Is AI a real lever in your company yet?Free AI for Founders skill check.
The AI for Founders skill check is five multiple-choice questions, one each on Delegating to AI, Verifying claims, Where AI fits, Sensitive data and Customer-facing AI. It is free, takes about three minutes, and grades you from Novice to Expert with every answer explained.
- 5 questions
- About 3 minutes
- Free
Choose a course
Every course in the AI Tutor has its own check: five questions, one per topic.
AI at work 10 courses
For the job you already do, with AI in it.
Sign up free to start. Your answers are graded when you finish and saved to your record.
The AI for Founders skill check.Five topics, one question each.
Question 1 is below exactly as the check asks it. The answer, and why it is right, come with your result.
Founders have the most to gain from AI assistants — small teams, endless drafting, constant context-switching — and the most to lose from using them carelessly. ChatGPT, Claude, Copilot, and Gemini can absorb real work across investor updates, research prep, and support. But the same tools can also put an unsourced number in your pitch deck or company data somewhere it shouldn't be.
This 3-minute check tests five founder-shaped judgment calls: briefing an assistant so delegation actually saves time, verifying claims before they go in front of investors, picking the highest-leverage places for AI in a small team, protecting sensitive company data, and rolling out customer-facing AI responsibly.
Five questions, instant results, free student account — a quick read on whether AI is a lever in your company or just another tab.
- Delegating to AI
Good briefs are what turn AI from a novelty into delegated work you barely rewrite.
- Verifying claims
Unsourced figures in front of investors cost credibility you can't easily buy back.
- Where AI fits
Leverage comes from reviewed drafting and prep, not from automating unowned decisions.
- Sensitive data
Cap tables, contracts, and customer lists deserve a read of the terms before any upload.
- Customer-facing AI
Draft-first rollout keeps a human between the AI and your customers while you learn.
You're using an AI assistant to draft an investor update. The brief that saves you the most rewriting includes…
- AThe words “write an investor update for a startup”
- BAs little context as possible so nothing sensitive is involved
- CThe key numbers, the tone you want, and a past update you liked
- DAn instruction to keep it upbeat regardless of the numbers
“Learn AI” means three things.This check tests one of them.
It tests using AI to run a company: what to delegate, verifying claims, where AI fits, sensitive data and customer-facing AI. No code.
- 01
Machine learning foundations
How models learn from data: the statistics, training and evaluation underneath them.
For you ifyou want to train and judge models, as an ML engineer or data scientist.
Take the Machine Learning check - 02
Applied LLM engineering
Building software on models like Claude and GPT: prompts, retrieval, agents, evals and shipping.
For you ifyou write code and want to build AI features, not train models from scratch.
Take the Generative AI check - 03This check
AI for your job
Using AI tools well in the work you already do: briefing them, checking what comes back, keeping data safe.
For you ifyou do not plan to code and want AI to make the work you do faster and better.
Three steps.About three minutes.
It is free and nothing is booked. Save the report to keep it on your account.
- 01
Pick a course
Any of the 21 courses in the AI Tutor, from Generative AI to AI for Teachers. Each check covers five topics.
- 02
Answer five questions
One question per topic, four options each. Nothing is marked until you finish.
- 03
See your readiness
Your readiness out of 10, a skill map, every answer explained, and the path through the course.
Programmes that build on this check.Your result shows where to start.
Each one teaches AI for Founders by building, and ends in deployed work graded against a rubric you can read.
Before you start.Three quick answers.
Is this about building AI into my product?
No — it's about using AI assistants to run the company: drafting, research, support, and operations. Product AI strategy is a separate topic the full course touches on.
Which tools does it assume?
None in particular. The scenarios apply to ChatGPT, Claude, Microsoft Copilot, Google Gemini, and the growing set of AI features inside the tools you already use.
Is this a test of technical skill?
No — it's a test of operating judgment: what to delegate, what to verify, what to protect. No code involved.
Rather talk to a person?
Tell us what you want to do with AI. We’ll suggest a programme on a 15-minute call.