A semi or fully-automated workflow that turns a creative brief or script into an emotionally driven, cinematic video. It orchestrates a series of AI tools for script generation, voiceover, image/scene creation, and final video assembly.
Emotionally driven brand videos have traditionally needed a scriptwriter, a voice artist, a shoot or stock footage library, and an editor. For a small marketing team that means each ad is a mini-project with quotes, bookings and revision rounds, so most businesses make one or two a year and then recycle them long after they have gone stale. Testing a new angle for a product launch or seasonal campaign rarely happens because the production overhead is the same whether the idea works or not.
Generative tools can now produce voiceovers, scene imagery and short moving clips, but using them one at a time creates a different mess. Someone copies a script from ChatGPT into ElevenLabs, downloads audio, writes prompts for each scene, waits for renders, then stitches everything together by hand in an editor. Files go missing, the visual style drifts between scenes, and nobody can repeat the result next month. The bottleneck shifts from production cost to manual coordination between tools.
A marketer submits a brief through a form or custom GPT: product, audience, emotional tone, call to action, runtime and any brand rules such as colours or banned phrases.
The language model drafts a scene-by-scene script with narration lines and a visual description for each shot, which a human approves or edits before anything is rendered.
An n8n or Make.com scenario sends the approved narration to ElevenLabs for a voiceover and sends each scene description to an image generator to create consistent keyframes.
Keyframes are passed to a video model such as Kling, Hailuo or Veo to animate short clips, and weak renders are flagged for regeneration rather than silently used.
An assembly step uses the CapCut API or a similar editor to cut clips to the voiceover, add music, captions and end card, then saves a draft for final sign-off.
A marketing team inputs a product theme into a custom GPT. The workflow then uses ElevenLabs for a dramatic voiceover, generates matching scenes with an AI image generator, creates video clips with Hailuo or Kling, and assembles them into a final ad-ready video.
ChatGPT (Custom GPTs), ElevenLabs, Hailuo/Kling/Veo, CapCut API, n8n/Make.com
Anything the video implies about the product must be accurate, because the Australian Consumer Law prohibits misleading or deceptive advertising, and a generated scene showing features or results the product does not deliver is still your claim. Copyright ownership of purely AI-generated footage is unsettled under the Copyright Act 1968, which generally protects works with human authorship, so keep records of human creative input and check each tool's commercial licence. Do not clone a real person's voice without their written consent. Meta, TikTok and YouTube have their own rules on labelling realistic AI-generated content, so check the current platform terms before running paid placements.
This solution requires careful evaluation of cost-benefit ratio. Consider implementation only after thorough analysis and risk assessment.
For short social ads, explainer teasers and concept tests it can cover most of the work. It is weaker for anything that must show your real product, staff or premises accurately, and for longer narrative pieces where continuity matters. Many teams use it to test angles cheaply and then commission a traditional shoot for the concept that performs.
Most of the time goes into tuning prompts and style references until scenes look consistent, connecting several APIs that each have their own quirks, and agreeing the approval steps. The first working pipeline often comes together quickly, but getting output your brand manager is comfortable publishing takes several rounds of iteration.
The main drivers are video generation credits, which rise with clip length, resolution and the number of retries, followed by voiceover characters and the automation platform plan. Longer ads and higher-quality video models cost more per output, so teams usually keep drafts short and render at full quality only after approval.
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