Practical, long-form guides to low code, AI workflows, accessible design, and publishing. Pick a question. Find a useful next step.
Ten guides. Different decisions.
Begin with a project brief, follow the work into a real page, and examine the choices around models, content, APIs, and ownership. Each article focuses on a distinct part of that process and points to relevant further reading. Browse by category to follow a broader path, or use the topic links below when you already know the question you want to investigate.
Define what a token represents before choosing infrastructure. Explore a practical record model, permission checks, provenance, recovery, and a static concept prototype.
Treat an AI integration as a small system with explicit inputs, outputs, permissions, and failure states. These patterns make low-code prototypes easier to evaluate.
Build the smallest convincing workflow that can answer a real product question, then separate what the prototype demonstrates from what a live service would require.
Choose a model around the work you need to finish. Compare deployment, quality, privacy, memory, and review effort with a repeatable project-sized evaluation.
A practical sequence for using AI in website design: establish the content, develop one representative page, inspect real behavior, and publish a coherent result.
Understand what a static export contains and how to turn a visual editing workflow into a website that can be published and maintained with confidence.
A good template remains usable after real content replaces the demo. Review structure, keyboard behavior, contrast, responsive layouts, and reusable components.