AI decisions are easy to make but surprisingly hard to prove months later. AIDAL generates tamper-evident evidence, plain-English explanations, compliance-ready reports, and public verification for every AI decision with a single API call. Instead of asking people to trust your logs, give them cryptographic proof they can verify independently.
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Maker
📌
Hi Product Hunt! 👋 I'm Anthony, an 18-year-old solo founder from Bandung, Indonesia.
A few months ago, I kept coming back to one question:
If someone challenged an AI decision six months later, how would you prove what actually happened?
I expected there to be a standard answer.
There wasn't.
Most AI systems store logs, but logs are controlled by the same company that generated them. If someone asks, "How do I know this wasn't changed?" there usually isn't a simple way to prove it.
So I built AIDAL.
With one API call after your AI model runs, AIDAL automatically:
🔐 Creates tamper-evident cryptographic evidence
📖 Generates a plain-English explanation
📄 Produces a compliance-ready PDF report
✅ Lets anyone independently verify a decision—no login, no trusting us, just verification
The idea is simple:
Every AI decision should come with a receipt.
I'm still building this in public and would genuinely love your feedback—especially if you're building AI products, work in fintech, or think this approach is flawed.
I'm not looking for "looks great!" comments.
I'd much rather hear:
What doesn't make sense?
What would stop you from using it?
Is there a workflow or feature I'm completely missing?
Thanks for checking it out, and I'll be here all day answering questions. 🙌
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Curious how this handles model updates or retraining — does the cryptographic chain stay intact when the underlying AI changes, or does each version need its own separate verification trail?
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Maker
@ferdif5tf The chain doesn't reset per model version, it's continuous across every decision regardless of which model produced it. Each model gets registered separately with its own version hash, and every decision references which version made it, but decisions from v1 and v12 sit in the same unbroken chain. That way you can prove nothing was reordered or backdated.
Curious how this handles model updates or retraining — does the cryptographic chain stay intact when the underlying AI changes, or does each version need its own separate verification trail?
@ferdif5tf The chain doesn't reset per model version, it's continuous across every decision regardless of which model produced it. Each model gets registered separately with its own version hash, and every decision references which version made it, but decisions from v1 and v12 sit in the same unbroken chain. That way you can prove nothing was reordered or backdated.