AI Video Production Pipeline

13 video advertisements across 10 brand identities. Every script, video, and voiceover produced through a multi-model AI pipeline — Gemini, Veo 3, and Eleven Labs working in sequence.

13 Video Ads Produced

10 Brand Identities

3 AI Models Orchestrated

Demonstrate ad capabilities at scale without a production budget

The Tempest application needed to showcase its advertising capabilities to potential clients and investors. That meant producing real, varied video advertisements — not mockups, not storyboards — across multiple industries and brand voices. A traditional production approach would require hiring copywriters, videographers, voice actors, and editors for each brand. Multiply that by ten brands and thirteen ads, and you're looking at a production budget that didn't exist.

The constraint became the opportunity: could a single person produce broadcast-quality ad content across ten distinct brand identities using only AI tools? Not as a gimmick, but as proof that a multi-model pipeline could deliver production-ready work.

A three-stage production pipeline

I designed each brand from scratch — name, visual identity, voice, and positioning — then ran every brand through a repeatable three-stage pipeline. Each stage used a specialized AI model for what it does best, with human creative direction between stages to maintain quality and brand consistency.

Script

Gemini

→

Video

Veo 3

→

Audio

Eleven Labs

→

Assembly

DaVinci Resolve

Gemini Veo 3 Eleven Labs DaVinci Resolve

Why three models, not one

Gemini → Script

Gemini handles script writing and prompt refinement. Each brand has a distinct voice — a fitness brand doesn't sound like a financial services company. Gemini generates scripts calibrated to brand positioning, then iterates on prompts that will feed into Veo 3. The LLM stage is where creative direction happens.

Veo 3 → Video

Veo 3 generates the visual content from refined prompts. The prompt engineering from the Gemini stage is critical — vague prompts produce generic video. Specific, brand-aligned prompts with clear shot descriptions, mood, and pacing produce footage that actually matches the brand identity.

Eleven Labs → Audio

Professional voiceover that matches each brand's tone. Ten brands means ten distinct voice profiles — different pacing, warmth, authority. Eleven Labs' voice synthesis gives each brand a consistent audio identity without hiring ten voice actors.

Human Direction

AI generates, humans direct. The pipeline doesn't run autonomously. Between each stage, I reviewed output, adjusted prompts, iterated on brand consistency, and made editorial decisions. The AI tools are the production team. The creative director is still a person.

10 brands, 13 ads, one pipeline

Each of the ten placeholder companies received complete brand identity treatment — not just a logo, but a positioning statement, visual language, and voice profile that informed every downstream creative decision. The thirteen advertisements span multiple formats and tones, demonstrating that the pipeline can produce varied output, not just repetitive variations of the same template.

The work was produced as design lead for the Tempest application, in collaboration with a development partner who built the application itself. The ads serve as the product's primary demo content — proof that the platform's advertising capabilities are backed by real, diverse creative work.

AI production scales when the pipeline is right

Anyone can prompt an AI tool and get a video. The difference is whether you can do it repeatably, across distinct brands, at consistent quality, with a documented process that someone else could follow. That's what separates a demo from a production system.

This project demonstrates the ability to architect a multi-model AI pipeline, maintain brand consistency across varied outputs, and deliver production-ready content without a traditional production budget. The pipeline produced 13 ads across 10 brands. It could produce 130.