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TMind AI Insights

Exploring how AI transforms therapist training, supervision, and mental health education.

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AI Clinical Training Should Be Built With Educators, Not Around Them

Five principles guiding how TMind AI approaches simulation, feedback, faculty oversight, and responsible clinical education.

Why AI-Simulated Practice Needs Feedback: Evidence for Clinical Training

What a Stanford-led study on counselor training confirms, and why TMind AI was built around simulated practice plus structured feedback.

How to Become a Licensed Social Worker in 2026: A Complete Guide

Every year, thousands of MSW graduates enter the post-degree phase of social work licensure without fully understanding what they’ve signed up for.

6 Films That Changed How the World Thinks About Mental Health

A Mental Health Awareness Month watchlist for clinicians, students, and anyone who has ever felt misunderstood

May has been Mental Health Awareness Month since 1949. Here's why that still matters more than ever.

The history, the data, the progress America has made, and what you can do this month to be part of the movement.

How One Student Turned Textbook Theory Into Real Clinical Skill

What Mark's practicum at York University taught us about the gap between knowing and doing.

The Training Bottleneck Nobody Talks About: Why More Seats in Counseling Programs Won’t Fix the Shortage Alone

There’s a version of the mental health workforce crisis narrative that goes like this: we don’t have enough therapists, so we need to train more of them.

5 Clinical Supervision Models That Actually Work

and where AI practice fits into each one

Why the Best Therapists Never Stop Practicing

and what that looks like in 2026...

What 1 Year of Building an AI Training Platform Taught Us About What Therapists Actually Need

When we started building Tmind AI, we thought we were creating a simple therapy training tool.