To determine if a task is automatable, ask three questions: 1) Does it move data between apps? 2) Does it involve complex decisions? 3) Are inputs/outputs consistent? If the answers are yes, no, and yes, it's a prime candidate.

To discover high-value AI use cases, reframe the problem. Instead of thinking about features, ask, "If my user had a human assistant for this workflow, what tasks would they delegate?" This simple question uncovers powerful opportunities where agents can perform valuable jobs, shifting focus from technology to user value.

If you struggle to see your work in terms of 'workflows,' try this: at the end of each day, tell an AI like Codex what you did. After a week, ask it to analyze the transcripts and suggest the most repetitive, time-consuming tasks to automate first.

A practical framework for developing agentic AI is to first map the human workflow. Break down the task into discrete steps, identify which ones can be automated, ensure the necessary data is available, and then build the underlying tools and code blocks. Don't start with the technology; start with the human process.

The true productivity gain from agents like Hermes isn't in perfecting the setup, but in consistently identifying and delegating real-world tasks. Avoid the "rabbit hole" of optimization and focus on what the agent can accomplish to add value to your life.

Modern AI agents with 'computer use' skills can navigate websites, fill forms, and manage applications on a user's behalf. This circumvents the need for specific APIs, automating tedious personal tasks like booking flights, managing appointments across multiple email accounts, or filling out government forms.

To truly leverage AI, professionals must change their approach to tasks. Instead of automatically assuming personal responsibility, the first question should be whether an AI tool can perform it. This proactive mindset shift unlocks significant productivity gains by automating routine work.

Don't just ask AI to perform one step in a tedious process. Constantly challenge yourself to delegate the entire goal. Instead of inputting furniture dimensions, ask the AI to find them in your email. This shifts your effort from doing the work to defining the system that does the work.

The most effective application of AI isn't a visible chatbot feature. It's an invisible layer that intelligently removes friction from existing user workflows. Instead of creating new work for users (like prompt engineering), AI should simplify experiences, like automatically surfacing a 'pay bill' link without the user ever consciously 'using AI.'