Use AI agent platforms to build a digital chief of staff that manages priorities, filters messages, and tracks projects. This automates the administrative and strategic legwork traditionally handled by a human assistant, freeing up executive time for high-value decisions.
State-of-the-art models like Claude Opus are often overkill and unnecessarily expensive for simple, routine tasks like summarizing emails. Using cheaper, less powerful models for these straightforward automations provides significant cost savings without sacrificing performance where it's not needed.
The most critical skill in the age of AI is dedicating time to "work on your job," not just in it. This involves actively observing your daily workflows, identifying repetitive or low-value tasks, and then methodically building AI agents to automate them, thereby creating leverage.
Instead of manually searching for leads, create an AI agent that automates top-of-funnel sales. Program the agent with your Ideal Customer Profile (ICP), including details like shared schools or cities, to source a daily list of high-potential prospects from the web and LinkedIn.
Overcome the memory and context limitations of large AI models by creating smaller, specialized sub-agents. Each agent has a specific goal and toolset (e.g., a "Blockage Radar" agent), which improves reliability by consistently feeding its goals into the system prompt for each task.
AI is moving beyond chat interfaces to generate simple, personalized UIs or "mini apps" connected to agents. This allows non-technical users to spin up bespoke software dashboards for their specific needs, like a project status tracker, heralding an era of accessible, truly personal software.
Teams often lose momentum on long-term strategic goals set during offsites. Create an AI agent that ingests offsite notes and regularly checks project management tools, Slack, and email for progress. The agent then reports on status, keeping the team accountable to the high-level vision.