Shift your mindset from using AI as a tool for a specific function (e.g., a scheduler) to creating an AI agent as an employee who owns an entire outcome (e.g., 'run my marketing'). This changes the interaction from using software to delegating goals to an autonomous agent.

To truly leverage AI, teams need a new operating model. The first step for any task should be asking, "Can an agent do this?" This reframes every employee as a manager who must onboard, provide context to, and direct their AI teammates, fundamentally changing how work is approached.

Treat advanced AI systems not as software with binary outcomes, but as a new employee with a unique persona. They can offer diverse, non-obvious insights and a different "chain of thought," sometimes finding issues even human experts miss and providing complementary perspectives.

Treat AI assistants like individual team members by naming them and running them on dedicated hardware (like Mac Minis). This approach makes it easier to 'train' them on specific tasks and roles, transforming them into specialized, highly effective agents.

Don't view AI tools as just software; treat them like junior team members. Apply management principles: 'hire' the right model for the job (People), define how it should work through structured prompts (Process), and give it a clear, narrow goal (Purpose). This mental model maximizes their effectiveness.

A chatbot is a passive tool requiring your input for an answer (pull). An agent is an active, autonomous system that runs full workflows and presents completed work (push). This mental model reframes AI from a one-off task completer to a delegate for entire areas of responsibility.

Building AI systems around rigid "workflows" is a mistake because knowledge work lacks predictable "happy paths." A superior mental model is "delegation," where the AI is treated like a human assistant. You delegate a task area, and the AI is expected to learn and adapt to novel circumstances, not just execute a process.

Treating AI as a personal assistant solves individual tasks but not team coordination. The solution is to deploy "AI Teammates"—integrated agents with specific roles, permissions, and the ability to work with multiple stakeholders within a shared workflow, autonomously moving projects forward.

The paradigm shift with AI agents is from "tools to click buttons in" (like CRMs) to autonomous systems that work for you in the background. This is a new form of productivity, akin to delegating tasks to a team member rather than just using a better tool yourself.