months. KPIs (conversion, engagement, fraud catch rate) are degrading quietly. Data distribution looks nothing like what the model was trained on. Nobody can answer, in under 5 minutes: “Is…
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Stop Calling It an “Agent” If It’s Just a Cron Job with a LLM
Why this matters this week The AI automation conversation has shifted from “can we?” to “should we ship this to production?” In the past two weeks, I’ve seen three patterns repeat: A fintech team ripped out 60% of their RPA flows and replaced them with an LLM-driven workflow engine, cutting their “script babysitting” time by…
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Shipping with AI in the Loop: What’s Actually Working in Engineering Teams
Why this matters this week In the last year, AI-in-the-SDLC moved from “cool toy” to “we should probably have a policy for this.” Over the last month, two things changed for real engineering teams: Code models got good enough to: scaffold non-trivial features generate tests that actually catch bugs refactor legacy code with less carnage…
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Solid-State Batteries: What’s Real in 2026, What Isn’t, and How to Plan
Why this matters this week Solid-state batteries (SSBs) moved from slideware to “pilot reality” in the last 12–18 months. For engineering leaders in EV and grid-scale systems, this isn’t a vague 2035 story anymore—it’s starting to affect roadmaps and sourcing conversations today. Why you should care now: EV OEMs are signing binding offtake and JV…
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Policy-as-Code or Policy-as-Slide-Deck? Getting Serious About AI Data Governance
Why this matters this week If you’re putting LLMs anywhere near production data, you’ve quietly become a data regulator for your own company. In the last two months, three things have converged for most engineering orgs: Security teams are finally reading your AI design docs. Customers are starting to add “AI use” sections to DPAs…
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The Unsexy AWS Work That’s Quietly Cutting Cloud Bills by 30–50%
Why this matters this week AWS bills are spiking again. Across a handful of teams I’ve spoken with in the last month: One mid-size SaaS company cut their AWS bill by 42% in 10 weeks without changing customer-facing features. A fintech reduced p99 latency by ~35% while moving off an overbuilt EKS cluster to a…
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