---
title: "Taste Requires Contact: Building Judgment in the AI Era"
created: 2026-07-13
updated: 2026-07-13
type: concept
status: compiled
namespace: ai-native-product-surfaces
tags: [ai-native-product-surfaces, ai, judgment, taste, curation, learning, interaction-design]
sources:
  - Knowledge/concepts/taste-requires-contact.md
  - Knowledge/raw/transcripts/if-you-want-good-taste-you-have-to-eat.md
  - Knowledge/concepts/material-loop-and-glass-interfaces.md
resource: https://youtu.be/F4igbiu9eR8
confidence: medium
---

# Taste Requires Contact: Building Judgment in the AI Era

AI can make almost anything for you. It cannot decide what deserves to exist. That judgment begins long before the prompt, in the things you have used, heard, worn, tasted, copied, compared, and learned to name.

Jason Liu captures this with a simple line: **if you want good taste, you have to eat**. A menu can show what a restaurant serves, but it cannot teach how the food tastes. In the same way, screenshots, moodboards, launch videos, summaries, and AI-generated references can point toward quality without giving someone the firsthand experience required to understand it.

## Taste is a practice

**Taste requires contact** means that judgment develops through repeated, attentive encounters with real work. It is not downloaded as a reference collection or produced by generating more options.

The practice loop is:

```text
Contact → notice → name → imitate → compare → curate → risk
```

- **Contact:** use, hear, wear, eat, play, or handle the thing itself.
- **Notice:** detect specific choices and reactions.
- **Name:** gain language that turns impressions into distinctions.
- **Imitate:** test whether you actually perceived the structure.
- **Compare:** inspect gaps across the original, your attempt, and alternatives.
- **Curate:** select, reject, combine, sequence, and protect.
- **Risk:** depart from consensus with a choice that expresses conviction.

## Taste has three jobs

Liu's account combines:

1. **Aesthetic judgment** — sensing what is beautiful, coherent, expressive, or well made.
2. **Audience judgment** — anticipating what other people will understand or value.
3. **Personal conviction** — choosing something that may not already be validated by consensus.

Good taste is not simply predicting popularity. Audience awareness without conviction produces safe consensus. Conviction without communication can become private expression that reaches no one. The useful tension is understanding the audience without becoming ruled by it.

## Vocabulary makes perception actionable

Contact creates impressions. Language turns them into diagnoses.

Art has composition, depth, form, colour, and line confidence. Engineering has abstraction, contracts, coupling, and architecture. Animation has timing, easing, and sound design. Cooking has acidity, salting, searing, and marination. Fashion has silhouette, proportion, and drape.

Without vocabulary, judgment stops at “I don't like it.” With vocabulary, it can move:

```text
vague reaction → named distinction → testable change
```

Words do not replace experience. They make experience inspectable enough to compare, explain, and refine.

## AI flips the traditional gap

Beginners have often developed taste faster than execution. They could see that their work was wrong but could not yet repair it.

AI can reverse that relationship. It produces polished artifacts before the user has developed the judgment required to evaluate them. Output leaps ahead while perception, vocabulary, and standards remain unchanged.

Experienced practitioners often gain more from AI because they bring references, causal models, diagnostic language, failure patterns, and the ability to distinguish a plausible result from a fitting one. Their advantage is not merely prompting. It is judgment.

## Preserve the friction that teaches

Not all friction is valuable. Repetitive formatting, boilerplate, file transfer, and deterministic checks are good automation targets.

Other activities may carry the learning:

- firsthand observation;
- careful comparison;
- attempted imitation;
- diagnosis and error correction;
- preference formation;
- final selection.

Liu's music-transcription example makes the distinction clear. The value is not possessing completed notation. The value is listening closely enough to produce it, making an attempt, detecting the mismatch, and correcting it.

Before automating a learning task, ask:

> **Is performing this activity how the person develops the judgment they are trying to acquire?**

If yes, assist the loop without replacing its learning-bearing centre.

## Copying and wandering

Copying is active perception. A failed imitation reveals the gap between what someone thought they noticed and what the original actually does. Once the structure is understood, variation can become deliberate rather than accidental.

Wandering expands the reference field. Browsing a book, trying clothes you will not buy, testing unfamiliar software, listening outside a familiar genre, or following a strange reference creates encounters that destination-only systems filter out.

Efficiency is useful when the destination is known. It is a poor default when the purpose is discovery.

## Product and agent implication

[[material-loop-and-glass-interfaces|Material Loop and Glass Interfaces]] explains how people develop judgment by staying close to shapeable work. Taste Requires Contact adds the input side: people must also stay close to the material they consume.

Together they form four loops:

1. **Reference loop:** encounter, notice, compare, and name.
2. **Making loop:** imitate, generate, inspect, and revise.
3. **Curation loop:** select, reject, sequence, and protect.
4. **Conviction loop:** depart from consensus and take a creative risk.

[[interaction-mode-routing|Interaction Mode Routing]] should preserve firsthand use, diagnosis, preference formation, and final selection when those activities carry the learning. Agents can retrieve comparisons, widen the reference set, handle repetitive execution, and expose alternatives. They should not silently replace the perceptual act the user needs to practise.

Contact develops judgment; artifacts make that judgment legible. [[syntheses/side-doors-make-useful-work-legible|Side Doors: Make Useful Work Legible]] shows the applied bridge: public work can expose what someone notices, selects, rejects, and protects, allowing other people to inspect the judgment instead of trusting a claim to “have taste.” An artifact is not proof of good taste merely because it exists; it makes the underlying decisions available for evaluation.

## Guardrails

- Taste is domain-specific and socially situated, not a universal score.
- Vocabulary sharpens attention, but jargon without contact becomes performance.
- Friction is not virtuous by itself; preserve only the friction that carries learning or responsibility.
- Audience judgment and personal conviction should constrain each other, not erase each other.

## Related pages

- [[material-loop-and-glass-interfaces|Material Loop and Glass Interfaces]]
- [[interaction-mode-routing|Interaction Mode Routing]]
- [[syntheses/side-doors-make-useful-work-legible|Side Doors: Make Useful Work Legible]]
- [[../../agent-workflows/wiki/concepts/creative-ideation-routing|Creative Ideation Routing]]

## Source

- Jason Liu, [“if you want good taste, you have to eat”](https://youtu.be/F4igbiu9eR8), YouTube. This page synthesizes a user-supplied transcript as a practitioner framework; it does not reproduce the transcript publicly.