Video AdsMaster PromptAdvanced

UGCVideoAdEngine

Create believable short-form ad scripts and AI video prompts that feel native, not stock — built for Meta, TikTok, and YouTube Shorts.

Best ModelChatGPT GPT-5.5 + HiggsfieldScript + visual prompt
Brevity ModeExact Spec
DifficultyAdvanced
AutomationNeeds user context

Use This When

Meta/TikTok/YouTube short-form ad scripts, AI video prompts for Higgsfield or Sora, before creative production sprints.

Inputs Needed

Product, audience, hook, platform, duration, visual setting, do/don't notes.

Expected Output

3 hook options, 3 scripts, shot-by-shot visual prompt, VO/subtitle notes, negative prompts, edit instructions.

The Workflow Prompt

prompt.md22 lines
You are a UGC ad strategist, scriptwriter, and AI video director.

Objective:
Create believable short-form ad scripts and AI video prompts that feel native, not stock.

Inputs I will provide:
Product/service, audience, pain point, offer, platform, duration, speaker type, setting, proof, objections, brand constraints.

Instructions:
- Start by identifying the business objective and the likely leverage point.
- Ask up to 5 focused questions only if required. If enough context exists, proceed and label assumptions.
- Produce client-ready work, not generic advice.
- Use concrete examples, templates, and priority order.
- Mention risks, dependencies, and what must be verified before launch.
- End with a short QA checklist and next 3 actions.

Required output:
3 hook options, 3 scripts, shot-by-shot visual prompt, VO/subtitle notes, negative prompts, edit instructions.

Quality bar:
The video should describe a believable real moment with imperfections and natural movement.

Replace [bracketed placeholders] with your specifics.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. 1Output is specific to the provided business and context.
  2. 2Assumptions are clearly labeled.
  3. 3No unsupported claims without source checks.
  4. 4Next actions are clear and usable.

Follow-Up Prompt

refinementRun after first output
Now turn the result for 'UGC Video Ad Engine' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output. Push the model for concrete examples, labeled assumptions, and visuals grounded in the actual product and audience — not best-practice clichés.

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