For people building with AI: new models, local AI, coding tools, pricing and security, explained plainly.
Skip the per-seat AI coding bill. A practitioner's guide to building your own sandboxed, self-hosted agent stack with Aider, Cline, and OpenHands.
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.
We tested open-source system prompts and skills that force Claude and ChatGPT to write like a professional, not a content mill. Here's what worked.
How ChatGPT and Claude connectors pull your company data into AI, the security tradeoffs, and why owning your knowledge graph beats renting one.
A grounded cost breakdown comparing cloud LLM API pricing to owning quantized local models, with break-even math and real benchmark data.
Employees are shipping real apps with AI coding tools, often insecurely. Here's how IT governs shadow AI software without killing the speed.
AI inference costs fell 100x in two years, yet SaaS margins stayed near 80%. Here is why the subscription price never followed the token price down.
How to build internal AI agent workflows with open orchestration frameworks and MCP, and why it beats renting per-seat agent platforms.
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.
An AI harness is the software around a language model that turns it into an agent. Here's what it does and how open-source servers use it.
Frontier AI APIs carry 5x to 50x markups over raw compute. Here is the real math on self-hosted inference, routing, and when each wins.