Hire AI Video Generation Developers.

• Real experience with visual continuity, color grading, and sound design, not just generating a clip and calling it finished.
• A track record of versioning and reusing reference assets across a campaign or brand identity.
• Understanding of rights, consent, and provenance requirements for synthetic likeness and voice.
• Comfort deciding when a shot needs conventional capture instead of generation.
• A portfolio that shows the same identity or product held consistent across at least three separate pieces, not just one polished demo reel, since single-asset consistency is easy and multi-asset consistency is the actual test.

• "How would you lock a visual system so a campaign can be extended months later?" A vague answer usually means drift will show up eventually.
• "Walk me through your post-production process." Tests whether output will reach broadcast quality or stay at model-default.
• "How do you handle consent for a real person's likeness or voice?" Listen for a documented, legal-reviewed process, not an assumption.
• "What's the first thing you'd build?" Visual system and reference assets should come before generation tuning in a good answer.

Watch for candidates who answer the visual system question in purely technical terms (model names, resolution, frame rates) without ever mentioning how the reference assets get reused or versioned across future campaigns. That's usually a sign they've generated individual clips successfully but haven't run a pipeline that had to stay consistent over multiple projects, which is a different and harder problem.

• A demo reel showing only raw generated clips with no evidence of post-production.
• No mention of consent or provenance for any project involving real likeness or voice.
• No plan for versioning reference assets across a campaign's lifetime.
• Claims that generation replaces production entirely, with no acknowledgment of where conventional capture still wins.
• Pricing quoted per finished video with no explanation of what's reused across assets, a sign the visual system and reference work aren't being tracked or amortized at all.

• In-house: best when video production is a sustained, high-cadence need across many campaigns and the team can justify dedicated headcount.
• Cloudz as an agency engagement: best for a first pipeline or a focused campaign, and brings established production discipline and pipeline engineering together.
• Cloudz as a freelance engagement: best for a narrow, well-defined asset type with existing brand visual guidance in hand, when you want senior-level execution without a full team retainer.

See our AI video generation guide for the architecture whoever you hire should be building toward, and our AI video generation cost guide for what a realistic budget looks like.