Ask
Start with the real question a curious person would ask.
Astutus training
Short AI lessons with quick checks.
Learn the useful parts of AI without getting buried in jargon. Quinn asks the question, Professor Tutus makes it clear, and each lesson ends with a small check you can pass.
New to AI? Follow the Start Here pathThe learning loop
Every test follows the same simple rhythm.
Ask, explain, study, then pass a quick check.
Explain
Professor Tutus turns the answer into a clear takeaway, with limits included.
Study
Learn the idea in plain language with Professor Tutus nearby.
Pass
Answer a tiny quiz and leave with one useful habit.
Training paths
A place for more than one quiz.
V1 can start simple: a few short lessons grouped by how people actually use AI at work, at home, and in daily decisions.
Foundations
Understand AI before you trust it.
Short lessons for the questions people ask first: what AI can do, where it fails, and how to check it.
- Trustworthy answers
- Privacy basics
- AI hype signals
Workflows
Use AI where it actually helps.
Practical guidance for deciding what to draft, summarize, compare, automate, or keep human-led.
- Automation fit
- Better prompts
- Review habits
Everyday AI
Make better daily decisions with AI.
Plain-language lessons for personal research, home projects, planning, shopping, and family tech choices.
- Safer questions
- Useful comparisons
- When to double-check
AI news room
News that turns into judgment.
Not every AI headline needs panic or excitement. This section can become a weekly place to translate big AI stories into simple questions, practical risks, and useful next steps.
Professor Tutus' read
What changed, and why it matters.
A short plain-language breakdown of the AI story behind the headline: who is affected, what is still unclear, and what to watch next.
Quinn's question
What should a normal person ask?
One practical question for work, home, or daily use so news does not stay abstract.
ASTUTE check
Useful, risky, or mostly hype?
A quick lens for sorting AI announcements into real value, wait-and-see, or marketing noise.
Lesson queue
What comes next.
Lesson 1
Can I trust this AI answer?
A 5-minute start-here lesson on checking context, claims, and confidence before you act on an AI response.
Lesson 2
What should I never put into AI?
A quick privacy and judgment check for work details, personal data, documents, and sensitive questions.
Lesson 3
How do I spot AI hype?
A calmer way to separate useful capability from vague promises, polished demos, and inflated claims.
Lesson 4
When should I automate with AI?
A practical way to decide what should be automated, assisted, or left to human judgment.
Lesson 5
What should a human still decide?
A short guide to strategy, taste, ethics, context, and accountability when AI is part of the workflow.