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AI conversations are stuck on agents, but the real shift is happening somewhere else.
In this episode, we break down Agentic Software vs Agents and explain why the future isn’t about building hundreds of fragile AI agents, but about creating purpose-built, agentic software systems that actually do work.
We explore how AI is evolving into an operating system, why workflow optimization matters more than raw model intelligence, and how layering models intelligently is replacing the obsession with “the best model.”
We also discuss the rise of niche, domain-focused AI systems, why stickiness beats benchmarks, and how individuals and small teams can now build software that replaces entire roles, services, and workflows.
This conversation is for builders, consultants, operators, and anyone trying to understand where real leverage in AI is emerging, beyond hype, tools, and demos.
If you’re thinking about the future of work, software, and AI-enabled businesses, this episode will reframe how you look at all of it.
