Today I want to dive into three interconnected themes that are reshaping how we build and scale technology companies: the challenges of big teams, the rise of AI agents, and the evolving landscape of software pricing.
The Big Team Problem
As companies grow, there’s an inevitable tension between scale and agility. Large teams can accomplish more in absolute terms, but they often move slower per person. The overhead of coordination, communication, and alignment grows exponentially with team size.
I’ve observed that the most innovative work often happens in small, focused groups where everyone has a clear sense of ownership and purpose. The challenge is maintaining that startup energy and decision-making speed as you scale.
AI Agents as Force Multipliers
This is where AI agents become game-changers. Instead of just adding more people to solve problems, we can augment existing teams with AI capabilities. These agents can handle routine tasks, provide instant analysis, and even participate in creative processes.
The key is not to replace human judgment but to amplify it. The best AI implementations I’ve seen free up humans to focus on the high-level strategic thinking that only we can do.
Rethinking Software Pricing
Traditional per-seat pricing models start to break down when AI agents enter the picture. How do you price software when some of your “users” are AI? The answer lies in value-based pricing that focuses on outcomes rather than inputs.
Companies that figure this out early will have a significant competitive advantage in the AI-native world we’re moving toward.