AI in daily work
Turning AI into a genuine productivity multiplier for writing, analysis, research, and admin, plus the judgment to know when not to use it.
Most senior leaders talk about AI in board meetings and then go back to doing their own work the slow way. That gap ends here. This block turns AI from a buzzword into a tool you actually use every day, on the tasks that fill your calendar right now.
Start with the everyday use cases. You will draft faster, edit sharper, and control tone without staring at a blank page. You will run analysis and research that used to eat afternoons, summarizing dense documents, comparing options, and extracting exactly what you need. Then we go after the quiet time thief, meetings, email, and admin, and show you how to reclaim hours every single week. Not someday. This week.
Then we move from tricks to systems. Anyone can get a lucky answer from a chatbot. Leaders build workflows. You will learn precisely when AI helps and, just as important, when it does not, so you stop wasting time forcing the wrong tool on the wrong job. You will learn to verify outputs, because trust without checking is how smart people ship confident nonsense. Hallucinations are real, and you will know how to catch them.
Finally, you build your own personal AI workflow, tuned to how you actually operate, not some generic template. This is the difference between people who mention AI and people who compound their output with it every day.
You are busy. Good. That is exactly why this matters. The point is not to admire the technology. The point is to move faster, think clearer, and free your attention for the decisions only you can make.
What you'll master
- Draft, edit, and adjust tone in a fraction of your usual time
- Summarize, compare, and extract insight from dense material fast
- Reclaim hours each week from meetings, email, and admin
- Judge when AI adds value and when it quietly wastes your time
- Verify AI outputs and catch errors before they reach anyone
- Build a personal AI workflow tuned to how you actually work
- Turn AI from a talking point into a daily performance edge
Modules
Practical ways to use AI for writing, research, and routine office tasks.
How to judge when AI helps, check its outputs, and design a reliable workflow.
Frequently asked questions
What does the AI in daily work block actually cover?
It covers using AI on the tasks that already fill your calendar: writing and editing, analysis and research, then meetings, email and admin. It is split into two modules, Everyday use cases and Building AI workflows, six lessons in total. The second half is about judgment and reliability rather than more tricks.
Do I need a technical background to follow it?
No. AI in daily work is aimed at senior managers and executives who want to use AI on their own workload, not at people building models. Terms like Large Language Model, context window, hallucination or agentic AI are introduced as you need them, without code.
What is the difference between the two modules?
Everyday use cases is about immediate application: drafting, editing, tone, summarizing, comparing, extracting, and clearing meeting and email overhead. Building AI workflows is about method: deciding when AI helps, verifying its outputs, and assembling a personal routine. The first gives you speed, the second keeps that speed from producing errors.
Where should I start if I already use a chatbot occasionally?
Start with the lesson on when AI helps and when it does not. Occasional users usually lose time by pushing the wrong task at the tool, so the judgment lesson pays off faster than more prompting technique. Then go to verifying outputs and building your personal workflow.
How does the block handle hallucinations and unreliable answers?
There is a dedicated lesson, Verifying outputs: trust but check, built around catching errors before they reach a colleague, a client or a board pack. It treats hallucination as a normal property of Large Language Models rather than an occasional glitch, so verification becomes a step in your process, not an afterthought.
What does a personal AI workflow mean in practice?
It means a set of repeatable habits tied to your actual tasks: which jobs you delegate to AI, how you brief it, what you always check, and what you keep doing yourself. The final lesson of AI in daily work builds this around how you operate rather than handing you a generic template.