NP / proof lab

Reliability proof for AI automation agencies

Don’t trust the happy path. Break the workflow first.

I reproduce one expensive failure, make the system tell the truth, and rerun the same check. You get evidence your team can inspect—not another polished demo that hides the edge cases.

Run the 30-second proof See the $199 pilot boundary

Independent engineering proof · Synthetic data · No provider, credential, or production access

BT-001 Booking truth Synthetic
  1. Tool result ERROR appointment_id=null
  2. Agent claim “You’re booked.” verdict=FAIL
  3. After truth gate Not confirmed retest=PASS

One invariant: confirmation requires a successful write and an appointment ID.

Open the evidence

Four proofs. One reliability story.

Start with the failure closest to the prospect’s workflow. Every page separates executable behavior, historical evidence, and synthetic illustration.

AI voice / booking Live interactive

False booking confirmation

The booking write fails. The broken agent still says “confirmed.” Apply the gate, retest the failure, then verify a genuine success still works.

Time
Under 30 sec
Network
None
Evidence
Event trail
Run booking-truth proof →
Webhooks Live interactive

Retries without duplicate work

Validate a synthetic event, expose duplicate identity, and watch temporary failures move through a capped retry timeline.

Open Webhook Lab →
Async reliability Evidence case

One request, one response owner

See how competing responders were reduced to one authoritative path with a bounded recovery route.

Read the repair evidence →
Launch QA Synthetic sample

A report a client can act on

Review severity, reproduced evidence, remediation, retest state, and the limits of the result in one concise sample.

View sample QA report →

First paid pilot

$199

Fixed scope. One workflow. One retest.

Give one client workflow a hard launch check.

Included

  • One agent or automation workflow
  • One critical business flow
  • 10–12 selected deterministic scenarios
  • Findings, one agreed remediation pass, and retest
  • Concise launch-readiness summary

Boundary

  • Owned, local, sandbox, or explicitly authorized target
  • Synthetic fixtures by default
  • No compliance certification or destructive testing
  • Provider usage is client-funded or separately capped
  • Reusable internal QA tooling stays private

Send the workflow, the failure you fear, and the environment you control. I’ll reply with a bounded test plan—not a vague proposal.

Describe one workflow

What this proves

The test is real. The customer story is not invented.

These are independent-project proofs using synthetic scenarios. They show how I reproduce failures, enforce a boundary, and verify the changed behavior. They do not claim paid-client results, production uptime, security certification, or universal coverage.

See the wider engineering portfolio →