Articles
Why Every AI Model Comparison Is Out of Date
We audited our own directory of 251 AI tools against the vendors' own docs. Thirteen of fourteen flagship model entries were wrong — by whole generations. Here's why model content decays faster than anything else, the three traps in the current lineup, and how to verify anything in a minute.
How to Run an LLM Locally
Local inference is one command now, so the real questions are which model, at what quantization, and whether it's worth it. The memory arithmetic that decides what your machine can run.
n8n vs Zapier vs Make
Three things this comparison gets wrong everywhere: n8n is fair-code, not open source; Make bills in credits, not operations; and Zapier's app count is quoted low. Read from the vendors' own pages on 15 August 2026.
What Is Function Calling?
The model does not call the function — it emits a structured request and your code decides whether to honour it. Everything about designing, debugging and securing tool use follows from that one fact.
LLM Temperature and Sampling Parameters
Temperature is not a creativity dial and lowering it does not make output more accurate — it makes it more consistent, fabrications included. What temperature, top-p and top-k really control, and what to set.
What Is AGENTS.md?
A README for agents: exact commands, enforced conventions, hard boundaries, and how to verify work. Used by 60,000+ projects and 25+ tools — and a stale one is worse than none, because the agent trusts it.
AI Agent Frameworks Compared
Star counts and last-push dates measured directly from the GitHub API on 15 August 2026, not repeated from a listicle — including the widely-recommended framework that is now officially in maintenance mode.
What Is a Vector Database?
Specialised infrastructure for approximate nearest-neighbour search, trading exactness for speed. Under about a hundred thousand vectors, brute force or pgvector will serve you better than a new service to operate.
What Are Embeddings?
An embedding turns text into coordinates where distance approximates similarity of meaning. Excellent at paraphrase, weak at negation and exact identifiers — and the benchmark built to rank them found no model dominates.
What Is a Context Window?
The context window is working memory measured in tokens, shared by your prompt, history, retrieved documents and tool schemas alike. Research shows models use it unevenly — strong at the edges, weak in the middle.