What does intelligence really mean for AI? If learning, adapting, and deciding with limited input define it, are we there yet? Our CEO and co-founder @chasefreo breaks down this crucial question. Watch now and let us know what you think.

Congratulations to all the winners. This year was a great edition!

GM! Let's keep building today!

Why Modular Design is the Future of AI Infrastructure AI systems are evolving quickly, but many are still built on foundations that can’t keep up. Rigid architectures, tightly coupled logic, and hard-coded dependencies make most AI workflows inflexible and difficult to maintain. What looks impressive in a demo often breaks when moved into real-world use. That’s where modular design comes in. Modular infrastructure gives developers the ability to build AI systems using smaller, interchangeable parts. Each module solves a focused problem and can be plugged into larger workflows without rewriting everything from scratch. It’s the same principle that makes microservices powerful in software development, now applied to AI tooling and actions. This shift has two big advantages. First, it dramatically reduces development time. When tools are modular, teams can reuse logic, remix proven flows, and update specific components without touching the entire system. Second, it creates space for community-driven growth. Developers can contribute tools, actions, and utilities that are easy to adopt, integrate, or improve. The result is a faster-moving, more resilient ecosystem. A modular AI system isn’t just easier to build. It’s easier to scale. It’s easier to fix. And it’s easier to trust. Instead of designing one monolithic agent to handle every edge case, developers can focus on creating small, well-scoped tools. These tools can be chained together, swapped in or out, and used across different agents, platforms, or environments. What you build in one project can serve many others. Modularity also encourages openness. A shared tooling layer lets developers contribute to the same infrastructure, even if they’re building for different end users. That unlocks collaboration, speeds up iteration, and lowers the barrier to entry for independent developers. This isn’t just a shift in architecture. It’s a shift in how AI will grow—faster, more openly, and in closer alignment with the people building and using it. Infrastructure that supports modular AI design isn’t just forward-thinking. It’s necessary. The future of AI won’t be shaped by a few large systems. It will be built by thousands of tools, working together.

If you could automate one task forever, what would it be?

You Don’t Need 10 Apps. You Need One Smart Toolchain. A typical workday often spans a half-dozen tabs and twice as many tools: calendars in one place, tasks in another, messages scattered across platforms, and data stuck in systems that never communicate. Everything technically works, but nothing works together. That’s not productivity. That’s fragmentation. The modern toolstack has become bloated. Teams and individuals rely on multiple platforms just to complete a single process. Each tool solves part of the puzzle, but it’s up to the user to keep it in sync. That means constant context switching, repetitive data entry, broken automations, and mental overhead just to keep things running. The better path forward isn’t another app. It’s a smarter system—one that connects existing tools into a flexible, AI-supported toolchain that can think, act, and adapt across platforms. Imagine this: 💡A calendar that not only tracks meetings but generates summaries, assigns follow-ups, and notifies relevant stakeholders 💡A CRM that nudges a payment reminder when an invoice goes overdue 💡A single workspace where your tools talk to each other and nothing gets missed This isn't about replacing everything in your stack. It’s about making what you already use work together, without manual stitching. A toolchain that moves information across systems automatically, reduces friction, and gives users time back by removing low-value tasks. The number of apps doesn't matter as much as how well they operate as a whole. The most effective systems are becoming ecosystems; meaning they’re built on modular, connected tools that align with the way people already work. The future of productivity isn’t more features or fancier dashboards. It’s a toolchain that runs with less friction and gives you more time for what actually matters.

Working harder ≠ working smarter. What’s one “productive” task you’d automate in a heartbeat if you could?

GN! Who's still up and building?

For devs juggling too many platforms Context switching is killing your flow. APIs here, dashboards there. What would your perfect workspace look like?

Most AI tools feel powerful at first—until they make your workflow even more fragmented. The real win isn’t more features. It’s a system that connects your tools, not just stacks them. Ask yourself: are your tools helping you build flow or break it?

GM!  Who's still on the grind?

Tools like Kiro are exactly the kind of bridges we need—ones that let builders stay creative and structured. The future of AI tooling isn’t just smarter models. It’s infrastructure that makes developing easier, faster, and more human. More like this, please.