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AI & technology Work & ambitions

How to know when you can trust an AI answer

Tell which AI answers to trust, and which to check.

Judge an AI answer by the consequence of an error and the evidence behind its important claims. Open cited sources, check their scope and independently verify calculations. Repeated answers or detailed explanations are not independent proof.

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Start with three things you can do today

A starting goal

I use AI answers but worry about confident errors. Help me recognize tasks that need extra checking, compare evidence, and decide when a human expert is the better source.

Change any word so it fits your situation. The course is built from what you type and a few setup questions.

Start today

Three things you can do before the course exists.

Useful on their own. The course is for when you want the whole skill, not just the first move.

  1. Find the claim that changes the decision

    Original hypothetical answer: "The service costs $12 per month and you can cancel anytime." The material claims are the price, billing period and cancellation terms. They need current official evidence for the relevant market and plan, not just a plausible summary.

  2. Test the cited support

    Suppose the linked page says "$12 per month, billed annually." A summary implying monthly billing would be misleading: the displayed monthly equivalent is not the payment schedule. If cancellation terms are absent, record them as unknown rather than filling the gap.

  3. Choose an appropriate next source

    Check the actual terms before paying. For consequential medical, legal, financial or safety decisions, seek relevant qualified advice rather than using this exercise as validation. If two AI answers agree, they can still share the same mistake; if they differ, inspect the underlying evidence.

Sources: NIST: generative AI errors, evidence and privacy risks. Practical examples are starting points, not promised results.

Best for
AI & technology
Prerequisites
None. Bring the situation you have.
Course length
7 to 30 lessons
Pace
Yours. One lesson at a time, as often as you like.
Format
Read it, or play the audio
Access
Available on the App Store and Google Play, with an optional early testing list

Before the course is built

Setup asks about your situation first.

Lesson 1 opens on the moment you describe, and the examples use your role. For this request, expect questions like these.

  1. Where do you use AI answers: work documents, research, health or money questions, or coding-free technical decisions?
  2. Have you been caught out by a wrong answer yet?
  3. What would a costly error look like in your situation?

Right for now

If any of this sounds familiar, start here.

You cannot tell when it is guessing

Right and wrong answers arrive in the same tone.

You check everything or nothing

Either it slows you to a crawl or you take a risk you cannot see.

Your work depends on getting it right

A wrong figure or citation would be embarrassing or worse.

Course arc

Where the course goes, in order.

Cadence writes the lessons for you, so the exact path follows your answers. This is the ground a course built from this sentence covers.

01 / 06

Where errors cluster

Checking important facts, current information, calculations and references.

Reading the answer

Why tone alone cannot establish whether a statement is supported.

Cheap verification

Checking the load-bearing claims against a source, fast.

Asking for evidence

Asking for checkable support and recognizing that an explanation can also be wrong.

When to go elsewhere

When consequential decisions require relevant qualified advice and current primary information.

A checking habit

A short routine that fits how you actually work.

What changes

What you will be able to do, and what you will stop believing.

You will be able to

Predict risky answers

Identify claims whose error would materially affect your decision.

Verify efficiently

Check the parts that matter without redoing the whole task.

Route to the right source

Decide when a person, a primary document or a calculation should replace the AI answer.

Ideas this course corrects

A newer model cannot produce false information

Evaluate the specific answer and evidence; model recency is not a guarantee.

A citation proves the adjacent claim

The source may be wrong, outdated, invented or cited for something it does not say. Open and assess it.

Course questions

What to know before you start.

How to know when you can trust an AI answer: what can I do today?

Find the claim that changes the decision. Original hypothetical answer: "The service costs $12 per month and you can cancel anytime." The material claims are the price, billing period and cancellation terms. They need current official evidence for the relevant market and plan, not just a plausible summary. Test the cited support. Suppose the linked page says "$12 per month, billed annually." A summary implying monthly billing would be misleading: the displayed monthly equivalent is not the payment schedule. If cancellation terms are absent, record them as unknown rather than filling the gap. Choose an appropriate next source. Check the actual terms before paying. For consequential medical, legal, financial or safety decisions, seek relevant qualified advice rather than using this exercise as validation. If two AI answers agree, they can still share the same mistake; if they differ, inspect the underlying evidence.

Is this a fixed course?

No. Cadence builds the course when you type the sentence and answer a few setup questions, so the lessons follow your situation. This page describes what a course built from this request covers. You see the whole path before Lesson 1.

Who is this course for?

Judge an AI answer by the consequence of an error and the evidence behind its important claims. Open cited sources, check their scope and independently verify calculations. Repeated answers or detailed explanations are not independent proof. It sits under AI & technology in the Work & ambitions part of the library.

Do I need any prior experience?

No. Setup asks what you already know and where you want to use it, and the course starts from there. Bring a real situation if you have one; the examples are built around it.

How long does it take?

Most courses run 7 to 30 lessons. The course length is sized to what you asked for. You set the pace: one lesson at a time, as often as you like. Lessons can be read or played as audio.

Does this course award a certificate or degree?

No. Cadence is for practical self-learning and does not award accredited degrees or professional certification.

Start today

Type it, answer a few questions, open Lesson 1.

A starting goal

I use AI answers but worry about confident errors. Help me recognize tasks that need extra checking, compare evidence, and decide when a human expert is the better source.

Want new features first?