Free Lesson

Why Users Quietly Quit Your AI Product

Hosted by Salome Mikadze-Struk

Fri, Jul 10, 2026

9:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

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What you'll learn

01 — Spot the trust killers before your users do

Find the exact moments users silently lose confidence, using a live teardown and a checklist you can reuse.

02 — Design the confidence cues that get users to say yes

The UX patterns (uncertainty signals, sourcing, reversibility) that make AI feel reliable instead of risky.

03 —Decide when AI should ask vs. act on its own

A simple framework for automation vs. human-in-the-loop, so your product earns trust instead of overstepping it.

Why this topic matters

Anyone can demo impressive AI. Almost no one ships AI people keep using. The gap isn't intelligence... it's trust. When users can't tell what the AI knows, why it acted, or what happens when it's wrong, they don't complain. They quietly stop. This lesson gives you the product patterns that turn a "cool demo" into "I can't work without this", the line between adoption and abandonment.

You'll learn from

Salome Mikadze-Struk

Stanford | Co-founder @ Movadex | 100+ products, $300M+ raised | Knight-Hennessy

I’m Salome Mikadze, a Stanford GSB MBA, Knight-Hennessy Scholar, and co-founder of Movadex, a product, design, and engineering studio behind 100+ launches across AI, SaaS, fintech, healthcare, consumer, and enterprise software. For the past decade, I’ve helped teams turn complex ideas into shipped products, from UX strategy and interface systems to full-stack execution and launch. My work focuses on the trust layer of AI: the screens, workflows, guardrails, and product decisions that make AI products feel clear, reliable, and usable in real business contexts.

My Maven lessons are for founders, product leaders, designers, operators, and builders who do not just want impressive AI demos. They want AI products that feel clear, useful, safe, and worth adopting.

See all products from Salome

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