Plain guides, templates and news for people at work: using AI in your job, what it means for your career, and where it helps at home.
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OpenAI's Astra may hit a 'Critical' threshold. Anthropic's Fable 5.1 makes multi-day autonomous agents cheap. Apple v. OpenAI shows where the data leaks.
Inference is getting cheaper, but evaluating AI agents isn't. Here's why LLM evaluation costs swing 4x-33x and quietly outpace inference spend.
AI world modeling means predicting the next state of an environment, not just the next word. Here's what it is, where it came from, and why it matters for coding agents.
Autonomous coding agents now ship production code with almost no human review. Here's why that flips the build-vs-buy math on your next SaaS renewal.
What GPU, memory, and budget you actually need to run a 27B-class model like Qwen3 locally, plus the break-even math against API pricing.
A German word explains why subscription software keeps 'improving' its way into being worse and pricier. Here's the mechanism, the cost data, and the fix.
Employees built a shadow layer of business logic into ChatGPT's memory and custom instructions. Here's how to govern it before it walks out the door.
AI coding agents can now write high-performance database code. Here's a practical framework for when to build your own infrastructure vs. buy a managed one.
What local-first software means, why developers are adopting it now, and a category-by-category map of open-source alternatives to popular SaaS tools.
Claude's browser agent can click and fill forms without an API. Zapier and n8n still run on APIs. Here's the real cost, speed, and risk tradeoff.
Nvidia's reported $12.9B bid for Hugging Face would put open-source AI's biggest hub under one chipmaker's control. Here's the impact and why owning your infrastructure matters.
GLM-5.3-Flash and Qwen3.8-Flash both collapsed AI pricing to $0.15/M tokens. Here's the real comparison and which SaaS subscriptions it makes obsolete.
An AI agent multiplexer runs and monitors multiple AI coding agents at once, like tmux with status awareness built in. Here's how it works and who uses it.
Employees are building agent swarms with no registry, identity, or owner. Here's the governance model to manage AI agents in the enterprise without banning them.
Debian, the Linux kernel, and GCC just codified AI code rules. Here's how to turn their disclosure and accountability framework into your company's policy.
Best local open-source AI and infrastructure tools in 2026: Ollama, llama.cpp, Valkey, OpenTofu, and n8n for self-hosting.
Local AI vs cloud AI cost, explained with real numbers. Why Apple's M5 Ultra and open models like Granite 4.2 change the local-versus-cloud math.
Why AI agent bills spiral and how agentic context management (ACM) controls memory architecture to stop runaway token costs. A practitioner's breakdown.
A hands-on test of running local LLMs on a Raspberry Pi 5 with a read-only Postgres role, proving cheap edge hardware can power governed internal AI tools.
A practical workflow for reviewing AI-generated code: acceptance gates, risk-based routing, dependency scanning, and where human review still matters most.
2026 data shows 25-48% of SaaS budgets go to unused licenses and duplicate tools. Here's the real breakdown and why owning software beats renting it.
CLAUDE.md and AGENTS.md files are prompts, not code. Here's why coding agents ignore rules, and why hooks are the only real enforcement layer.
Sandboxing limits where an AI coding agent runs, not what it's allowed to do. Here's why hooks, not VMs, are the real control for shadow AI risk.
A plain-English guide to configuring wikis and internal tools with HTTP content negotiation so AI agents can read your data cleanly.