Stop funding creative guesses. Test the direction first.
I test hooks, concepts, and CTAs with cheap AI video, then give your human creator a brief backed by real data.
Sound familiar?
Your creator shoot is an expensive guess.
You're spending $1,000–5,000 per shoot with zero data on whether the hook will land.
The content looked great. It still failed.
Agencies and creators delivered polished videos. Nobody tested the direction first.
You want AI to support creators.
You know AI video exists. You do not want cheap-looking ads or replaced human creators.
Here's the deal.
I test hooks cheaply.
I generate AI-video variants and test them with real ad spend. The data shows what stops the scroll.
I narrow the field.
Each sprint validates one decision: hooks, then concepts, then CTAs. One winner advances each round.
I brief your human creator.
Your creator gets the winning hook, concept, and CTA. The brief is backed by real performance data.
It makes their expensive time count.
Three steps. That's it.
Test hooks.
I generate eight AI-video hook angles and test them with a small ad budget. The data shows what stops the scroll.
Test concepts and CTAs.
I test concepts using the winning hook. Then I test calls to action using the winning concept. Each round narrows the field.
Shoot the proven winner.
Your creator gets the winning hook, concept, CTA, and rationale. They shoot a validated direction, not a guess.
Proof, not a mood board.
- ✓Winning formula — validated hook, concept, and CTA.
- ✓Full data tables — every tested variant and its performance.
- ✓Creator brief — shot-by-shot structure, delivery notes, timing, and on-screen text.
- ✓Economics summary — test spend compared with blind human production.
- ✓Next-sprint recommendations — what to test against the new winner.
- ✓Optional creator management — priced per project.
Built for
- +Built for: seed to Series A B2B SaaS founders.
- +Built for: teams improving creator ROI before scaling spend.
- +Not for: brands with no paid-social budget.
- +Not for: social-media-manager searches or enterprise testing teams.
I built a founder-content engine for a software agency CEO. It became a top-of-funnel preceding six- and seven-figure deals. In a Sony IT role, I deployed Microsoft Copilot into a live helpdesk workflow. I am a full-stack engineer with hackathon wins. I build the tooling. I have produced content for Nike, Rumble Boxing, Splice, and others. I turn that range into a testing method. Ask me what to validate before your next shoot.
Spend less before the shoot.
Three rounds of data. One validated brief.
Single hook tests start at $750. Full three-sprint cycles start at $1,500. Ongoing monthly retainers are available. Ad spend is separate.
Before you book.
How is this different from making AI-video ads?
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AI video is the cheap testing layer, not the final product. The sprint validates a direction before your creator shoots.
What do I get at the end?
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You get a handoff brief with the winning hook, concept, and CTA. You also get data from every tested variant. Your creator shoots a proven direction.
Does this replace our creators or influencers?
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The opposite. It makes their work perform better by validating the direction first. AI is the scout. Your human creator is the closer.
What does the first sprint cost and look like?
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A hook test starts at $750, plus ad spend. Full-cycle test spend is usually a few hundred dollars. That is typically less than one blind shoot. We begin with a 30-minute intake call. I handle production, ad setup, and data collection. You get an async Loom update at week end. A full cycle usually takes about one hour of your time.
Stop funding guesses.
Test the direction first.
30 minutes. I'll walk through the sprint for your product and whether it is the right fit.