Growth Agents
AI Emotional Video Agent
A lightweight recipe for turning wedding, proposal, and milestone story inputs into a sellable emotional video plan.
What this agent does
It turns story points, photos, and a target style into a scene script, a shot list, a generation prompt bank, and a quality checklist for a technical operator to execute in a video model like Higgsfield with Seedance 2.5.
Who it is for
Photographers, videographers, small agencies, and freelancers that want to add or productize an emotional AI video offer without hiring a production team.
Inputs
- Customer photos or short clips of the people in the video.
- Story points: how they met, important places, names, and a memorable line.
- Target emotion and visual style for the film.
- Model and plan tier the generator will run (affects scene count and budget).
Outputs
- Scene-by-scene script with setting, action, and focus.
- A shot list mapped to story anchors and budget.
- A generation prompt bank with consistent character and style tokens.
- A quality and handoff checklist for the operator and the customer.
Workflow logic
- Extract emotional anchors and verify them against the story with the client.
- Map each anchor to one scene that can be generated reliably in a short sequence.
- Draft scene prompts that keep the same face, wardrobe, and lighting language.
- Produce a quality checklist so weak scenes are regenerated before editing, not after.
Prompt template library
Scene brief: "Turn [story point] into a [style] scene for [names]. The camera focuses on [focus]. Keep the emotion at [emotion]: build up slowly, land the payoff."
Consistency hold: "Across every scene, keep [name] exactly the same: same face, same wardrobe, same lighting direction. Flag and regenerate anything that drifts."
Quality checklist
- Same face and appearance across all scenes.
- Details a customer will notice (hands, jewelry, wardrobe) are clean.
- Emotional pacing lands in the final third, not in the first ten seconds.
- Client-approved story beats match the delivered scenes one to one.
Failure fallback
If a scene cannot hold identity or keep clean detail, regenerate it in a lower-complexity shot before editing. If a model tier cannot do a desired scene at all, swap the scene for a safer static-to-motion shot and keep the story anchor. Never deliver a scene that visibly breaks the client's identity.
Manual version
Use a shared story worksheet, ChatGPT or Claude for scene drafting, and a tracked copy of the quality checklist. Run the recipe once per client before automating anything.
No-code automation version
Use Airtable or Google Sheets for story intake, Make or Zapier to route scenes into a prompt library, and a shared doc for the generator operator to mark scenes pass or regenerate.
Tools you can use
ChatGPT, Claude, Gemini, Higgsfield with Seedance 2.5, Runway, Airtable, Google Sheets, Notion, Make, Zapier, and your editing tool. Cross-site tool details live on aigc001.com, with the worked wedding video case study for reference.
Use this recipe inside a full emotional video service.
Pair it with the AI Emotional Video Workflow, then add pricing, delivery, and client templates from the AI Growth OS Starter Kit.