For team leads, department heads and executives
Your week is status reports, one-on-ones, feedback, planning documents and messages that each need a careful answer. This live practicum shows you how to use AI on that work yourself, so you understand what it can and can't do before you ask your team to use it. You leave with a working personal system and a clearer view of which tasks AI can take over.
Turn scattered team updates, metrics and notes into a short report: what changed, what's at risk, what you need decided. Check every number against the source spreadsheet, because AI can round, merge or invent figures while sounding certain.
Prepare one-on-one agendas, structure feedback around specific behavior and its impact, and rehearse a hard conversation by asking AI to play the other person. Keep names and sensitive details out, and never let the model decide how you rate someone's work.
Turn a transcript or rough notes into decisions, owners, deadlines and open questions. Confirm with participants before sending: summaries sometimes record a discussion as a decision.
Lay out options, trade-offs and risks for a hiring plan, budget request or reorganization, then ask AI to argue against your preferred option. It sharpens your thinking but doesn't know your context, so the decision and its reasoning stay yours.
Draft change announcements, replies to escalations, pushback to senior stakeholders and messages to teams across cultures. AI helps find a tone that is direct and respectful; you check that the text still says what you mean.
You compare ChatGPT, Claude, Gemini and others on management tasks, choose a setup from free to fully working, and see the core mistake that makes people give up on AI. Then we rewrite your own vague request, like "summarize this for the board", into a prompt that gives a usable draft.
Fixing an almost-right draft with five standard corrections, then emails, follow-ups, refusals and difficult conversations with your team and stakeholders. We also cover tone for different cultures, removing the AI smell your team will notice, and your professional profile.
Reports and presentations from structure to slides, a topic researched in half an hour, and where AI is reliable with numbers and where it lies confidently. You also set clear rules for yourself and your team on what never gets uploaded: personal data, NDA material, trade secrets.
You build an assistant for one recurring task, such as a weekly report in your format, and try no-code connections between services in the advanced block. Then a week audit, a map of your system, a way to measure time you get back and a 90-day roadmap.
Every Friday you collect updates from several team leads in different formats and turn them into one report for your director. You want a reliable first draft in a consistent format.
You are a chief of staff who writes short, decision-oriented updates for senior leadership. Context: I lead [department] with [team size] people. The reader is [role], who reads on a phone between meetings. Our quarterly goals: [paste goals]. Task: turn the team updates below into one weekly report. Format: three sections: Progress against goals, Risks and blockers (with owner), Decisions I need from you. No longer than one screen. Constraints: use only facts from the updates. Do not calculate or restate numbers that are not in the data; if a figure is missing, write "no data". Flag contradictions between teams instead of resolving them. Example of a past report the reader found useful: [paste one report] Team updates: [paste updates]
You get a one-screen draft in the same structure every week, with gaps and contradictions flagged instead of smoothed over. Check each figure and each risk owner against the source, and rewrite the decisions section in your own words, since that's where your judgment matters most. Once the format works, you save it as a persistent assistant in the fourth session.
AI doesn't carry responsibility for a decision, and it doesn't know the history, trust and tension inside your team. It can write feedback that sounds fair while missing what actually happened, and present uncertain numbers as facts. Decisions about people, priorities and trade-offs stay with you. The practicum gives you a system for the routine so you have more attention for exactly those decisions.
No. It's a hands-on practicum on how you personally work with AI on real tasks. That experience helps when you later decide what to ask of your team, but enterprise AI strategy and vendor selection are not covered.
Yes. Groups are up to 40 people and cohorts start every month, so colleagues can join the same cohort and each build a system on their own tasks.
It's four 90-minute sessions over two weeks plus a 15–20 minute assignment between them, done on a real work task rather than an exercise. If you miss a session, the recording stays with you forever.
Only within your company's policy. The third session sets out what never gets uploaded, including personal data, NDA material and trade secrets, and how to work with anonymized material instead.
Attend the first session. If the practicum isn't right for you, you get a full refund.
If you need the tools today rather than on the cohort date: a prompt library and a self-paced course on the same program.
$129
Updates, decisions, difficult messages, meeting notes and one-pagers — 100 prompts for managers.
What's inside →$530
Roll out AI across a team: audit the routine, pick the first automations, set the rules, train people and measure hours saved. Text lessons with exercises plus the full document kit.
What's inside →A live practicum for people who work with text, clients and documents. Four sessions that leave you not with notes, but with a working system: configured tools, your own prompt library, and a clear count of the hours you got back.
Pick a cohort and enroll