Drawn from insights gathered across 107 participants.

This research aimed to understand how users discover, evaluate, and manage AI tools, explore the emotional friction behind those behaviours, and validate the relevance of invented features.

This study used a short-form online survey distributed via Reddit and personal networks to gather insights from 107 participants across diverse industries and student groups. The mixed-source approach ensured a balance of behavioural trends and domain-specific perspectives.

High Daily Usage and Tool Diversity Among Professionals

Single-Tool Users Report Higher Levels of Overwhelm in AI Tool Discovery

Most Users Desire Adaptive Support Based on Mindset and Context

High-Stress Single-Tool Users Show Strong Alignment with MyStack.ai’s Drop and Stack Concepts

Multi-Tool Users Are Open but Cautious Toward Supportive Features Like Drop

Mild but Distinct Signals Around Stack Feature Usefulness

Mild but Distinct Signals Around Stack Feature Usefulness

Users Want Relevance, Transparency, and Control in Chat-Based Discovery

Trust Is Built Through Transparency, Recognition, and a Low-Friction Experience

Students Mirror High-Stress Users in Needs, but with More Openness and Less Extremity