The field report
206

THE SIGNAL

SECTION 17

ISSUE 001

PROJECTIONproduct1-3yconfidence / medium

Taste Agents Over Recommendation Feeds

Projection: A user-controlled model of taste could travel across books, music, products, restaurants, and travel, learning from explicit correction rather than one platform’s engagement objective. Assistant adoption makes the alternative imaginable. It matters only if people consistently prefer its choices to incumbent feeds across multiple domains.

Why this idea is here

What the evidence establishes.

The cited captures document consumer assistants, subscriptions, and horizontal agents. They do not establish Taste Agents Over Recommendation Feeds as a deployed mechanism. The adoption test is whether user-controlled taste models outperform platform feeds across media, products, and experiences.

Source ledger

Read the sources.

  1. S01
    Sensor Tower State of AI 2026

    market intelligence / published 2026-06-16 / retrieved 2026-07-09

  2. S02
    The Top 100 Gen AI Consumer Apps — 6th Edition

    investor market map / dated 2026-03 / retrieved 2026-07-09

  3. S03
    Adoption Monitor

    academic monitor / dated 2026-07 / retrieved 2026-07-09

  4. S04
    Consumers Want AI Shopping Help, But Not Purchase Decisions

    consumer survey / published 2026-05-27 / retrieved 2026-07-09

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