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Marketing Academy · Field Work●AI in Marketing
CoreAI Critique· 45 minutes

The Pre-Publish Audit: Catching AI Voice Mistakes Before They Ship

Rent the Runway

Objective: Review four AI-voice production specimens from a real-world-style content queue and catch the specific defect in each before it reaches a paying campaign.

You're reviewing this week's AI-voice queue for Rent the Runway's marketing team, the fashion rental company that went public in 2021. Four scripts and clone requests are ready to publish. Your job is to catch what a rushed reviewer would miss.

Read each specimen against the lesson's five common mistakes, flag the real defect, rate its severity, and don't get fooled by the distractors that look like problems but aren't.

Before you start

What you'll need

Free path (everything below is enough to finish)

FreeScore each specimen against the five common-mistake categories with severity ratings

Free, easy to turn into a repeatable pre-publish checklist for a small team

Paid upgrades (optional, faster/deeper)

Descript(optional)
FreemiumRe-review flagged audio segments and regenerate just the problem portion

Segment-level regeneration avoids re-running the full script after a defect is caught

The process

Specimens to review

This script went straight from copywriter to AI generation queue with zero edits. What's the defect, and what will the audio actually sound like?

Sample output
Script queued for generation, no reviewer notes attached:

"Save $50 on your first box! Use code RENT50 at checkout, offer ends 6/30."

Status: Approved for AI generation. Sent straight to ElevenLabs queue.

Specimen: synthetic, realistic

The clone was approved for production use. What's wrong with the source audio, and what will the resulting clone sound like?

Sample output
Production note from the ops team: "Voice clone source audio: 4-minute phone recording of our brand spokesperson, recorded on speaker mode in the office. Cloned voice ready for use in this week's ads."

Specimen: synthetic, realistic

What process step is missing here, and what's the risk of skipping it?

Sample output
Generated audio review log: "Full 45-second ad generated and approved by marketing coordinator without listening to playback. Brand name 'Rent the Runway' appears twice in the script."

Specimen: synthetic, realistic

The dubbed versions are ready to publish alongside the English ad. What step is missing before they go live?

Sample output
Localization ticket: "English ad dubbed into Spanish and Hindi via HeyGen, both versions scheduled to publish same-day as the English original. No in-market reviewer assigned."

Specimen: synthetic, realistic

Final deliverable

A completed audit scorecard for all four specimens: defect identified, severity rated, and the specific fix required before each goes to production.

See a reference example
Sample output
MVMT, AI-voice pre-publish audit (excerpt)

Item 2 of 4 — Voice clone source audio
Defect: Recorded in a moving car, wind noise present
Severity: Critical
Fix: Re-record 60 seconds in a quiet room before re-cloning; do not ship the current clone.

Success criteria

You're done when you can:

  • Correctly identifies the real defect in at least 3 of 4 specimens
  • Does not flag either distractor as the primary defect in any item
  • Assigns a severity level consistent with the lesson's stated risk (mispronunciation vs. legal/consent risk vs. cultural nuance)