How IT teams use AI, how to do it well, and what it means for your job. Written for people who keep the systems and laptops working, not people who build models.
Cloud billing bugs and API overage fees are pushing companies back to self-hosted, open-source tools. Here's the real math on cloud API cost overruns.
AI copilots let one developer do what used to take a team. Here is what the research actually shows and what it means for build vs buy.
Employees are running local LLMs and AI wearables outside IT's view. Here's what shadow AI actually costs and exposes, with real breach data.
Electron apps idle at 10x the memory of native ones. Here's the real, sourced comparison behind why teams are moving to Swift and Rust for internal tools.
Skip the Figma seat. Learn how teams extract DOM structure and use Claude to generate real, reusable UI components instead of renting design software.
Employees are shipping real apps with AI coding tools, often insecurely. Here's how IT governs shadow AI software without killing the speed.
Local LLMs feel dumb because of defaults, not weak models. Fix context length, quantization, chat templates, and sampling to close the gap with APIs.
A practical howto on self-hosting your company's AI stack: break-even math, open models like DeepSeek V3, and tools like SIE and FreeToken.
Employees are bypassing API costs with free Claude proxies and rogue bots. Here's how to govern shadow AI without killing the speed that makes it valuable.