Technical Documentation & QA

Problem solved

AI workflows fail quietly unless expected behavior is defined and failures are classified.

What I built

A 7-step loop: define expected behavior → test → classify → root cause → fix → retest → document. Applied to voice booking and GH-X reliability work.

Technologies used

Structured test notes, case-study documentation, prompt and process revision.

Why this matters to an employer

You get AI support / QA discipline that protects customer experience and reduces repeat defects — without inventing production volume metrics.

Verified outcome

Published sanitized testing docs. Methodology used across voice (5+ failure classes), GH-X reliability thinking, and Airtable QA notes.