Jason automates a "chief of staff" thread that runs multiple times a day. It scans his email, Slack, and Linear board to synthesize priorities, pre-draft responses, and even manage tasks like flight check-ins, creating a focused overview of his work.

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.

Instead of relying on one-off prompts, professionals can now rapidly build a collection of interconnected internal AI applications. This "personal software stack" can manage everything from investments and content creation to data analysis, creating a bespoke productivity system.

Overwhelmed by Slack messages and internal documents? Build a Zapier agent connected to your company's knowledge base. Feed it your job description and current projects, and the agent can proactively scan all communications and deliver a weekly summary of only the updates relevant to your specific role.

Instead of struggling to find use cases for a new AI tool, instruct the agent to analyze your existing workflows in apps like Slack, Gmail, and Notion. The agent can then propose personalized, high-value automations, effectively telling you how to best use it for your specific needs.

An executive created a custom AI agent to handle repetitive tasks like meeting prep, calendar triage, and email. This "chief of staff" provides analysis, suggests delegations, and even offers blunt feedback, demonstrating how AI can be personalized to augment executive functions.

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.

Use AI on your own process to accelerate client work. Record discovery calls, generate transcripts, and feed them into an LLM. Ask it to identify the highest-value automation opportunities and map out the step-by-step workflow based on the client's own words.

Instead of guessing where AI can help, use AI itself as a consultant. Detail your daily workflows, tasks, and existing tools in a prompt, and ask it to generate an "opportunity map." This meta-approach lets AI identify the highest-impact areas for its own implementation.