Pilot5.ai
Your question, deliberated by 5 frontier AI models
77 followers
Your question, deliberated by 5 frontier AI models
77 followers
Pilot5.ai gives legal work an adversarial second opinion. Five frontier AI models analyze the same matter independently, challenge each other anonymously, and converge on a recommendation — while preserving the strongest objection. Research runs against primary legal sources, claims are tagged as sourced or inferred, and case citations are checked for existence. Built for lawyers who want AI analysis they can inspect, challenge, and defend.
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Hey Product Hunt 👋 Thomas here, founder of Pilot5.
We kept running into the same problem: you ask an AI a high-stakes question, you get a confident answer, and you have absolutely no way to know what it's missing. Worse — the better the model writes, the harder it is to spot when it's wrong.
So we built the opposite of a single-model chatbot.
Pilot5 runs five independent AI models in parallel. Each has a distinct analytical role — structure, strategy, technical precision, risk, and contrarian thinking. They don't see each other's initial analysis. Then they cross-examine each other blind.
Only after genuine disagreement surfaces does a synthesis round produce the final recommendation. That recommendation comes with:
→ A GO / PIVOT / STOP verdict
→ A calibrated confidence score (0–10)
→ A minority report — the dissenting view that didn't make consensus
→ Falsification conditions — three signals that would invalidate the recommendation
This isn't a chatbot. The decision is always yours. Pilot5 makes sure you've heard everything worth hearing first.
We're live today — would love for you to stress-test it with your hardest question.
I have seen multiple startups doing this nowadays. Also, yesterday I heard about Meta doing a similar thing. The only question I have for you is: how have you optimized for token utilization? Because with this setup, with five different models working together, the token expenditure is also becoming five times. So how are you managing or handling that? And what is the efficiency in such a case?
@nayan_surya98 Thanks Nayan, honestly appreciate you engaging with this seriously, yes this was the first question we had to answer before we could even think about shipping.
You are definitely right running a deliberation on Pilot5 costs more than a single-model query. Not gonna pretend otherwise. Claude, GPT-5, Gemini, Grok-4 and Mistral Large all firing in parallel is more expensive than one call to any of them.
Thats why we do not want to replace your daily AI. Most people who have tried it keep using ChatGPT or Claude or whatever they like for day-to-day stuff — drafting, iterating, brainstorming. Pilot5 sits at the two ends of that. Either you come in with a messy high-stakes question and use Pilot5 first to frame it : eg structure the trade-offs, figure out what's actually being decided, then take that structured output back to your preferred AI and go deep from there. Or the other way round: you work something through with your AI of choice, you think you've nailed it, and you push the result into Pilot5 to have a frontier panel stress-test it. Catch the blind spots, pressure-test the logic, surface the Minority Report. Bookends of the workflow, not the middle of it.
On the efficiency side — the panel is all frontier models, but each one is routed to the role it's best suited for, for example (as we are itterating on many different models not just these ones as well as there roels ) GPT-5 for structural rigour, Claude for nuance and ethical reasoning, Gemini for long-context synthesis, Grok for math and code, Mistral for the sovereign / alternative angle. We also made the critique round conditional — it only fires when the models actually disagree in a way worth resolving — and synthesis runs once through a single arbiter, not a five-way vote. None of that makes it cheap. It just makes it proportional to what you're asking it to do.
Users work on credits, metered to actual usage, any excess refunded. No flat fees, no weird surprises.
And the reframe I'd offer is this — the right metric isnt tokens-per-deliberation, it's cost-per-correct-decision. A confidently-wrong answer from a single flagship is infinitely more expensive than a panel that catches the blind spot before you commit to something big. That's kind of the whole thesis tbh.
Anyway thanks again for asking — happy to go deeper on any of it
And i hope you try it!
Hi Product Hunt community,
Thomas and I have been working on Pilot5.ai for months. Today we're finally sharing it with you.
The idea is simple: before making an important decision, wouldn't you want five independent perspectives rather than one confident answer?
That's exactly what Pilot5.ai does. Ask one question. Get five independent AI perspectives that actually challenge each other. Then a clear recommendation, and a Minority Report when they disagree.
We'd love to hear what you think after your first deliberation.
Use code PRODUCTHUNT at sign-up. First 100 deliberations, on us.
Wilfrid Rimbault
Co-founder, Pilot5.ai
the better it writes, the harder it is to catch. been burned by this on a real decision. glad someone finally built around that.
@jiang_nancy We knew this product was interesting when the first answer I got to my test question gave me a negative answer and disagreed with the idea I had - and then explained clearly why the dissagreement, that frist test really made us push forward and improve on what we were building. Please test it your first delierbation is on us we very much would like to hear your feedback !