Insights That Matter Today
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Your Models Aren’t Failing. Your Observability Is.
Why this matters this week Most teams now have at least one machine learning system in production. Fewer have any credible way to answer: “Is this model still working as expected?” “What changed in the data between last week and this week?” “What’s our all-in cost per correct prediction?” Over the last year, the bar…
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Your RPA Bots Are Fragile. Here’s the AI Automation Stack That’s Replacing Them.
Why this matters this week The “agents will run your business” narrative is everywhere, but most production teams are still here: A pile of brittle RPA scripts glued to legacy UIs A handful of copilots that help humans, but don’t autonomously move tickets or money A spreadsheet of “AI POC ideas” with no clear path…
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Shipping with a Bot Co‑Pilot: What Actually Changes in Your SDLC
Why this matters this week AI code generation and “developer copilots” are no longer POCs on side projects. They’re starting to touch: Production code paths Security-sensitive logic Release and testing workflows The conversation has shifted from “Can it write code?” to “What does this do to our SDLC, risk profile, and cost structure?” Three concrete…
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Solid-State Batteries Are Getting Real, But Their Constraints Are Brutal
Why this matters this week If you build or bet on electric vehicles, grid storage, or anything that touches large-scale electrification, solid-state batteries (SSBs) are no longer a distant R&D curiosity. They’re creeping into the uncomfortable “you have to form an opinion now” phase. In the last few weeks: Another major automaker confirmed a specific…
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Stop Hoarding Prompts: A Pragmatic Guide to AI Privacy, Retention, and Policy-as-Code
Why this matters this week Over the last month, three patterns keep coming up in conversations with engineering leaders: “Legal just froze our AI pilot.” Because nobody can answer simple questions like: Where does user data go? How long is it kept? Who can see it? Can we prove that? SOC2 / ISO auditors are…
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The AWS Serverless Tax: Where You’re Overpaying (and Breaking Reliability) Without Noticing
Why this matters this week Multiple teams I’ve spoken with in the last month have quietly rolled back “fully serverless” stacks on AWS—not because serverless doesn’t work, but because: Costs were unpredictable and often 2–5x the EC2 equivalent. Latency SLOs were getting blown up by cold starts and fan-out patterns. Observability degraded to the point…
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