Guides
Reference-grade reads on AI, agents, design, and shipping software. Vendor-neutral, and every factual claim is cited to a primary source with the date it was last checked.
Getting started
Go from an idea to a working setup.
Prompting
Get consistently better output from any model.
Building AI agents
From a single call to a system that acts.
What an AI agent actually is
Models, tools, memory, and the loop that turns chat into an agent.
Agent vs script vs chat: when to use which
Match the autonomy to the problem; avoid over-building.
The parts of an agentic app, mapped
The core sections a serious agent app needs.
RAG and embeddings, explained
How retrieval grounds a model in your own data, using embeddings and vector search.
Skills & automation
Extend what a model can do, cleanly.
Building websites
Ship a site you can actually maintain.
How to start building a website
Idea to live: the decisions, the tools, and a checklist.
Website templates and starting points
Solid starters, and how to judge a template.
Structure a site that is easy to grow
Information architecture that does not fight you later.
Design & foundations
The principles behind interfaces that feel obvious.
The core laws of UX and UI design
The psychology-backed rules for choice, attention, and reading.
Layout, hierarchy, and reading patterns
How people scan a screen, and how to lay out for it.
Color and contrast that actually works
Accessible, legible color without guessing.
Typography basics for interfaces
Choosing and pairing type that reads well.
Search & discovery (SEO, GEO, AEO)
Be found by search engines and AI answers.
Ship & operate
Everything to check before and after you go live.
The pre-launch checklist: 13 things to check before you ship
Frontend to disaster recovery, the areas real apps break.
Plan for downtime and recovery
Backups, failover, and what to do at 3am.
Securing AI apps: prompt injection and beyond
The new attack surface when a model reads untrusted text and can take actions.
Running local AI
Run models on your own hardware.
Which GGUF quantization level should you pick?
What each Q-level costs in memory and quality.
Local runtimes compared: Ollama, LM Studio, llama.cpp
What each is for, and when to reach for which.
How to choose an AI model
Match a model to your task, hardware, budget, and privacy needs, without chasing a leaderboard.