> Canonical: https://drkishanrees.com/learn/two-desk-method/

# When should I get a second opinion from another AI?

*One model is enough to start, but when a decision matters and you are not sure, putting the same question to a second model is a powerful check. The discipline is what makes it work: treat a disagreement as evidence to test, not a contest to win.*

Prompts & Workflows. 4 min read.

First published 9 August 2026

<TrueFalseCard statement="If a second AI model disagrees with the first, the safe move is to trust the one you like more and move on." correct={false}>

The disagreement is the useful part, not the problem. It is often the exact spot where a real mistake is hiding. The move is not to pick a favourite, but to check the claim on its merits and find out which model is actually right. That check is the whole method.

</TrueFalseCard>

You do not need two AI models to start, and for most everyday work one is plenty. But there is a habit
that has saved me from real mistakes, and it is worth knowing early even if you use it rarely: when a
decision matters and I am not sure, I put the same question to a second model and see what it says.
Doctors call it a second opinion, and it works the same way here.

## What is the two-desk method?

It is running the same question past a second model, at a second desk, wherever I am unsure. On this
site the first desk is Claude and the second is OpenAI's Codex. I do not reach for it on every small
edit, which would be slow and pointless. I reach for it when a choice is hard to reverse, when I
cannot check the answer myself, or when the first model sounds confident about something important and
I want that confidence tested before I trust it.

The point is not to make two models agree. It is to get two separate readings of the same problem, so
a blind spot in one has a chance of being caught by the other.

## When is it worth a second opinion?

Not always, and knowing when is half the skill. A quick trip to the second desk earns its keep when:

- **The decision is hard to undo.** Publishing something, changing how a site is hosted, anything you
  cannot quietly take back.
- **You cannot verify the answer yourself.** If you have no way to check a claim, a second model that
  reaches the same answer by a different route is real reassurance, and one that disagrees is a
  warning worth heeding.
- **The first model is very confident about something that matters.** Confidence is not correctness. A
  second opinion is how you tell the two apart.

For everything else, one model and your own eyes are enough. A second desk on every typo would only
slow you down.

## What do I do when the two disagree?

This is the part that makes it work, and it is a discipline, not a tool. When the second model
contradicts the first, I do not side with the one I trust more, and I do not treat it as a contest. I
check the claim on its own merits, decide which is actually right and why, and say so plainly, even
when the answer is that my usual model was wrong. Then I credit the model that caught it, in the
record.

Two things to hold onto. A disagreement is evidence to test, never a fight to win. And when both models
were working from the same information, they gave you two separate readings of one source, not two
independent confirmations, so treat a shared source with the caution it deserves.

## Has it actually caught anything?

Yes, more than once, on this site. A second model has flagged real errors the first was confident
about, including a mistake in how the site's hosting was going to be set up: the first desk was sure,
the second said it was wrong, and the second was right. The fix went in before it reached anyone, and
the record notes which model made the catch. The fuller story is published in
[Two desks, one accountable editor](/dispatches/two-desks-one-accountable-editor/).

## So, should I get a second opinion?

Not for everything, and not on day one. But keep the habit in your pocket, and reach for it the moment
a decision is important and you are unsure. Put the same question to a second model, treat any
disagreement as the most useful thing in the room, and work out which answer is actually right rather
than which tool you prefer. The models give you two readings. The judgement of which one to trust, as
always, stays yours.

## Questions and answers

### Should I use more than one AI model?

Not to begin, and not for routine work. But when a decision is high-stakes, or you cannot check the answer yourself, putting the same question to a second model is one of the most useful habits there is. I run a second model, OpenAI's Codex, alongside Claude wherever I am unsure, and it has caught real errors more than once.

### What do I do when two models disagree?

Treat the disagreement as the useful part, not a problem. Check the claim on its own merits, decide which is actually right and why, and say so plainly, even when it means the first model was wrong. Never pick a side by loyalty. A contradiction is evidence to test, not a contest between tools.

### Does a second opinion actually catch anything?

Yes. A second model has flagged real mistakes on this very site that the first was confident about, including an error in how the hosting was going to be configured. The second opinion was right, the fix went in before anyone saw it, and the record credits which model made the catch.

## Related resources

- Vibe coding with veracity: the discipline a second opinion serves: https://drkishanrees.com/ideas/vibe-coding-with-veracity/
- How do I hand a prompt to another AI?: https://drkishanrees.com/learn/hand-a-prompt-to-another-ai/

Cite as: Rees, Kishan. 'When should I get a second opinion from another AI?'. drkishanrees.com, first published 9 August 2026. https://drkishanrees.com/learn/two-desk-method/