Information architecture deliverables and AI agent testing workflows both need reliable, labeled placeholder images. This preset generates images for IA journey maps, agent interaction diagrams, flow steps, and mobile context frames.
| Name | Dimensions | Description |
|---|---|---|
| journey_overview | 1600x900 | Journey overview — 1600×900px, wide-format image for end-to-end IA journey maps |
| touchpoint | 1280x720 | Touchpoint — 1280×720px, individual touchpoint image in a user journey or service blueprint |
| agent_interaction | 1080x720 @2x | Agent interaction — 1080×720px @2x, high-DPI frame for AI agent interaction diagrams |
| flow_step | 960x540 | Flow step — 960×540px, compact image for individual steps in an automated workflow |
| mobile_context | 1080x1920 | Mobile context — 1080×1920px, full-screen mobile frame for mobile-first IA documentation |
AI agents that generate UI layouts or test web applications need a predictable image source. The PlacePack API returns deterministic images from a simple URL spec, making it ideal for agent workflows where the image URL is constructed programmatically. IA practitioners benefit from labeled placeholders that communicate touchpoint context in journey maps and flowcharts.
Use the PlacePack API to generate image URLs programmatically in agent scripts. The deterministic response means the same spec always returns the same image, making agent tests reproducible.
Populate service blueprint swimlane images with labeled placeholders at journey_overview or touchpoint dimensions. Labels communicate the actor and action at each stage.
Agents that generate HTML or React scaffolding can embed PlacePack API URLs as placeholder image sources. The API requires no authentication and returns correct Content-Type headers.
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