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Prompt Engineering

3 guides on prompt engineering.

A layered cut-paper collage: the side of a deep navy paper ship's hull fills most of the frame against a warm sand paper background. Terracotta and cypress green paper crates and bales, tied with sand-colored straps, are stacked above the gunwale. Right of centre on the hull is a golden paper load-line mark, a ring with a single horizontal bar through it, and below it torn strips of teal and ocean-blue paper form layered waves along the bottom of the frame. Every shape shows paper grain and casts a soft short shadow.

October 21, 2026 · 7 min read

How Much Context Should You Give AI? Too Little vs. Too Much (October 2026)

How much context to give ChatGPT, Claude, or Gemini: why too little gets generic answers, why too much buries what matters, and a simple three-part test.

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A flat-vector illustration on a soft seafoam teal watercolor wash: a large round deep navy ship's porthole with golden bolts fills the center of the frame. Through its glass, a calm sea shows only three chosen things: a terracotta lighthouse on a dark green headland, a deep blue buoy, and a thin dotted golden line joining them. Outside the porthole, small pale paper-like shapes in sand, gray, and lavender drift loosely on either side.

October 5, 2026 · 7 min read

What Is Context Engineering? A Plain-English Guide (2026)

Context engineering is deciding what an AI has in front of it when it answers. What the term means, how it differs from prompting, and the version for you.

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A flat-vector illustration of a brass navigator's compass setting a bearing over an antique nautical chart, a single golden heading-line extending ahead while faint instruction notes wait off to the side, on a deep teal field with azulejos-blue and ochre accents.

June 24, 2026 · 4 min read

Direction Before Instructions: Why a Better Prompt Won't Make AI Less Generic

You can write the perfect prompt and still get a generic answer. Here's why — the difference between giving your AI instructions and giving it direction, and why durable context, not better prompting, is what finally makes AI sound like you.

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