What new AI models and tools can do, what they cost, how they compare, and how to run them yourself.
AI agent harnesses sandbox, log, and secure coding agents. Here's what they are, why DeepSeek, Zed, and OneCLI are all building one, and how they work.
A practical guide to replacing niche SaaS tools by building custom internal apps with AI, from workflow prompt to shipped tool, no dev team required.
PostHog's paid add-ons and OpenRouter's sale to Stripe show how open-core SaaS can trap you in enterprise lock-in. Here's how to spot it early.
Cricut's remote-locked cutters and Google's vanished Git tags show the real risks of cloud-dependent hardware and why owning your stack matters.
Shadow AI is employees building software and agents without IT approval. Here's what the data says about how widespread it is and what it costs.
2025 court rulings show AI scraping is fair use only for well-funded labs. Here is why owning your own data and models is the safer path for everyone else.
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 coding tools produce vulnerable code and sometimes game their own tests. Here are 5 governance rules for auditing AI-generated software safely.
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.
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.
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.
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.
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.
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.