Many people talk about AI design and marvel at how fast the AI is plotted and how amazing the shape is. But in the civet design group, our view is different: AI is just a creative divergence tool, and the decision-making power and judgment of industrial design are always in the hands of designers.
The logic of our work is very clear: the designer sets up the triple constraint framework in advance, and then lets the AI do modeling exploration within the boundary. These three-tier frameworks are the brand aesthetic framework, the engineering landing framework, and the mass production cost framework. No one has set the rules in advance, AI no matter how many renderings are produced, it is only a virtual map divorced from business.
The five groups of product ideas on display are all shaped and diverged by AI within our preset boundaries.
In the traditional conceptual stage, designers are limited by their energy and can try limited morphological variants, which makes it easy to fall into inherent thinking. The role of the AI is to quickly generate a large number of differentiated surfaces and modeling languages within the scope of our delineation, and to broaden the creative selection pool. However, AI do not judge tonality, do not understand hardware stacking, and have no concept of cost.
The real core of the work, all done by the designer:
1. build brand aesthetic framework and keep Party A's exclusive tonality
AI there is no brand awareness, it will only generate generalized "good-looking modeling", and it is easy to make products with online color value but completely separated from the customer's brand temperament.
Designers first based on brand positioning, the establishment of aesthetic scale: line tension, surface proportion, the overall temperament, should match the brand gene. After AI the output plan, we will do aesthetic screening to eliminate exaggerated and illegal shapes to ensure that innovation will not deviate from the brand itself.
2. build the engineering landing framework and check the hardware stacking logic.
Shape always obeys structure.
We lock up the internal device space, assembly and human-machine boundaries in advance to limit the range of AI morphological changes. Subsequent designers check each set of schemes one by one, check the structural interference and assembly feasibility, eliminate those virtual models that are visually shocking but cannot be installed or opened, and ensure that the creativity has a landing foundation.
3. build a mass production cost framework to balance appearance and production cost
AI do not calculate mold complexity, processing difficulty, and mass production yield.
Designers draw the cost red line in advance to avoid designs that will push up production costs, such as difficult curved surfaces and redundant buckles. Optimize the shell and parting scheme on the premise of retaining the product texture, control the mold opening and material cost, and make the design have the value of commercial landing.
AI can generate modeling in batches, but brand aesthetics, engineering judgment, and cost trade-offs cannot be replaced by AI, all of which are the core capabilities of designers.
Simple summary: AI are responsible for broadening the creative breadth within the framework; Designers build frameworks, screen schemes, control aesthetics, ground verification, and cost coverage to define the ultimate commercial value of products.
The civet design does not chase the gimmick of AI plot. We make good use of AI to enlarge the creative possibilities, but we always firmly believe that it is always people who can make good products that can be mass-produced, brand-fit and cost-controllable.