# Ai Ad Prompt Guide > | - **Type:** Skill - **Install:** `agentstack add skill-creatify-ai-ai-ad-prompt-guide-ai-ad-prompt-guide` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [creatify-ai](https://agentstack.voostack.com/s/creatify-ai) - **Installs:** 0 - **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [creatify-ai](https://github.com/creatify-ai) - **Source:** https://github.com/creatify-ai/ai-ad-prompt-guide ## Install ```sh agentstack add skill-creatify-ai-ai-ad-prompt-guide-ai-ad-prompt-guide ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # AI Ad Prompt Guide Universal prompting framework for AI video and image generation — works across all major models. --- ## Part 1: Universal Prompting Rules (Standalone) ### 1.1 The SLCT Framework Every effective AI generation prompt has four components. Use SLCT as a checklist: **S — Subject**: What is the main focus? **L — Lighting/Look**: What's the visual mood? **C — Camera**: What angle, movement, and framing? **T — Technical**: Resolution, aspect ratio, duration, style keywords? #### SLCT Examples **Product B-roll:** ``` S: A glass bottle of amber serum on a marble bathroom counter L: Soft golden morning light streaming from the left, creating gentle highlights on the glass C: Slow push-in from medium to close-up, shallow depth of field T: 4K, 5 seconds, photorealistic, product photography style ``` **UGC-style:** ``` S: A woman in her late 20s opening a package on her couch, looking excited L: Natural indoor lighting, warm tones, slightly imperfect like a phone camera C: Medium shot, handheld slight shake, selfie-style front camera angle T: 9:16 vertical, 5 seconds, realistic, casual home setting ``` **Cinematic hero shot:** ``` S: A sleek electric car driving along a coastal highway at sunset L: Dramatic golden hour, long shadows, warm highlights on the car body C: Low-angle tracking shot from the front quarter, smooth dolly movement T: 16:9, 8 seconds, cinematic, film grain, anamorphic lens flare ``` ### 1.2 Hallucination Prevention AI models hallucinate when prompts are ambiguous, contradictory, or physically impossible. These rules minimize bad outputs: #### The 5 Rules of Hallucination Prevention 1. **Be spatially explicit**: "A bottle on the LEFT side of a marble counter, a plant on the RIGHT" — not "a bottle near a plant on a counter" 2. **Limit entities**: Maximum 3 main subjects per scene. More = more chance of merging/distortion 3. **Avoid negatives**: Don't say "no people in the background" — instead describe what IS there: "empty cafe with wooden chairs" 4. **Use real-world references**: "lighting like a Vogue cover shoot" anchors the model better than "beautiful professional lighting" 5. **Specify quantities**: "Two coffee cups" not "coffee cups". "A single person" not "a person" (which might generate multiple) #### Common Hallucination Triggers & Fixes | Trigger | Problem | Fix | |---------|---------|-----| | "A person holding a product" | Distorted hands/fingers | "Close-up of product on table, hands NOT in frame" or use image-to-video with a real photo | | "Text on the product label" | Garbled text | Generate image without text, add text in post-production | | "Multiple people talking" | Face merging | One person per scene, composite in editing | | "Brand logo visible" | Distorted logo | Add logo as overlay in post, not in prompt | | "Complex physical interaction" | Physics breaks | Break into simpler shots, edit together | | "Specific celebrity resemblance" | Legal/ethical issues + poor results | Use descriptive attributes instead | ### 1.3 Camera Movement Vocabulary Use these precise terms — AI models understand film terminology better than casual descriptions. | Movement | Description | Best For | |----------|-------------|----------| | Push-in | Camera moves toward subject | Building tension, revealing detail | | Pull-back / Dolly out | Camera moves away from subject | Reveal shots, establishing context | | Tracking shot | Camera follows subject laterally | Movement, energy, following action | | Pan (left/right) | Camera rotates on axis | Scanning a scene, transitions | | Tilt (up/down) | Camera angles up or down on axis | Revealing height, drama | | Crane up / Crane down | Camera rises or descends vertically | Establishing shots, reveals | | Orbit / Arc | Camera circles the subject | 360 product views, drama | | Dolly zoom / Vertigo | Zoom + dolly create disorienting effect | Dramatic moments (use sparingly) | | Handheld / Steadicam | Slight natural movement | UGC feel, documentary style | | Static / Locked-off | No movement | Product shots, clean compositions | | Slow-motion | Reduced playback speed | Emphasizing action, luxury feel | | Timelapse | Sped-up footage | Process shots, before/after over time | #### Camera Angle Vocabulary | Angle | Effect | Use Case | |-------|--------|----------| | Eye-level | Neutral, relatable | Talking heads, product demos | | Low angle | Powerful, aspirational | Luxury products, hero shots | | High angle | Overview, diminishing | Establishing, flat-lay product | | Bird's eye / Top-down | Geometric, clean | Flat-lay, food, organized layouts | | Dutch angle | Tension, unease | Dramatic ads (rare, use carefully) | | Over-the-shoulder | Intimate, POV | UGC, unboxing, first-person | ### 1.4 UGC Prompt Formulas These templates generate authentic-feeling content that doesn't look "AI generated." #### Unboxing Formula ``` A [age] [gender] sitting [location], opening a [color] package. [Lighting]: Natural [time of day] light from a nearby window, warm tones. [Camera]: Medium close-up, slightly shaky handheld, phone camera quality. [Expression]: Genuine surprise and excitement. [Duration]: 5 seconds. [Style]: Realistic, casual, user-generated content aesthetic. ``` #### Product Review Formula ``` A [age] [gender] looking directly at camera, holding up a [product]. [Setting]: [Casual home location — kitchen, bathroom, living room]. [Lighting]: Natural indoor light, not studio-perfect. [Camera]: Front-facing selfie angle, slight phone tilt, 9:16 vertical. [Expression]: Enthusiastic, conversational, making eye contact. [Duration]: 5 seconds. [Style]: Authentic UGC, not polished commercial. ``` #### Lifestyle / Day-in-the-Life Formula ``` A [age] [gender] using [product] during their [morning/evening] routine. [Setting]: [Realistic home environment]. [Lighting]: Soft natural light, golden hour warmth through windows. [Camera]: Medium shot following the action, gentle handheld movement. [Action]: [Specific natural action — applying, pouring, wearing]. [Duration]: 5 seconds. [Style]: Lifestyle photography, editorial casual. ``` ### 1.5 Product Shot Techniques #### Hero Product Shot ``` A [product] centered on a [surface], [environment context]. [Lighting]: [Dramatic/soft/natural] studio lighting with [specific direction]. [Background]: [Clean/textured/contextual] — [specific description]. [Camera]: [Static macro / slow orbit / push-in] with shallow depth of field. [Props]: [1-2 complementary items that add context without competing]. [Duration]: 5 seconds. [Style]: High-end product photography, [brand mood — luxurious/minimal/vibrant]. ``` #### Before/After Product Shot ``` Split composition: LEFT side shows [before state], RIGHT side shows [after state]. [Transition]: Smooth wipe or morph from left to right over 3 seconds. [Lighting]: Even, clean lighting to show detail in both states. [Camera]: Static, locked-off shot. Centered framing. [Duration]: 5 seconds. [Style]: Clean, medical/scientific feel OR dramatic transformation. ``` ### 1.6 The Pass³ Quality Test Before using any AI-generated asset in an ad, run it through this 3-pass test: **Pass 1 — Physics Check (2 seconds)** - Do objects obey gravity? - Are reflections correct? - Do shadows match light sources? - Are proportions realistic? **Pass 2 — Detail Check (5 seconds)** - Hands: correct number of fingers, natural poses? - Text: readable or garbled? (If garbled, plan to overlay in post) - Faces: symmetrical, natural expressions? - Edges: clean boundaries between objects? **Pass 3 — Brand Check (3 seconds)** - Does the lighting match your brand mood? - Is the color palette on-brand? - Would this fit on your website/social feed without looking out of