The interesting shift isn't that AI models are becoming perfect—it's that teams are designing systems that assume they won't be. Guardrails, approvals, traceability, and architecture reviews are becoming the real product differentiators.

That's also what we've seen at IT Path Solutions. The projects that succeed in production aren't necessarily using the "best" model they're the ones with clear agent boundaries, observable workflows, and deterministic checks around AI decisions.

Trust comes less from the model itself and more from the engineering discipline built around it. Great breakdown of where the industry is heading.