Eety AI - An AI Assistant for Patent Drafting vs Wan2.7-Image

Patent drafting is a strategy problem before it is a writing problem. One wrong inference, one gap in the novelty argument, and the application may not defend what the inventor actually built.

Eety.ai builds a 15-point invention model — the Brain — before writing begins. It captures novelty, component interactions, and claim strategy. Each dimension is confidence-scored; incomplete fields block drafting until resolved. Gaps trigger targeted engineer-perspective questions specific to exactly what's missing, incorporated without disturbing confirmed analysis.

Drafting runs through a 10-phase pipeline with an attorney-approved plan before any section executes. Drawings generate as editable SVGs with numerals tracked across all figures and text. Style DNA mirrors the attorney's own voice from reference filings. Nine templates enforce USPTO, EPO, PCT, and UKIPO conventions. Team access, audit trail, style compliance checking, and section-level review complete the pre-filing workflow.

Wan 2.7 Image isn't just about visually appealing samples; it's a powerful tool built for reliable control. It provides designers, e-commerce professionals, and brand managers with the precise tools they need to maintain consistent aesthetics and brand identity across all projects. Unlike generic stock images, Wan 2.7 Image focuses on delivering the flexibility and power to dictate the visual direction, fostering efficient workflows and reducing costly revisions.

Designed for a variety of applications, Wan 2.7 Image excels in design projects where meticulous control over composition, color, and detail is paramount. For e-commerce, it enables the creation of high-quality product visuals that translate effectively across different devices and platforms, enhancing customer engagement and driving sales. Brand applications benefit from the ability to consistently apply visual elements, ensuring a unified and recognizable brand presence. Furthermore, it's a valuable asset for editorial work, allowing for precise manipulation and integration of images within articles and publications.