Iro AIWhat you'll be able to do
- Research a market, competitor, or customer segment in under an hour
- Turn a rough idea into a first-draft landing page, email, or deck
- Write prompts that give the model the context it actually needs
- Spot when AI output is confident but wrong — before it costs you
- Build a repeatable AI workflow for the tasks you do every week
Inside the path
A focused set of five-minute lessons — each one ends with a hands-on exercise, not a quiz you can guess.
AI as your first hire 5 min
Where AI genuinely saves a founder time — and the jobs you should never fully hand off.
Research a market in an hour 6 min
Prompt patterns for sizing a market, mapping competitors, and finding customer pain.
First drafts that don't sound like a robot 5 min
Get usable copy for your site, emails, and deck by giving the model your voice and constraints.
Pressure-test your own thinking 5 min
Use AI as a skeptical advisor: red-team your pitch, pricing, and assumptions.
Build your founder AI workflow 5 min
Turn your weekly repetitive tasks into a set of reusable prompts and checks.
Try a sample exercise
This is the kind of card you'd practice inside Iro — you do the thinking, then get feedback.
◆ Sample exercise · Prompt practice
You're validating a new product idea and want AI to help you research the market — but a vague prompt like "tell me about the project management software market" gives you a generic, unusable essay.
Your task: Pick the prompt that will actually give a founder something useful to act on.
- "Tell me everything about the project management software market."
- "Act as a market analyst. For solo founders building a project tool for freelancers, list the 5 biggest incumbents, one weakness of each, and 3 underserved needs. Format as a table and flag anything you're unsure about."
- "Is project management software a good market?"
- "Write me a business plan for project management software."
See why the second prompt wins
The winning prompt does four things a founder needs: it sets a role (market analyst), narrows the context (solo founders, freelancers), asks for a specific, structured output (5 incumbents, weaknesses, underserved needs, as a table), and asks the model to flag its own uncertainty so you know what to verify. The others are too broad — you'd get a confident, generic essay you can't make a decision from. Inside Iro you'd write your own version of this and get feedback on what's missing.
Why founders get uneven results from AI
Most founders try AI, get a few great answers and a few useless ones, and can't tell why. The difference is almost never the model — it's the prompt and the verification. A good founder prompt gives the model the same context you'd give a sharp new hire: who it's for, what "good" looks like, what constraints matter, and what to do when it's unsure.
The other half is judgment. AI will confidently invent a market size, a competitor feature, or a legal detail. The founders who win with AI treat every output as a draft from a fast but junior teammate — useful, but checked before it ships to a customer, an investor, or the codebase.
The highest-leverage uses for a lean team
- Research: market maps, competitor teardowns, customer-interview synthesis, positioning options.
- First drafts: landing pages, cold emails, investor updates, job descriptions, help docs.
- Operational glue: summarizing calls, turning notes into SOPs, drafting support replies, cleaning data.
- Thinking partner: red-teaming your pitch, stress-testing pricing, listing risks you haven't considered.
Notice what's not on the list: letting AI make the decision. It drafts and researches; you decide.