Building an AI Video Pipeline: 45 Production Mistakes and Systemic Fixes

Short summary

An AI film crew details 45 mistakes from producing a 10-minute executive briefing video from a 42-page PDF, covering multi-analyst fact verification, AI hallucination sampling, script tone unification, subtitle timing fixes, and creative checkpoint placement. Each mistake was codified into a system rule to prevent recurrence. The core lesson: tailor pipelines to content type and write every mistake into the workflow contract so it cannot be repeated.

• •Multi-analyst independent fact extraction catches numerical errors that a single analyst would miss
• •Random human sampling of AI-generated slides is necessary to catch hallucinated data that VLMs cannot detect
• •Creative checkpoints must be placed early in the pipeline when fixes are cheap, not after rendering and compression

Generated with AI, which can make mistakes.