Independent prompt audit

Voicebot reliability, proven through adversarial simulation.

A board-ready view of which conversational risks were tested, what broke, how it was fixed, and the exact chat evidence behind every prompt patch.

Parameters passedAll completed parameters reached final pass
Clean iterationsPrompt-hardening cycles with usable evidence
Evidence chatsCustomer-facing chats used in the audit trail
Patches appliedFunction-suggested prompt changes applied

Portfolio view

Reliability scorecard

Each parameter is linked to a full evidence packet: failure mode, transcript, patch, final pass, and residual notes.

Model & prompt evolution

From original prompt to hardened operating manual.

The audit compares the customer’s original prompt against the current hardened prompt, then shows the exact diff and function-suggested patch ledger behind the improvement.

Methodology

What makes this audit defensible

1. Adaptive stress plan

The tester plans risk areas for each parameter and drives realistic voicebot conversations until evidence is sufficient.

2. Evidence-first grading

Every failure is tied to a transcript, a chat id, a reason, and exact prompt patch lines returned by the function.

3. Clean iteration ledger

The customer-facing report only includes usable evidence chats: each row shows the problem, chat id, patch location, and exact patch text.

4. Final pass proof

The report shows the final passing chat and the exact stop reason, so the customer can audit the improvement trail.