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Lians
Reconstruct what AI knew, did, and why at decision time
Lians is the system of record for AI in regulated workflows. Preserve exact source, prompt, policy, permission, model, and tool versions so teams can reconstruct agent decisions after the underlying facts change.
Hi Product Hunt,
I am Ethan, co-founder of Lians.
AI audit logs usually record prompts, outputs, and tool calls. That works until the underlying policy, filing, entity record, or external source changes. Replaying the workflow with today's data produces a new decision, not the original one.
We built Lians to reconstruct what an AI system knew, did, and why at the moment a decision was made. It preserves the exact evidence, prompts, policies, permissions, source versions, models, and tools active during a run.
We are three weeks old, pre-1.0, and the product is live. We are opening a founding cohort for 5 to 7 design partners in financial research, risk, compliance, and other evidence-heavy agent workflows.
We would especially value feedback from teams whose agents depend on facts or rules that change over time.
What breaks first in your current audit trail when the facts change?
About Lians on Product Hunt
“Reconstruct what AI knew, did, and why at decision time”
Lians was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #154 on the daily leaderboard. Lians is the system of record for AI in regulated workflows. Preserve exact source, prompt, policy, permission, model, and tool versions so teams can reconstruct agent decisions after the underlying facts change.
On the analytics side, Lians competes within Privacy, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Lians performed against the three products that launched closest to it on the same day.
Who hunted Lians?
Lians was hunted by Ethan Beirne. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Lians including community comment highlights and product details, visit the product overview.
Ethan Beirne