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arian-gogani/README.md

Arian Gogani

Student builder and open-source researcher · Granite Bay High School

I build reproducible systems that test what AI verification actually checked, then turn the result into evidence a stranger can inspect.

Portfolio · Press kit · Nobulex · LinkedIn · X

What I am building

My current work is Nobulex: billing accuracy for usage-based products. Billing code can return success and still produce the wrong amount. I find a reproducible case, check that a regression test fails on the old behavior and passes on the fix, and state what I did not examine. The Kill Bill case and two open fixes are public. This is research and a fixed-scope audit practice, not a deployed billing product or customer validation.

I also maintain a decision-integrity gateway prototype for automated financial actions. It is implemented and tested locally; it is not deployed in a customer production path. It keeps two questions separate:

  1. What does the available evidence establish? PASS, FAIL, or INDETERMINATE.
  2. What may the system do next? PERMIT, BLOCK, or ESCALATE.

That separation matters because missing or unreadable evidence should never quietly become approval.

Measured, not rounded up

5
merged conformance-harness PRs

Counted from merged pull requests #12, #15, #22, #23 and #24 in ScopeBlind's public conformance repository. These were prior agent-governance work, not billing customers.

Prior prototype architecture

proposed action
      │
      ▼
evidence binding ──► PASS / FAIL / INDETERMINATE
      │
      ▼
bounded policy   ──► PERMIT / BLOCK / ESCALATE
      │
      ▼
signed decision receipt

01 · Collect evidence

Bind the proposed action to the exact inputs, sources, timestamps, and identities it depends on.

02 · Establish status

Return PASS, FAIL, or INDETERMINATE. Missing evidence never becomes a clean result.

03 · Apply policy

A bounded deterministic policy returns PERMIT, BLOCK, or ESCALATE.

04 · Preserve the decision

Sign a receipt that binds the action, evidence references, policy version, and outcome.

Selected work

Project What it does What is inspectable
Nobulex Reproduces billing errors that can return success while producing the wrong amount. The current work is a fixed-scope audit and mutation-based regression checks, not a deployed product. The Kill Bill case links two open fixes and states the tested revision and limits.
Decision-integrity gateway A Python prototype that separates evidence status from execution policy before a financial action can proceed. PASS, FAIL, or INDETERMINATE evidence feeds a separate PERMIT, BLOCK, or ESCALATE decision.
Fail-open corpus Minimal reproductions of evaluators and safety checks that can report success without completing the check their result appears to certify. Each published case names its reproduction limits instead of generalizing from one defect.
Surka A small app for keeping two-sided cross-promotion swaps on track, from agreed terms through delivery evidence and results. The public app is live at surka.vercel.app. No completed real-world swaps or paying users are claimed.

External results

Open the complete Evidence Ledger →

The ledger separates normative changes, merged code, references, listings, open or closed contributions, and self-published research. A merge or listing is never presented as an endorsement.

Working standard

I publish the command, the expected result, and the limitation beside the claim. If a result cannot establish something, it should say so. If I am wrong, the correction stays visible.

Canonical profile data: data/profile.json. This README is generated from it.

Pinned Loading

  1. nobulex-registry nobulex-registry Public

    Prior financial-data decision-integrity prototype with offline examples. Not deployed. Current Nobulex direction: billing accuracy.

    Python 2

  2. nobulex-web nobulex-web Public

    Nobulex website: research and prototypes for checking financial decision evidence before consequential actions. Billing replay is research, not a deployed product.

    HTML 1