Create coordinated bicycle and micromobility linework for active-transport plans, streetscapes, and sections.
Part of Complete Architectural Entourage Prompt CollectionArchitecture · Interiors · Landscape
Architectural plans
Six cycling and micromobility subjects generated across two buyer-run GPT Image 2 sheets, standardized deterministically to 3840px working width, and combined into one verified 3840-wide SVG.
Image-first traced grouped SVG + embedded style contract + Illustrator QA checklist
Compatibility 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 Prompt, add its file to Claude, enter 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
GPT Image 2 creates two highest-available-resolution sheets with exactly three isolated subjects each. Python preserves the originals and standardizes each complete sheet to exactly 3840px wide before tracing.
All six traces are composed into one 3840-wide SVG. Complete 6px perimeters and 3px internal marks independently pass local LOD, topology, stroke-width, exact-straight, analytic-curve, original-coordinate back-projection, and close-zoom smoothness gates.
Rendered preview · image-first SVG trace · Illustrator review required
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Create a coordinated six-item cycling and micromobility linework sheet for active-transport plans, streetscapes, and sections. In the buyer's own ChatGPT Work-mode session, GPT Image 2 creates two highest-available-resolution source sheets with exactly three isolated subjects on each. Python preserves each original, records its real dimensions, and standardizes the complete sheet to exactly 3840 pixels wide with one aspect-ratio-preserving Lanczos transform before segmentation, thresholding, or tracing. This makes the tracing resolution deterministic without an API, buyer intervention, subject-by-subject resizing, distortion, or a false claim that the original was native 3840. The original earlier release preview controls subject family, views, relative scale, line economy, and maximum detail without being copied. All six subjects are verified independently and composed into one 3840-wide SVG with complete 6px exterior perimeters, lighter 3px internal marks, exact straights, analytic mechanical curves, shared skeletal junction nodes, and local LOD, topology, stroke-width, back-projection, and close-zoom checks. The ImageGen base raster must visibly contain the heavier exterior hierarchy and pass an outline-only source audit before tracing. The SVG stage never invents a missing outline.
Six cycling and micromobility subjects generated across two buyer-run GPT Image 2 sheets, standardized deterministically to 3840px working width, and combined into one verified 3840-wide SVG.
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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.
In the buyer's ChatGPT session, GPT Image 2 creates two highest-available-resolution source sheets with three isolated subjects each; Python preserves the originals and standardizes each complete sheet to exactly 3840px wide before tracing.
Trace the accepted image into clean editable centreline stroke 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 Prompt 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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Synthetic ratings and review counts are not displayed.
Public reviews are withheld until the marketplace can verify purchase entitlement and support a trustworthy, version-specific review process.
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Architecture and BIM coordination · 16 years · Melbourne, Australia
Architects and BIM coordinators packaging repeatable quality-control methods for project teams.
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
v1.2.0 installs exact structural lines, analytic regular arcs, and locally supported low-complexity freeforms. It also blocks tracing until GPT Image 2 visibly supplies a heavier exterior hierarchy in the base raster; SVG construction cannot infer or manufacture a missing outline. A fresh buyer-style outline test is still required, and publication remains an explicit owner action.
Related guidance
Read the relevant evidence and professional-boundary guidance for this Prompt and its task area.
The raster and vector gates behind smooth architectural linework: weighted borders, structural nodes, straight segments, Bezier curves, and 99.5% fit.
By Stefan Miller · Updated Aug 2026
Read articleSelected from shared project phases, disciplines, compatible tools, and adjacent deliverables—not generic popularity.
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