# Training Taste — Thais Castello Branco, Taste Labs

Source: [AI Engineer](https://www.youtube.com/watch?v=sDMGWK4wZ_w)  
Feed7 permalink: https://feed7.dev/p/training-taste-thais-castello-branco-taste-labs-0e0gan1  
Published: 2026-09-10T16:00:20.000Z  
Trust: Source Linked (source_linked)

## Why Included

AI did not start web-design sameness, but it accelerates it. Builders should give design agents explicit brand context, varied references, and checks for repetition, fit, and coherence.

## Source Summary

Taste Labs analyzed **more than 2 million websites** spanning roughly **10 years** and found that palettes and layouts were converging before generative AI. Its classifiers use features such as color, typography, layout, and audience to detect repeated design patterns.

## Practical Implication

Treat visual quality as an inference-time system problem, not just a model problem. Give coding agents a coherent brand system, retrieve relevant references, encourage deliberate variation, and verify that output still fits its audience and context.

## Agent-Ready Context

Taste Labs analyzed **more than 2 million websites** spanning roughly **10 years** and found that palettes and layouts were converging before generative AI. Its classifiers use features such as color, typography, layout, and audience to detect repeated design patterns.

Treat visual quality as an inference-time system problem, not just a model problem. Give coding agents a coherent brand system, retrieve relevant references, encourage deliberate variation, and verify that output still fits its audience and context.

The talk reports strong detection and better brand fidelity, but provides no exact scores or public evaluation details. Its proposed creativity API and brand repository were described as work in progress, and none of the methods eliminates the need for human judgment.

## Connected Context

Feed7 judgment across 757 accumulated Signals:

This adds an empirical diagnosis to the design-skill candidates: web sameness predates generative AI, so avoiding generic output requires an inference-time system of brand constraints, retrieved references, deliberate variation, audience checks, and human judgment. It reinforces persistent design context and iterative review, while undisclosed evaluation details and unfinished infrastructure prevent broad claims about detection or fidelity gains.

- [VoltAgent/awesome-design-md](https://feed7.dev/p/awesome-design-md-0j28iaw) — DESIGN.md files provide the persistent brand tokens and guardrails that this signal identifies as necessary inference-time context.
- [Ending AI Slop — Thais Castello Branco, Taste Labs](https://feed7.dev/p/ending-ai-slop-thais-castello-branco-taste-labs-1bcbp7n) — The candidate complements the proposed audience and coherence checks by separating deterministic brand constraints from subjective qualities that still require preference judgments.
- [The Missing Layer: Design Taste in AI Agents — Hassan El Mghari, Together AI](https://feed7.dev/p/the-missing-layer-design-taste-in-ai-agents-hassan-el-mghari-together-ai-00err2g) — Both treat the first generated interface as material for guided iteration; this signal adds reference retrieval, variation, and audience fit to that workflow.
- [One Designer + AI. Hundreds of Deliverables. — Vincent Wendy, AI Engineer](https://feed7.dev/p/one-designer-ai-hundreds-of-deliverables-vincent-wendy-ai-engineer-1ocl7kr) — The production example reinforces that brand fidelity scales through machine-readable primitives and visual review, not autonomous taste generation.

## Context Map

- Layer: craft
- Domains: coding
- Topics: design-engineering, interface-quality, context-engineering

## Uncertainty

- The talk reports strong detection and better brand fidelity, but provides no exact scores or public evaluation details. Its proposed creativity API and brand repository were described as work in progress, and none of the methods eliminates the need for human judgment.

## Agent Instruction

Use this item as source-backed context. Do not invent claims beyond the linked source. If this item conflicts with another source, call out the conflict.