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ALTERNATIVE™ Production Master v1 — Label Rebuild & Compliance System#1

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cursor/master-label-rebuild-971b
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ALTERNATIVE™ Production Master v1 — Label Rebuild & Compliance System#1
ebyron357 wants to merge 3 commits into
mainfrom
cursor/master-label-rebuild-971b

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Summary

Builds the ALT-Label-System — a code-driven label generation pipeline for ALTERNATIVE™ 12oz sleek cans per the Production Master v1 specification. This is a refinement, not a redesign: existing brand direction preserved with improved hierarchy, readability, and compliance structure.

What's Included

Label Hierarchy (per spec)

  1. A NEW STATE OF MIND (tagline)
  2. Hero A Symbol (reduced ~12.5%)
  3. ALTERNATIVE™ (increased ~22.5% — primary recognition)
  4. HEMP-DERIVED THC BEVERAGE
  5. SKU: SESSION™ / SOCIAL™ / RESERVE™
  6. THC content (largest product-specific element)
  7. Flavor (increased ~35%)
  8. 12 FL OZ (355 mL)

Locked Systems

  • SKUs: SESSION™ 5mg, SOCIAL™ 10mg, RESERVE™ 50mg, RESERVE™ 100mg
  • Flavors: LYCHEE SWEET TEA (champagne-gold), PASSION FRUIT (deep amber)
  • Colors: Matte black, warm off-white, flavor-specific accents (gold reduced to logo/SKU/highlights)

Compliance

  • Manufacturing: Proleve Brands / Manufactured For Invictus Wellness LLC
  • QR section: SCAN FOR / LAB RESULTS / INGREDIENTS / PRODUCT INFO
  • Warning panel, active ingredient panel, protected barcode/QR zones
  • JSON schema for Proleve-supplied data — no placeholder compliance values
  • Preview mode (structure only) vs production mode (requires verified: true JSON)

Output

  • Canvas: 182.22mm × 148mm, CMYK, 300 DPI
  • 8 PDF variants (4 SKUs × 2 flavors)
  • PDF/X-1a export via Ghostscript (--pdfx)
  • Spec validation: 18/18 checks passing

Usage

pip install -r requirements.txt
python3 scripts/generate_labels.py --mode preview
python3 scripts/validate_spec.py

Next Step for Production

Add Proleve-verified compliance JSON per variant to data/compliance/products/, then:

python3 scripts/generate_labels.py --mode production --pdfx

Test Plan

  • Spec validation passes (18/18)
  • All 8 label PDFs generate in preview mode
  • Proleve compliance data ingestion (awaiting supplier files)
  • PDF/X-1a preflight with printer (requires Ghostscript + converter validation)
Open in Web Open in Cursor 

cursoragent and others added 3 commits June 9, 2026 16:38
Implement code-driven 12oz sleek can label renderer per the master label
rebuild spec: brand hierarchy, locked SKU/flavor system, CMYK color system,
compliance panel structure, QR/barcode protected zones, and Proleve data schema.

- 182.22mm x 148mm canvas at 300 DPI
- 8 variants: 4 SKUs x 2 flavors
- Preview mode (no placeholder compliance data) and production mode
- PDF/X-1a export pipeline via Ghostscript
- Spec validation script (18/18 checks)

Co-authored-by: ebyron357 <ebyron357@users.noreply.github.com>
Refine existing ALTERNATIVE artwork per final production spec — not a redesign.

- Reduce A symbol 10%, increase ALTERNATIVE wordmark ~22.5% with improved spacing
- Single-line THC callouts (5/10/50/100MG HEMP-DERIVED THC PER CAN), no 20MG
- Increase flavor visibility 35%; gold reduced to brand identity and THC callouts
- Remove decorative borders, separators, placeholder frames, and preview guides
- Manufacturer data: Passion Fruit 0 cal, Lychee Sweet Tea 20 cal, exact ingredients
- Manufacturing: Proleve / Invictus Wellness LLC, Locust NC USA
- Updated warning, active ingredient, and QR copy per spec
- 40/40 validation checks, 10.0/10 retail readiness

Co-authored-by: ebyron357 <ebyron357@users.noreply.github.com>
- Bleed-aware artboard (182.22×148mm trim + 3.175mm bleed)
- Compliance audit flags missing barcode/lot/state before export
- Prepress PDF audit (CMYK, fonts, dimensions, transparency)
- Hierarchy QC at 100%/50%/25%/10% scales
- Manufacturer ingredient line formatting (exact 3/9 lines per flavor)
- THC declaration on compliance panel; A symbol subordinate to wordmark
- export_production.py generates 8 PDFs + MANIFEST.json
- Remove unused a_symbol.svg asset (AI artifact cleanup)
- 51/51 validation checks, 10.0/10 retail readiness

Co-authored-by: ebyron357 <ebyron357@users.noreply.github.com>
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2 participants