From Capability to Interaction: AI Products Are About More Than Just "Useful" | Vital Young

As foundation models keep getting better, AI has become increasingly "easy to use."

Writing emails, generating images, coding, researching, running tasks — for the past two years, the most direct way we've judged an AI product was whether it could get the job done.

But now, a new question is starting to matter:

After the task is finished, why would users want to stick around?

ChatGPT is building Memory. Voice products are learning to handle interruptions, pauses, and tone. Character-based products are adding longer memory, personality, and world-building. AI games are starting to let NPCs respond based on what players actually did.

AI product interactions are shifting from discrete "input-output" exchanges toward something more continuous. Models solve whether AI can complete something; products now need to solve whether humans want to keep engaging.

Similar shifts have happened many times before in consumer and internet products.

In 1996, Tamagotchi wasn't technologically complex, but it gave digital characters their own states: they got hungry, sick, grew up. For the first time, people would turn off an electronic device and still wonder, "How is it doing right now?"

In 2011, Snapchat didn't invent the phone camera, but it turned photography from "documentation" into something you shot casually, sent casually, watched once and let disappear. Photos became the conversation itself.

In 2015, Discord didn't invent voice chat, but it let players skip the formality of "making a call" and just drop into the same channel anytime. Even after the game ended, people would stay.

The underlying technologies weren't complex. What actually stuck were new ways of interacting — and the usage habits that followed.

New capabilities become new interactions. New interactions slowly become new life habits.

Now it's AI's turn.

As more products can tap into similar model capabilities, "I can do this too" won't remain a compelling reason for sustained use. AI is starting to face more specific questions: How should it be remembered? If it reaches out proactively, is that helpful or intrusive? When Voice AI can understand pauses, hesitation, and emotion, will we still talk to software the way we do today?

AI needs to go beyond "easy to use" — tool value matters, but once "easy to use" becomes table stakes, products will have the chance to redefine how we interact with AI entirely.

For Vital Young Issue 9, we want to invite people who are actively exploring new ways of interacting with AI to join us in person.

No fixed agenda. No formal panels. Whether you're working on Character, Voice, AI games, Agent-based products, or researching long-term memory and human-computer interaction mechanisms... or even if you just have a half-formed question, bring it. We'll sit on the floor, play around, and talk it through.

Researchers, founders, enthusiasts... we hope people from different backgrounds will naturally find each other at this marketplace, letting new products, ideas, and judgments actually collide.

Let's talk about where AI interaction goes after "easy to use."

Scan the QR code to sign up 👇