place? - Could a viewer tell this is AI? (For UGC, "slightly imperfect" is fine) **Decision:** If it fails any pass, regenerate with an adjusted prompt. Don't fix bad generations in post — it's faster to regenerate. --- ## Part 2: Model-Specific Guidance ### 2.1 Model Selection Decision Matrix | Use Case | Best Model | Why | |----------|-----------|-----| | Product B-roll (from image) | Kling 2.1 Master | Best motion quality from product photos | | Cinematic establishing shots | Veo 3.1 | Best cinematic quality and coherence | | Quick B-roll (budget) | Sora 2 (standard) | Good quality at lowest cost | | UGC-style content | Seedance v1 Pro | Natural human motion | | Text-heavy images | Nano Banana | Best text rendering in images | | Product photography | Nano Banana | Best product fidelity | | Image editing/compositing | Flux Pro Kontext | Best for editing existing images | | Long-form video (10s) | Wan 2.5 Preview (1080p) | Best quality/cost for longer clips | | Fast turnaround | Veo 3.1 Fast or Sora 2 standard | Fastest generation times | | Maximum quality (no budget limit) | Kling 2.1 Master or Veo 3.1 | Highest fidelity | ### 2.2 Model-Specific Prompting Tips #### Sora 2 - Excels at: Smooth camera movements, consistent lighting, coherent scenes - Struggles with: Fine text, complex multi-person interactions - Tip: Use descriptive scene-setting language. Sora responds well to cinematic terminology. - Duration options: 4s, 8s, 12s - Cost-effective for rapid iteration at standard quality #### Veo 3.1 - Excels at: Cinematic quality, coherent long sequences, good physics - Struggles with: Sometimes overly "cinematic" when you want casual - Tip: For UGC, explicitly state "phone camera quality, not cinematic" - Duration options: 4s, 6s, 8s - Best-in-class for hero content and brand videos #### Kling 2.1 Master - Excels at: Image-to-video with motion, product animations, face consistency - Struggles with: Can be slower, higher cost - Tip: Provide a high-quality reference image for best results. Use `cfg_scale` 0.3-0.5 for creative freedom, 0.7-0.9 for prompt adherence. - Duration options: 5s, 10s #### Nano Banana - Excels at: Text rendering in images, product photography, logo fidelity - Struggles with: Only generates images (not video) - Tip: Best for generating product shots that will be used as reference images for image-to-video models. - Use `nano-banana/edit` for image-to-image modifications #### Flux Pro - Excels at: Image editing, style transfer, multi-image compositing - Struggles with: Less creative freedom than pure generation models - Tip: Use `kontext/text-to-image` for generation, `kontext/max/multi` for editing existing images with new elements. #### Seedance v1 Pro - Excels at: Human motion, dance movements, natural body language - Struggles with: Non-human subjects - Tip: Best for UGC and avatar-style content where natural movement matters. - Duration options: 5s, 10s at 480p/720p/1080p --- ## Part 3: API Automation These models are available through a unified Asset Generator API, which provides a single endpoint for all models. ### 3.1 Asset Generator — Unified Access ```python import requests HEADERS = { "Content-Type": "application/json", "X-API-ID": "your-api-id", "X-API-KEY": "your-api-key", } BASE_URL = "https://api.creatify.ai/api" def get_model_schemas(model_name=None): """Discover available models and their input parameters.""" url = f"{BASE_URL}/asset_generator/schemas/" if model_name: url += f"?model_name={model_name}" resp = requests.get(url, headers=HEADERS) resp.raise_for_status() return resp.json() def generate_asset(model_name, input_params, webhook_url=None): """Generate an image or video using any available model.""" payload = { "model_name": model_name, "input_params": input_params, } if webhook_url: payload["webhook_url"] = webhook_url resp = requests.post(f"{BASE_URL}/asset_generator/", headers=HEADERS, json=payload) resp.raise_for_status() return resp.json() def check_generation_status(generation_id): """Check status of an asset generation job.""" resp = requests.get(f"{BASE_URL}/asset_generator/{generation_id}/", headers=HEADERS) resp.raise_for_status() return resp.json() ``` > **Don't have an API key yet?