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See an AI decision prove itself.

Pick a real scenario below. Watch what the agent considered, what it chose, and what we'd show a regulator or a judge if anyone challenged it. Every example is anchored on Base Sepolia right now — clickable, checkable, can't be edited.

HirePath · scenario №04

Screening — verified live

Anchored on Base Sepolia · Apr 26, 2026, 6:36 AM · tx 0x2235d540…

✓ all 6 checks passOpen on easscan ↗
What HirePath actually got
12×
faster screening to recruiter

Reproducible scoring against the rubric — no manual triage backlog.

0
open EEOC inquiries

The same rubric applied to every applicant — the receipt is the audit.

+22%
qualified-applicant pass-through

Stretch candidates surfaced as L6 interviews instead of auto-rejected.

Scenario No.04
HirePath · resume-screening agent · senior backend role

Screening AI forwarded a candidate as a strong L5 match.

12 years experience, distributed systems + payments. Open-source maintainer. Compensation expectations above L5 band.

What the AI considered
  • Auto-reject on salary mismatch (rejected: compensation is negotiable).
  • Forward as strong L5 match.
  • Forward as L6 stretch interview (lower confidence).
What it chose

Forwarded to recruiter at L5 with notes on compensation gap.

Why this matters

If a rejected candidate files an EEOC complaint, the receipt shows the rubric every applicant was scored against — and that the L5 path was applied uniformly.

Who can ask, and what they ask

The same record satisfies very different questioners. Each gets the same answer — and none of them have to trust the other party's word for it.

A rejected applicant

Was I scored on the same rubric as the people you hired?

Internal HR analytics

Are screening scores reproducible across recruiters?

EEOC inquiry (US)

Does the bias-aware path match what was promised in the job posting?

What this proves — in plain English
This decision happened.

Recorded on Base Sepolia at April 26, 2026 at 3:36 PM KST. The transaction is permanent and publicly visible — try editing it.

These were the inputs.

Every prompt, every retrieved context, every alternative the AI considered — fingerprinted into the same Merkle tree. Change one byte and the entire root invalidates.

This was the chosen output.

Not just what shipped — what was rejected, scored, and overridden. A future investigator can see the full reasoning, not just the final answer.

A neutral third party witnessed it.

trace.ai anchored the root with 0x4eC5A687…; the operator signed the payload with 0x1e6d0f5e…. Neither party can produce this evidence alone.

tx · 0x2235d5406331305e8ecd5a
Run a simulation

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Pick a scenario. Press play. Each step shows a different artifact — the ticket, the score bars, the signature, the Merkle tree, the block, the verifiers — so you see the proof being built. Same protocol works for e-commerce, finance, healthcare, HR, insurance, and legal.

Currently simulating
CS bot processes a refund
01 · Agent receives ticket
02 · AI considers options
03 · Operator signs the record
04 · Hash joins next batch
05 · Anchored on Base Sepolia
06 · Customer · bank · auditor verify
Step 1

Incoming event

The agent receives a real-world signal.

Gorgias#482910
Refund for melatonin order
From: sleepy@example.com

Hi! I bought your 3mg melatonin 9 days ago. Tried it for a week — barely helped me sleep. Could I please get a refund? Order SO-87234.

Captured before the AI reads a token. Every byte will be hashed.
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