Furniture Design Assistant (LLM)
An LLM-based assistant that proposes joinery methods, material specs, and design variations from functional requirements and production constraints.
Role
AI Automation Engineer
Tools
LLM · Prompt Engineering · Python
THE PROBLEM
Early-stage furniture concepting is slow — evaluating joinery options, materials, and dimensional variations against manufacturing constraints takes significant back-and-forth.
THE CHALLENGE
A generic chatbot doesn't understand furniture construction or production limits. The assistant needed grounding in real joinery methods, material behavior, and CNC/manufacturing constraints to give usable suggestions.
THE APPROACH
Engineered a domain-specific prompting system that takes functional requirements plus manufacturing constraints and returns joinery methods, material options, dimensions, and design variations — acting as a rapid brainstorming and validation partner during concepting.
PROCESS
THE RESULT
Compressed the concept-to-validation phase, letting more design directions be explored and pressure-tested before committing to prototyping.
METRIC
Faster concept iteration
METRIC
More options evaluated per cycle
METRIC
Constraint-aware suggestions
KEY TAKEAWAYS
- ▹Grounding an LLM in real manufacturing constraints is the whole game
- ▹AI as a productivity layer over furniture expertise, not a gimmick
- ▹Prompt engineering is design engineering when the domain is narrow