Perplexity: A Suggested Tetrad After an Initial Failure

Requested to generate a tetradic harmony validated by color deficiency tests, Perplexity initially prioritized accessibility without providing a usable tetrad. After reformulating the queries, the text-based AI proposed a combination deemed approximate. This episode fits within established benchmarks of color harmony, from Newton's wheel to current practices.

From Newton's Wheel to Color Wheel-Guided Harmonies

Isaac Newton is the originator of the color wheel concept, having transformed the linear color spectrum into a circle in the early 1700s. This model has been enriched by artists and scientists to incorporate different color harmonies. Color harmony involves selecting shades on the color wheel that complement each other in a visual composition. These harmonies rely on combinations that serve as a guide for pairing colors.

Perplexity, initially focused on accessibility, later delivers an approximate tetrad

Perplexity, a text-based generative AI system, was tasked with proposing a tetradic harmony that passes color deficiency tests. The goal was to obtain a combination of four colors suitable for these constraints. Initially, Perplexity focused on color deficiency without providing a satisfactory tetradic solution. After modifying the queries, the chatbot ultimately proposed a tetrad deemed approximate. The challenges encountered during this process are highlighted. This exploration follows trials conducted with DeepSeek, ChatGPT, Claude, Copilot, and Gemini.