The Agents That Scaleups Built: Stories From AI-First Builders
IDEA Spaces - São Sebastião, Lisbon, Portugal
In personOnce upon a time, AI was a nice-to-have. Now it's the thing scaleups are built on.
During Lisbon AI Week 2026, join real practitioners from four fast-growing companies for an evening of candid stories about building AI-first, at speed. They’ll share what shipped, what broke, and what they'd do differently.
Lineup: Kianna Love and Jake Duffy (Paddle), Quentin Churet (Alpic), Tiago Zien-Mendes (Speakeasy), and Faateh Dhillon (Dust)
Location: IDEA Spaces - São Sebastião
From products designed to be promptable from day one, to an agent that supports a daily habit, to agents trusted enough to act with real autonomy, to AI that's shared across a whole team, no two stories are the same. They’re all chapters in the same tale: what it takes to build with AI right now.
Grab your spot, get a drink, and let the stories unfold.
Meet the speakers
Quentin Churet, Alpic
The Owl Doesn't Know Me - Replacing Duolingo with an MCP App and the agent that already knows my life
I hit B1 in Spanish and stopped. Duolingo had taken me as far as a fixed curriculum can : it doesn't know that I'm currently reading a book about Pablo Escobar's life, or that my wife is the reason I'm learning at all.
Meanwhile the agent I talk all day knows all of that - and forgets it by tomorrow. Agents have context, they have no record.
So I built Gordito, an MCP App that gives my agent memory of my Spanish. It stores what I got wrong, not just what I looked up. The server owns when I see something again. The agent owns what it looks like - as an interactive quiz, directly inside the conversation as an MCP App.
I'll show the build, the demo and what I've learned so far.
Faateh Dhillon, Dust
The Interruption Tax - Reducing team interruptions with AI agents
“Who owns this?” “Have we seen this before?” “Can someone explain how this works?” They’re small questions, but answering them pulls people away from their work. The information usually exists somewhere: in a Slack thread, a document, a past decision, or a col
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