Enterprise AI
Agentic SRE and the Autonomy It Earns
Agentic SRE should earn authority one capability at a time. Human owners decide the limits; SRE brings the operational evidence.
Enterprise AI
Becoming a Full Stack Builder
The title is new; the anxiety is familiar. Start with one bounded project, keep your expertise visible, and ask employers what authority, support, and fair terms come with broader work.
Enterprise AI
Fiverr’s AI Pivot Is Unproven: Who Gets to Move Up?
Fiverr is chasing bigger projects as buyers leave. AI is shifting freelance demand, but its gains don’t reach every worker.
Enterprise AI
Policy as Code Isn't Enough: Prove the Control Ran
A policy file describes intent, not what happened in a live run. Follow Bernstein’s evidence paths to see what reaches the live route, what gets recorded, and what still requires human judgment.
Enterprise AI
Jev and Laya Put Probability Where Enterprise Workflows Need It
Rules work until messy humans touch them, and generative models ramble when code needs an exact answer. Jev and Laya turn that gap into a measurable, governable component.
research
Mozilla's 6 Open Source AI Recommendations Every Business Should Be Watching
Mozilla's new report turns the open-weight AI debate into six practical recommendations for businesses that want the freedom to change models without surrendering the harness, state, permissions, or economics around them.
Case Studies
Airbnb's AI Bet: Culture Before Cost-Cutting
Airbnb says culture, not model access, will decide who wins AI. Its flat-headcount experiment raises a harder question: where did the recovered capacity go?
Enterprise AI
Digital Twin Engineering: Test APIs Fast Without Blowing the Bill
Before an agent spends against a paid API, rehearse the workload locally. This Coffee Finder demo shows the cost, evidence, and limits leaders need to see.
AI Strategy
You Want a Software Factory? Ready Your Repositories First.
Coding models are not software factories. Repository context, bounded authority, verification, recovery, and feedback turn generated code into trustworthy change.
AI Strategy
When AI Spending Caps Become Permission Systems: Control Runaway Tokens Without Capping Experimentation
CTOs need AI spending controls. The wrong control surface can make engineers absorb production uncertainty and suppress the experiments that create leverage.
AI Strategy
The AI Hiring Reversal: Why Headcount Reduction Was Always the Wrong Goal
AI can make people more capable. It cannot replace the people who keep service, quality, and judgment from becoming invisible costs.
Enterprise AI
QA Is Becoming the Control System: Test the Factory, Not Just the Code
When coding agents accelerate implementation, QA must move upstream. Put quality professionals at the center of intent, authority, evaluation, and learning.
AI Strategy
Your Org Chart Is Your Rate Limiter: Why AI Transformation Depends on Organizational Infrastructure
MIT NANDA found that 95% of organizations received no return from generative AI. The limiting factor is organizational infrastructure, not model capability.