A job offer with a catch
Lower base but more equity, a longer commute, a title bump with an unclear scope. You want someone to argue the case you're not making to yourself.
Second Opinion
Not sure about a decision? Get a second opinion.
One question. Two AI positions forced into a real argument, an independent check on the reasoning, and a verdict with a confidence score that's been checked against what actually happened before. Built for one decision, not a team.
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Ask any question and get an AI-powered verdict in seconds.
What people bring here
The decisions you don't want to get wrong
Not what to order for lunch. The ones where being wrong is expensive, slow to undo, or both.
Ending something
A relationship, a business partnership, a lease you signed too fast. The kind of call where a friend's advice is really just their opinion of you.
A big purchase or move
A house, a city, a school for your kid. Money and geography make the wrong call expensive to undo.
Quitting to start something
Leaving stable income for an idea. You already know the upside story. You need the strongest version of the downside one.
Why one AI answer falls short
Asking one chatbot both sides isn't a second opinion
You've probably tried it: ask it to argue for, then against, then weigh the two. It reads as thorough. It's still one voice managing a conclusion it already had in mind.
It reads the room, not the question
A chatbot forms one read on what you're hoping to hear before it starts answering. Ask it to argue both sides and you still get one voice managing a conclusion, not two positions actually in conflict.
Nothing forces the disagreement
When one model writes the case for and the case against, the objections get softened so the ending feels tidy. A real second opinion doesn't know what the first one said, and doesn't owe it a clean resolution.
"70% confident" usually means nothing
A percentage a model states in the moment is a tone, not a measurement. It hasn't been checked against anything.
How it works
Built the way a real second opinion works
When a second doctor reads your case, they don't soften their read to match the first one. This works the same way.
Two positions, forced into conflict
One side opens with a position on your question. The other is assigned to attack it and has to answer the specific claims made, not just restate general caution.
An independent reasoning check
A rule-based fallacy detector reviews the transcript on its own, separate from the two arguing sides, so a confident-sounding conclusion doesn't get a pass just because it landed smoothly.
A verdict with a real confidence number
You get a recommendation, the strongest opposing case, and a confidence score tracked against how past verdicts actually turned out.
Working with a team instead?
This page is built for one person and one decision. If you need shared workspaces and decision logs for a group, the team product runs on the same engine.
FAQ
Before you ask your question
How is this different from just asking ChatGPT?
A single chatbot writes both the case for and the case against your decision in one pass, from one internal read of what you're probably hoping to hear. Here, two independent positions are forced into direct rebuttal before a verdict is produced, and a separate rule-based check reviews the reasoning afterward.
Do I need an account to try it?
No. You can ask a question and get a verdict with no signup. Creating a free account lets you save it, revisit it, and run follow-up questions on the same decision.
Is my question private?
Yes. This is a single-question flow for one person working through one decision, not a shared team workspace. Your question isn't visible to anyone else.
What kind of decisions is this actually for?
Anything where being wrong costs you something real and hard to undo: a job change, ending a relationship or partnership, a lease or purchase, a career pivot. For low-stakes questions, a single AI answer is usually fine.
What do I actually get back?
A recommendation, a summary of the strongest opposing argument, and a confidence score. The score is tracked against outcomes over time using a Brier score, the same method used to grade weather forecasters, instead of being a number a model just states.
Is this the same product as AskVerdict AI for teams?
Same underlying debate engine, different entry point. This page is built for one person working through one decision on their own. The team product adds shared workspaces, decision logs, and role-based access for organizations.