Extract a Page Layout for an AI Coding Agent

Contents

• [Start with the page structure](#start-with-the-page-structure)
• [Capture the visual rules an agent needs](#capture-the-visual-rules-an-agent-needs)
• [Turn observations into an implementation brief](#turn-observations-into-an-implementation-brief)
• [Use this in your AI agent](#use-this-in-your-ai-agent)

The most useful way to extract a page layout for an AI coding agent is to turn the page into a structured implementation brief: page regions, layout rules, typography, colors, components, and responsive behavior. Give the agent observed values and clear priorities, then ask it to recreate the pattern without copying content that is unique to the original site.

Start with the page structure

Begin by listing the visible regions in order, from the top navigation through the footer. For each region, record its purpose, approximate height, content width, alignment, and relationship to the sections around it. A useful outline might include navigation, hero, feature grid, proof section, call to action, and footer. This gives the coding agent a map before it starts writing components.

Next, describe the layout rules rather than only naming elements. Note whether content sits inside a centered max-width container, whether sections use full-bleed backgrounds, how many columns appear at desktop width, and where cards switch to a single column. Separate repeated patterns from one-off treatments. Repeated buttons, cards, dividers, and headings should become reusable components; unusual artwork or copy should stay page-specific.

Open the examples below and compare the first screen before borrowing a pattern. The Linear references show a near-black canvas, restrained dividers, compact controls, and a cool accent. Treat those observations as visual direction, not as a complete specification for every page.

Capture the visual rules an agent needs

Typography should be described as a small system. Record the family, likely fallback, weight, size range, line height, letter spacing, casing, and color for navigation, body text, labels, headings, and buttons. In the supplied Linear example, Inter appears in regular and medium weights, with contrast created mainly through scale, weight, and muted color rather than several font families. That is enough for an agent to establish a coherent starting point.

Do the same for color and surfaces. Identify the page background, elevated panel color, primary text, secondary text, border or divider color, accent, success or warning colors, and any gradients. Then add practical constraints such as approximate contrast, where the accent appears, and whether borders are sharp or softly rounded. Include spacing tokens for section padding, card gaps, button padding, and heading-to-body distance. An agent can implement a better result from a compact token table than from adjectives such as modern or polished.

Describe component states that are visible or strongly implied: hover treatment, selected navigation, disabled controls, focus rings, open menus, and mobile stacking. If the page is only available at one viewport, label responsive behavior as an assumption and ask the agent to preserve hierarchy rather than inventing elaborate breakpoints.

Turn observations into an implementation brief

Give the coding agent an ordered brief with three layers. First, list non-negotiables such as the page regions, container width, background treatment, heading scale, and primary action placement. Second, list reusable tokens and components. Third, list open questions and assumptions, such as the mobile breakpoint, exact font file, or behavior of an interaction that was not captured. This prevents uncertain details from being presented as facts.

A practical review checklist is: does the page have the same visual hierarchy at a glance; do sections align to the same content grid; do headings and body text preserve the observed contrast; do cards share consistent padding and radius; do buttons have clear primary and secondary roles; and does the mobile version keep the same reading order? Ask the agent to compare screenshots at desktop and mobile widths after implementation, then adjust spacing and type before adding decorative details.

For a faster workflow, capture the reference, inspect its page structure and typography, and save the result as a short design brief before asking for code. The goal is not to claim ownership of an official internal design system. It is to extract observed design details that an agent can use as a faithful, maintainable starting point.

Use this in your AI agent

> Inspect the supplied reference and create an implementation brief for an AI coding agent. Organize it into: page regions in order, container and grid rules, responsive behavior, typography roles with family and weights, color roles, spacing tokens, borders and radii, shadows or gradients, reusable components, visible states, and assumptions. Then propose a component structure and a build checklist. Treat observed details as evidence, label uncertain values as assumptions, and preserve the original hierarchy without copying unique text or artwork. Use the Linear references below only as concrete visual examples for comparing dark surfaces, muted dividers, compact controls, and Inter typography. Install Fudge for your AI agent.

Include behavior at three useful widths: wide desktop, narrow desktop or tablet, and mobile. For each width, describe the content container, column count, section padding, card arrangement, navigation treatment, and the order in which content remains visible. If the reference does not reveal an exact breakpoint, label your choice as an assumption.

Separate structural details from cosmetic ones. Structure includes the maximum content width, grid columns, section order, and whether a panel spans the viewport. Cosmetic details include a small radius change, subtle shadow, or tracking adjustment. Ask the agent to preserve structure first.

Check that the hero keeps its heading and action, cards collapse in order, buttons remain easy to tap, text stays readable, and decorative elements can disappear safely. Have the agent explain each responsive change. Use this responsive layout prompt with Fudge: Create a responsive implementation brief from the captured page, separating observed rules from assumptions and checking desktop, tablet, and mobile hierarchy.

Describe relationships and repeated rules, not only pixel positions. Instead of saying a heading begins 96 pixels from the left, say that it aligns with the main content container and shares that edge with the feature grid. For cards, describe shared padding, border, radius, title spacing, and image treatment, then note exceptions.

Use ranges when exact values are uncertain. Record a section gap as approximately 64 to 80 pixels, then ask the agent to choose one token that keeps the rhythm consistent. Separate evidence from interpretation with labels such as observed, inferred, and to verify.

Ask for a visual review after the first build. Compare hierarchy, alignment, density, and responsive stacking before polishing icons or animation. Correct the largest mismatch first: container width, type scale, section spacing, or surface contrast. Use this evidence-first prompt with Fudge: Extract repeated layout relationships, label observations and assumptions, and produce a component plan without copying unique content or artwork.

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