AI Map Prompt Writing Guide

Good prompts reduce iteration time. Instead of asking for everything at once, define one clear objective per step: where the camera goes, what gets emphasized, and how long it should stay visible.

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Prompt pattern

Use this four-part structure for each step:

  1. Location target
  2. Camera action
  3. Visual emphasis (border, fill, icon, label)
  4. Timing instruction

How location resolution works

  1. @mentions resolve exact places from the picker first.
  2. Then the system tries database matching for location names.
  3. If needed, it applies an AI coordinate fallback for unresolved names.
  4. If still unresolved, add country/region context or provide [lng, lat].

Example prompts

Show Europe, zoom to Italy, trace Italy border in white, hold for 2 seconds.

Start over East Asia, fly to Seoul, add label, then pan to Tokyo and pulse border.

Open world view, rotate slowly, then zoom to Brazil with green fill and 1.5-second hold.

Common prompt errors

  • Too many effects in one line.
  • Missing timing instructions.
  • Ambiguous location names without country/region context.
  • Conflicting camera actions in the same step.

If output still feels off, keep the prompt simple and refine in manual editor mode.

Animaps capability mapping

Prompt quality improves when you map instructions to concrete animation primitives and keep one primary intent per step.

flyTopanTozoomInOuttraceBorderfillLandaddLabeladdIcon

Preview & Editor advantage

AI prompts and templates create the draft. You can then preview and edit every step in depth (location, zoom, opacity, border width, colors, bearing, tilt) before rendering. Credits are used only when you export the final video.

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FAQ

What makes a good AI map prompt?

A strong prompt specifies location, camera action, visual emphasis, and timing in one concise instruction per step.

Should I write one long prompt or multiple short steps?

Multiple short steps are usually more reliable and easier to refine than one long, complex instruction.

How do I reduce prompt ambiguity?

Use explicit place names, add country/region context for ambiguous names, and prefer @mentions when possible. For edge cases, provide [lng, lat] directly.

Can I reuse prompt templates across projects?

Yes. Template-based prompts improve consistency and speed, especially for recurring content formats like travel explainers or news segments.