The Journal
Thoughts on enterprise AI, product development, and the future of technology.
Shadow prompts create risk at scale. How a governed library of reusable AI assets democratizes access without losing oversight.
Coding speed is rarely the bottleneck, intent ambiguity and spec drift are. How an agentic, contract-centric SDLC keeps AI code coherent.
AI spend is the new cloud bill. How a BYOK routing layer turns LLM cost into a controlled, auditable line item.
How we achieved sub-10ms inference times for computer-vision models running on edge devices.
How we ship features multiple times a day without breaking production.
Moving from experimentation to production is the hardest step in AI.
85% of enterprise AI projects never make it to production. Here's how to build a strategy that works.
Your LLM deployment is only as secure as its weakest guardrail. Here's how to defend against the real threats.
While you're debating budgets, your competitors are shipping 4× faster. The real risk isn't adopting too early.