Templates · prompts · AI agents

Video Template
Packs

Reusable prompt and shot-pattern templates for AI-video agents using Wouldliker Vlog, Product Reveal, and Presentation sound routes.

Agent API->Developers->OpenAPI->

Reusable prompt and shot-pattern templates for AI-video agents using Wouldliker Vlog, Product Reveal, and Presentation sound routes.

Quick Answer

Wouldliker video template packs are reusable prompt and shot-pattern recipes for AI-video agents. They sit on top of sound routes and sound_behavior.

They answer a practical question:

I know the route. What should the video look like?

The v1 template packs cover:

  • Vlog: fashion recaps, routines, food lifestyle, travel days.
  • Product Reveal: ecommerce reveals, sports card reveals, electronics feature reveals, food/package reveals.
  • Presentation: tutorials, food reviews, shopping reviews, app demos.

What One Template Contains

Each template includes:

  • template_id
  • route
  • sound_slug
  • duration_s
  • inputs
  • prompt_template
  • shot_pattern
  • caption_template
  • cover_frame_guidance
  • selection_keywords
  • sound_behavior_role
  • payoff_required

Example

{
  "template_id": "product_reveal_sports_card_30s",
  "route": "Product Reveal",
  "sound_slug": "product-reveal",
  "duration_s": 30,
  "inputs": ["card_name", "pack_name", "sport", "reaction_line"],
  "prompt_template": "Create a 30s TikTok sports trading card reveal...",
  "payoff_required": true
}

How Agents Use It

An agent can call /api/v1/clip-pack with a topic. Wouldliker returns the sound route and a matching template_pack.

The agent can then replace placeholders such as:

  • {brand_name}
  • {product_name}
  • {card_name}
  • {dish_name}
  • {feature_name}
  • {creator_name}

This makes the response useful for faceless video pipelines, n8n workflows, Make, Zapier, ComfyUI, Remotion, ffmpeg services, and AI creative agents.

Agent Prompt Pack

/api/v1/clip-pack also returns agent_prompt_pack. This is the stable prompt layer that a video agent or future LLM concierge can use directly.

It includes:

  • primary_prompt: a filled, tool-agnostic prompt for AI-video generation.
  • short_prompt: a compact prompt for workflow builders.
  • negative_prompt: boundaries to avoid fake claims, bad frames, and forced drops.
  • structured_prompt: duration, platform, sound role, first-second guidance, shot pattern, hooks, caption, and risk rationale.
  • missing_inputs: placeholders the caller did not provide, such as brand_name or product_name.
  • clarifying_questions: short questions an LLM can ask before finalizing the prompt.
  • llm_guardrails: rules for DeepSeek or another model so it does not invent rights, proof, or guaranteed results.

This means DeepSeek can later act as a conversational layer on top of Wouldliker data: ask what the user is making, call clip-pack, fill the prompt pack, and return a ready production plan.

Boundary

Template packs are not downloadable audio. They are planning and prompt assets.

The audio boundary remains:

TikTok-native route; confirm final sound availability and usage inside TikTok before posting. Not cleared for paid ads, brand/commercial use, or off-platform reuse unless rights are confirmed.

Machine-Readable Files