** No problem — grab one in under 2 minutes: > 1. Sign up free at [creatify.ai](https://creatify.ai) > 2. Go to [Settings → API](https://app.creatify.ai/settings/organization/api) > 3. Copy your API ID and API Key — that's it. New accounts get free credits to start. ### 3.2 Quick Examples #### Generate a product image (Nano Banana) ```python result = generate_asset( model_name="nano-banana", input_params={ "prompt": "A glass bottle of amber face serum on a white marble counter, soft studio lighting, product photography, clean background, 4K detail", } ) ``` #### Generate B-roll video (Sora 2) ```python result = generate_asset( model_name="sora-2/text-to-video", input_params={ "prompt": "Slow push-in on a coffee cup on a wooden table in a cozy cafe, morning sunlight streaming through the window, steam rising from the cup, shallow depth of field, cinematic", "duration": "4", } ) ``` #### Image-to-video product animation (Kling) ```python result = generate_asset( model_name="kling-video/v2.1/master/image-to-video", input_params={ "prompt": "Slow orbit around the product, dramatic lighting, product showcase", "image_url": "https://example.com/product-photo.jpg", "duration": "5", "aspect_ratio": "9:16", "cfg_scale": 0.5, } ) ``` ### 3.3 Credit Costs Reference | Model | Type | Cost | |-------|------|------| | Sora 2 (standard) | text/image-to-video | 8-24 credits (4-12s) | | Sora 2 (pro) | text/image-to-video | 24-120 credits (4-12s) | | Veo 3.1 | text-to-video | 32-64 credits (4-8s) | | Veo 3.1 Fast | text-to-video | 16-32 credits (4-8s) | | Kling 1.6 Pro | image/text-to-video | 12-24 credits (5-10s) | | Kling 2.1 Master | image/text-to-video | 40-80 credits (5-10s) | | Seedance v1 Pro | image/text-to-video | 8-32 credits (5-10s) | | Wan 2.5 | image/text-to-video | 8-32 credits (5-10s) | | Minimax Hailuo 02 | image/text-to-video | 12-24 credits (standard), 20 (pro) | | Nano Banana | text-to-image | 4 credits | | Flux Pro | text/image-to-image | 4 credits | | Seedream v4 | text/image-to-image | 4 credits | ### 3.4 Recipe: Image → Video B-Roll Pipeline Generate a product photo first, then animate it. ```python import time def image_to_video_broll(image_prompt, video_prompt, video_model="kling-video/v1.6/pro/image-to-video"): """Pipeline: generate image → animate into video B-roll.""" # Step 1: Generate product image image_job = generate_asset( model_name="nano-banana", input_params={"prompt": image_prompt} ) # Step 2: Poll for image while True: status = check_generation_status(image_job["id"]) if status["status"] == "done": image_url = status["assets"][0]["url"] break elif status["status"] in ("failed", "error"): raise Exception(f"Image gen failed: {status.get('failed_reason')}") time.sleep(5) # Step 3: Animate image into video video_job = generate_asset( model_name=video_model, input_params={ "prompt": video_prompt, "image_url": image_url, "duration": "5", "aspect_ratio": "9:16", } ) # Step 4: Poll for video while True: status = check_generation_status(video_job["id"]) if status["status"] == "done": return status["assets"][0]["url"] elif status["status"] in ("failed", "error"): raise Exception(f"Video gen failed: {status.get('failed_reason')}") time.sleep(10) ``` --- ## See Also - [video-ad-generator](https://github.com/Creatify-AI/video-ad-generator) — Product URL → video ad pipeline - [ai-avatar-video](https://github.com/Creatify-AI/ai-avatar-video) — AI talking-head videos with 1,500+ personas - [ad-creative-evaluator](https://github.com/Creatify-AI/ad-creative-evaluator) — … ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [creatify-ai](https://github.com/creatify-ai) - **Source:** [creatify-ai/ai-ad-prompt-guide](https://github.com/creatify-ai/ai-ad-prompt-guide) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** yes - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-creatify-ai-ai-ad-prompt-guide-ai-ad-prompt-guide - Seller: https://agentstack.voostack.com/s/creatify-ai - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. 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