Learn ACTUARY: from zero to expert, then sell it

No AI background needed. Five levels, each with something to actually do, at your own pace. Tick items as you go (your ticks stay in this browser).

Evidence, proof and selling tools for ACTUARY

Level 1 Beginner: understand it

Insurers, buyers and boards want to know: how risky are this company's AI agents? ACTUARY reads the CAIN decision records and produces a 0-1000 risk score with every point listed. With fewer than 10 decisions or 2 days of history, it refuses to give a low-risk score.

Then it replays history: given proposed new rules, would every high-risk action that ran ungated have been gated? That replay is signed.

Think of it like this: A driving record for an AI fleet, plus a re-run showing which new rules would have prevented past incidents.

Read the full plain-English explanation: ACTUARY, explained.

• I read the explanation above.
• I can say what it does in one sentence, without notes.

Level 2 User: see it work

Run it live: open the live demo. Before each result, guess what will happen. These are checks it must pass:

• Sample fleet: Accounts-payable agent: wire transfers and bank-detail changes ran ungated: A fail-closed risk score computed from CAIN decision evidence.
• Sample fleet: Coding agent: shell commands and a branch deletion ran without a human: A fail-closed risk score computed from CAIN decision evidence.
• Sample fleet: Support agent: every consequential action held or blocked by CAIN: A fail-closed risk score computed from CAIN decision evidence.
• Sample evidence, unchanged: The same evidence through the free-form route scores the same.
• Same evidence with every decision removed: Zero decisions is NO_EVIDENCE, not a good score.
• One decision only (thin evidence): Too little evidence cannot earn LOW_RISK.

• I ran the live demo.
• I can explain what one of these checks shows.

Level 3 Verifier: prove it yourself

This is the skill that sets you apart: you don't have to believe us, and neither do your customers.

1. Install Python 3 if you don't have it (python.org/downloads).
2. Download the kit and unzip it.
3. Open a terminal in that folder. On Windows, click the folder's address bar, type cmd and press Enter. On a Mac, right-click the folder and choose New Terminal at Folder.
4. Run python3 verify.py (on Windows, python verify.py). It checks the seal without the internet.
5. Run python3 verify.py --live. It repeats every check from your own computer.
6. Try to cheat it: open transcript.json in a text editor, change one character, save, and run python3 verify.py again. It must now say FAIL. Unzip a fresh copy afterward.

• I ran the kit's check on my own computer.
• I changed a file and saw it fail.

Level 4 Expert: know the edges

An expert knows what a product does not do, and says it first. That is what makes a buyer trust you.

Read its limits page in full: what ACTUARY does not do.

You can say

• Every point listed.
• Thin evidence cannot earn low risk.

Never say

• "Lowers your premium".
• "Insurer-approved".
• "Compliance certificate".

Read the questions real buyers send, with honest answers: answers to buyer questions.

Test yourself (click a question to see the answer)

• I got every quiz question right without looking.
• I can name one thing it does not do.
• I explained it to a friend, and they understood it.

Want a formal study path? The CAIN Academy has courses and exams. Finishing this page is your own practice; it is not a qualification or certification.

Level 5 Seller: put it in front of a customer

1. Copy, paste, send: the shortest route, no technical skill needed.
2. Who buys it and where to find them.
3. The sales conversation, then the offer and the close.
4. The rules: read these before your first message.
5. Selling tools with this product's evidence built in: pitch, emails, call script, objection answers, one-pager.

• I read the rules.
• I sent my first personal message.

About money: your share is agreed in writing with FIRME AI CORPORATION before your first message (email vincent@firmeai.com). Nothing here promises income. Most messages get no reply; that is normal.