Iro AISet the standard
Define what 'good' AI work looks like for your team.
Review AI output
Practice spotting weak prompts, hallucinations, and over-trust.
Design safer workflows
Place human review where it actually matters.
Why managers need their own AI path
Managers do not just need to use AI — they need to evaluate it, set expectations around it, and design workflows that combine humans and AI safely. Without that, teams either underuse AI (slow) or overuse it (risky).
Iro's manager path teaches the operating-system around AI: when to use it, how to review it, how to staff it, and how to coach people who use it.
What you practice in Iro
- Defining team standards for prompt quality and output review.
- Reading AI-generated work skeptically — without micromanaging.
- Choosing the right model for the job across ChatGPT, Claude, Gemini, and Perplexity.
- Designing review steps and approvals for high-stakes AI work.
- Coaching reports who are over- or under-using AI tools.
Who this is for
The manager path is built for engineering managers, product managers, marketing leads, operations leaders, founders, and anyone responsible for a team's output. It pairs well with AI for work and AI agents.