Create young, mature, columnar, and multi-stem street trees with matched plan-canopy symbols.
Part of the Complete Architectural Entourage Prompt CollectionLast tested Jul 2026
Every generated SVG is a graphic starting point. The designer must review anatomy, scale, clearances, line joins, and office standards before project use.
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The public process and a redacted example are visible before purchase.
Purchase the workflow, drop its file into Claude, add your project-specific instruction, and review the result in Adobe Illustrator.
SAMPLE INPUT
Subject list + View + reference dimension + Drawing scale + file name + Office graphic rules
PROCESS PREVIEW
5 controlled steps with quality checks
EXPECTED OUTPUT
Image-first traced grouped SVG + embedded style contract + Illustrator QA checklist
Redacted output preview
ChatGPT image-to-vector entourage
ChatGPT first generates a restrained black-on-white orthographic source and rejects off-style imagery before any vector tracing begins.
The accepted source is traced into filled compound paths, checked against the image, then opened in Illustrator for final review.
Rendered preview · image-first SVG trace · Illustrator review required
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Create young, mature, columnar, and multi-stem street trees with matched plan-canopy symbols. The prompt first directs ChatGPT's image model to create and inspect a controlled black-on-white trace source, then converts that accepted composition into a verified SVG under a non-reconstructive architectural vector-style contract. No reusable reference drawing is included. The final vector receives a deliberate Illustrator review and the workflow fails closed when ChatGPT cannot produce an acceptable image or matching SVG.
Street-tree + canopy SVG set generated through a controlled ChatGPT image stage, 1:1 SVG trace verification, grouped vector delivery, and required Illustrator review.
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Delivered as a versioned ZIP package. After verified payment, the exact purchased version is available through the buyer's private Library.
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Open ChatGPT Work mode, then upload PROMPT.md or paste it in. Work mode is required for image generation, Python tracing, and the downloadable SVG; no external reference drawing is required.
Name the required objects, poses, views, dimensions, scale, and variants; the package uses a fixed family SVG filename for reliable delivery.
ChatGPT generates, self-reviews, and automatically corrects the controlled black-on-white orthographic image before tracing.
Trace the accepted image into filled compound paths and verify the SVG matches its silhouettes, openings, spacing, and detail.
Check scale, proportions, paths, originality, and legibility in Illustrator before project use.
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Every generated SVG is a graphic starting point. The designer must review anatomy, scale, clearances, line joins, and office standards before project use.
Jurisdiction: Not jurisdiction-dependent
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Receive the immutable versioned ZIP package.
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Open SKILL.md or the named workflow entry point.
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Collect required inputs and remove sensitive data.
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Execute in a tested tool, then complete human review.
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Public reviews are withheld until the marketplace can verify purchase entitlement and support a trustworthy, version-specific review process.
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Architectural visualization studio · 9 years · Copenhagen, Denmark
Visualization practice developing controlled image workflows that preserve design intent and source geometry.
A first-party specialization account operated and approved by archiPrompt.
View creator profile10
It produces editable SVG that opens in Illustrator. A designer still needs to inspect paths, proportions, stroke weights, and file structure before saving an AI master.
No. The prompt explicitly requires original geometry and prohibits tracing or reproducing proprietary entourage, branded products, or supplied protected blocks.
Email support for setup and documented compatibility issues
v1.1.0 removes reusable reference artwork and adds a mandatory ChatGPT image-first trace workflow, embedded filled-vector style contract, abstract non-subject SVG grammar, strict 1:1 trace verification, and fail-closed output review.
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