How to Create a T-Shirt Tech Pack with AI

T-shirts look simple but require precise specifications to get right. Neck rib width, shoulder slope, sleeve length, body length, and hem treatment all affect fit and quality. A 5mm difference in neck rib width changes how the neckline sits and drapes.

AI tech pack generation handles these details by applying category-appropriate defaults — crew neck tees get different neckline specs than V-necks, and heavyweight cotton gets different seam allowances than lightweight jersey.

Specify the t-shirt type clearly to get accurate AI output.

The AI produces neckline specifications including rib width, rib composition, attachment method (bound, set-on, cover-stitched), and neck drop measurements. Sleeve hems, body hems, and side seam construction are specified with appropriate stitch types.

For screen-printed or embroidered tees, the tech pack includes artwork placement specifications — print position relative to center front, distance from shoulder seam, and print dimensions.

T-shirt grading follows standard increments but varies by fit family. Slim fit tees grade at smaller increments (1-1.5 inches per size) than oversized tees (2-2.5 inches per size). The AI applies appropriate grade rules based on your specified fit.

Key POMs for t-shirts: chest width, body length (HPS), shoulder width, sleeve length, sleeve opening, neck width, neck drop, and hem width.

The most common mistake is not specifying neck rib width and stretch recovery. A rib that is too narrow or has poor recovery results in a stretched-out neckline after washing. Second most common: not specifying shrinkage allowance — cotton tees should include pre-shrinkage measurements or post-wash specs.

AI-generated tech packs include these details by default, but always verify against your specific fabric supplier's shrinkage data.