Stop Overpaying for Inference With AI Model Routing
Most coding-agent requests don't need a frontier model. Across a million-plus requests a month, intelligently routing AI inference with Actualyze costs over 60% less than sending everything to a frontier model.
Token Compression Is the Wrong Way to Cut Your AI Bill
Tools like RTK and Caveman have promised coding agents 60 to 90% fewer tokens. Priced on the actual bill, the savings mostly vanish and some runs cost more.
The Questions Have Changed
Two days at The AI Conference, more than 200 conversations, and one more round of proof about the current state of enterprise AI.
Ai4 2026: Three Days on the Floor, One Question
Actualyze AI at Ai4 2026: what 12,000 attendees, the Hinton–Li–Ng keynote, and three days of enterprise conversations revealed about the shift from adopting AI to governing it.
The Foundation for Enterprise AI Is Here
We're introducing Actualyze AI, the foundation for enterprise AI, and announcing our $7M seed round. Here's what a year with enterprise teams taught us about ungoverned AI, and what we built because of it.
I Need to Stop Being Amazed
A veteran engineer keeps being astonished by what AI tools can do at full scale, and grapples with the harder challenge of convincing other senior engineers to move beyond "help me write this function."
The Gap We Haven't Named Yet
If AI tools compress the years of hands-on coding that once built senior architects, what replaces that path? A veteran engineer examines the growing gap between junior developers and the architectural expertise the industry still desperately needs.
AI Made the Codebase Feel Shared
AI coding tools changed more than productivity for our team. By lowering the cost of contribution across the codebase, they shifted collaboration from implementation details to intent, and made the whole system feel like shared ground.
NVIDIA GTC 2026 Recap
A firsthand look at NVIDIA GTC 2026 in San Jose, covering the keynote highlights, the rise of Agentic AI, data readiness as the real competitive moat, robotics breakthroughs, cloud inference economics, AI security gaps, and what it all means for enterprise AI strategy.
