Your AI App Passed the Vibe Check. Now What?
Run a few prompts. Looks good. Ship it. According to Laurie Voss, that's still how a surprising amount of AI software gets tested.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Bus Lanes and Loading Zones in US Cities: A Continuity Problem, Not Just an Enforcement One
Most bus lanes and loading zones stay blocked not because enforcement is too lenient, but because it only exists in the moments someone happens to be watching. Councils tend to read this as a compliance problem that more citations will eventually fix. Recent enforcement data points to something else. The curb is not ignored. It is watched intermittently, and violations cluster in exactly the hours nobody is looking.
Best AI Store Builders for Shopify in 2026
Most entrepreneurs underestimate how fast AI Store Builders have changed what's possible for first-time store owners. You no longer need a developer, a designer, or weeks of setup time to launch something that looks professional. The challenge now is picking the right platform, because not all of them handle product descriptions, niche targeting, or Shopify-specific setup with the same depth. After reviewing the top options across features, merchant feedback, and real-world results, this guide breaks down the five best picks for 2026.
Private cloud for AI: Why data gravity is pulling GPU workloads out of the public cloud
AI workloads have a distinctive infrastructure profile that's exposing the cost and architectural assumptions baked into public cloud over the last decade.
Teach Your AI Coding Agent to Answer Production Questions | Lightrun Ask Prod AI Skill
Lightrun's Gidi Freud demonstrates Ask Prod, the latest Lightrun AI Skill that teaches AI coding agents how to use Lightrun to answer production questions with live runtime evidence. Watch Codex use the skill to discover runtime sources, collect focused runtime data, adapt its investigation, and return an evidence-backed answer. Compatible with Claude Code, Cursor, GitHub Copilot, and other AI coding agents through the Lightrun MCP.
Language AI to physical AI explained
What is physical AI? Physical AI embeds machine learning directly into hardware, enabling algorithms to interact, move, and perform autonomous tasks in the physical world. Traditionally, robots relied on precise, hardcoded coordinates; if an object shifted by a single millimeter, the entire system failed. Today, robotics is moving past rigid automation toward truly adaptive architecture. Neural networks help machines process raw sensor data in real time. Consequently, machines can dynamically reason through the unpredictable physical world.
Ship Reliable AI Faster: How to Operate AI Agents with Control and Confidence
Replace "AI shipped on hope" with an operating model that holds up once real users depend on it. AI quality is multi-dimensional, covering accuracy, tone, safety, and faithfulness to user data, and can't be debugged from outputs alone. Without visibility into what their AI actually did in production, teams miss regressions, reverse-engineer chains by hand, and watch a single bad answer erode trust built over hundreds of right ones.
The AI vendors just started watching the meter. CFOs need to watch the return.
On June 18, OpenAI gave ChatGPT Enterprise admins new credit usage analytics and spend controls. It’s a single view of credit consumption broken down by user, product, and model, default workspace budgets, per-group limits, and a Cost API for pulling the data into their own systems. Two days earlier, Microsoft shipped Copilot Cowork with spending limits, budget allocation, usage alerts, and user-level caps. This is a step in the right direction.
AI Works in Demos. But Can It Survive Production?
AI looks great in a demo. The real test is production. In this week's Zero Ticket Minute, Ian explains why success isn't about what AI can do. It's about what it can reliably resolve.
