agent? While conventional software enables users to streamline and automate workflows, agents are able to perform the same workflows on the users’ behalf with a high degree of independence. Agents are systems decisions and handle complexity. Unlike conventional automation, agents are uniquely suited to workflows where traditional deterministic and rule-based approaches fall short. Consider the example of can add value, prioritize workflows that have previously resisted automation, especially where traditional methods encounter friction: 01 Complex 
 decision-making: Workflows involving nuanced judgment

questions – they execute: booking meetings, submitting reports, logging into tools, or orchestrating workflows across platforms, often using natural language as their command layer. This shift mirrors a broader and self-correct in real time. They could drive research, engineering, education, and logistics workflows with little to no human oversight – handling ambiguity and novelty with general-purpose reasoning cloud providers offer platforms that help businesses leverage AI tech in their own products and workflows. Consumer AI Monetization Possibilities = New Entrants & / Or Tech Incumbents? AI Company Landscape

because our models will increasingly do their best work with sophisticated, complex, interconnected workflows and systems. We’re seeing AI deliver significant, measurable improvements on three fronts: 01 actions for customers. So we built an internal automation platform. It works on top of our existing workflows and systems to automate rote work and accelerate insight and action. Our first use case: working actions—such 
 as updating accounts or opening support tickets. By embedding AI into existing workflows, our teams are more efficient, responsive, and customer- focused. This platform handles hundreds