The Real Problem With AI Agents Nobody's Talking About

YouTube/Podcast · ~38 min · Podcast

• The binding constraint on agent deployment is not installation, capability, or cost — it is requirements definition: clearly specifying what the agent should do, in which contexts, with what constraints.
• “Installing an agent is trivial; defining what it should do is the hard part” — this inverts the conventional wisdom that implementation is the bottleneck.
• Proposes interviewer agents as an intermediate architecture: agents whose job is to elicit and formalise requirements before a task agent is deployed, surfacing the specification problem explicitly.
• Practical takeaway: treat requirements definition as a first-class engineering problem for agent systems; a SOUL.md or equivalent specification document is not optional overhead, it is the product.