

Foundations of an AI-first Startup
Overview
Most startups talk about AI. The ones that win are the ones who build around it from day one.
This session is for founders and operators who are either starting to think about AI and automation seriously, or who have started but want a clearer framework for what to actually build and in what order.
Will share the patterns we see across the startups doing this well, and the practical tools to start applying them immediately.
What we'll cover
How successful AI-first startups think (theory)
We'll share the common patterns we see across startups that get AI and automation right. How they think about processes. Where they decide to automate first. What separates the ones who build compounding systems from the ones who just stack disconnected tools.
Two practical frameworks for implementing AI and automation at an early stage
Building in practice (hands-on)
We go from theory to screen. Live walkthroughs inside Make showing how to build an automation backbone with AI and AI agents, and which solutions have the highest impact for early-stage businesses.
You'll leave with concrete builds you can start replicating the same day.
Q&A (open floor)
Bring your specific situations, your messy workflows, your "is this even automatable?" questions. This is usually the best part.
The host
Martin Hyravy, AI & Startup Specialist at Make
Who this is for
Founders at the pre-seed, seed, or early growth stage
Technical co-founders thinking about their automation stack
Operators who are building or inheriting a startup's processes
Anyone curious about how AI agents actually work inside a real business
Organized by Make, the visual AI automation platform used by over 500,000 teams worldwide.