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● Covered by 1 source · 1 reportLow impact1 negative

Instinct AI's new product recommendations draw user criticism

🔄 Updated 1d ago
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Key points

  • Instinct AI launched "Instinct Selections" for product recommendations.
  • The feature uses human partners for curated suggestions.
  • Users reported receiving unsolicited and irrelevant product pushes.
  • Feedback on social media was largely negative.

Instinct AI Launches Product Recommendations

AI startup Instinct introduced a new feature called "Instinct Selections," which provides product recommendations to users. This initiative aims to generate revenue by curating personalized lists across categories such as dining, travel, and shopping.

Human Curation Model

Instinct's founder, Noah Shinn, stated that the feature partners with "local chefs, designers, architects, travel guides" to integrate "human taste" into the recommendations. This approach combines AI-driven suggestions with human-curated selections, intending to offer higher quality recommendations than those solely based on web data or other chatbots.

User Backlash and Criticism

Following the rollout, several users expressed dissatisfaction with the unsolicited product recommendations. Users like Shruti Gandhi, Andrew Yeung, and Chat Joglekar reported receiving irrelevant suggestions for items they did not need or request, leading to a negative user experience. The criticism highlights a disconnect between the feature's intent and user reception regarding relevance and timing of suggestions.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

AI startup Instinct introduced "Instinct Selections," a new feature pushing product recommendations curated by human partners, but users are reporting negative experiences with unsolicited suggestions. The feature aims to provide personalized lists for dining, travel, and shopping, but initial feedback indicates users find the recommendations unrequested and irrelevant.