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AI Just Gave Bombay Shaving Co. Its Smoothest Ad Yet

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AI Snack Pack
July 29, 2025

Welcome to the AI Snack Pack

đŸ€– Today's AI Buffet:

đŸ› ïž Swipe of the Day

đŸ˜± Micro-Lesson

đŸŽ© Trend to Watch

Swipe of the Day

đŸȘ’ Step 1: The Concept

What if a shaving ad didn’t show a single sink, razor, or foam?

I flipped the usual script —
Instead of the act of shaving, I focused on how smoothness gets noticed.
Lipstick marks. A crisp collar. That look in someone’s eyes.

It’s not about grooming — it’s about the after-effect.

đŸ€– Step 2: The Prompt (ChatGPT)

I asked ChatGPT to turn that idea into image prompts that feel flirty, premium, and editorial.
Here’s a simplified version:

"A photorealistic image of a man in a crisp white shirt with visible lipstick marks on the collar. A sleek Bombay Shaving Co. razor lies subtly on the table beside him. The lighting is warm and intimate, suggesting early morning or post-date. Minimal background, focus on shirt, skin, and mood."

Each frame had a similar vibe — subtle tension, strong styling, and a smooth presence.

Once you have the prompt - fire it away in ChatGPT to generate the image

Micro-Lesson

 Camera & Medium Filters đŸ“·đŸ–‹ïž

Goal: Recreate the tactile charm of physical media or the character of specific cameras—35 mm film grain, Polaroid wash, charcoal sketch, pixel art, and beyond.

Why Use Filters & Mediums?

  • Texture realism – Grain, paper fibre, or pixel grid sells authenticity.

  • Nostalgia trigger – Instant vintage vibe with film stocks.

  • Concept fit – Match medium to message (e.g., blueprint for tech schematics).

Medium / Camera Cheat‑Sheet

Aesthetic

Core Traits

Prompt Snippet

35 mm Film

Fine grain, light leaks, slight warm tint

“35 mm Kodak Portra film, subtle grain, golden highlights”

Polaroid

Instant film border, slight desaturation

“vintage Polaroid frame, soft pastel fade”

Charcoal Sketch

Rough strokes, powder smudge

“charcoal on textured paper, dramatic shading”

Watercolor

Soft bleeding edges, paper texture

“loose watercolor wash, wet‑on‑wet technique”

Pixel Art

Blocky 8‑bit pixels, limited palette

“isometric pixel style, 32‑colour NES palette”

Low‑Poly 3D

Faceted polygons, flat shading

“low‑poly diorama, pastel faces, sharp edges”

4‑Step Prompt Recipe

  1. Select Medium/Camera & Key Trait
    “Kodak Portra 400 35 mm, fine grain”

  2. Describe Subject & Scene
    “sunlit coastal road trip, vintage convertible”

  3. Add Framing & Composition
    “slightly off‑centre, candid snap”

  4. Layer Atmosphere or Texture Boosters
    “subtle light leak on left, matte photo print finish”

“Candid snapshot of friends laughing in a vintage convertible on a coastal highway, shot on Kodak Portra 400 35 mm film, fine grain, warm highlights, slight light leak on left edge”

Debugging Tips

  • Noise too strong? Dial back: “subtle grain,” “light texture overlay.”

  • Colours too vibrant for film? Add “slight desaturation,” “muted 1970s palette.”

  • Pixel art too detailed? Specify resolution: “32×32 pixels.”

Series recap: Blend historical art styles with authentic mediums—and layer them over colour, composition, and lighting for fully‑realised DALL‑E creations.

Trend to Watch

Prompting in JSON for Video Generation

Prompting is evolving — fast.
With tools like Veo 3, creators are moving from plain text to structured JSON-style prompts to generate videos.

Why it matters:

  • ✅ More control: You define each element — visuals, pacing, audio, even the timeline.

  • 🎬 Scene sequencing: Instead of a single clip, you now guide the entire flow — like a mini storyboard.

  • ✍ Better outputs: Structured prompts reduce ambiguity, giving the AI clearer instructions and resulting in cleaner, more cinematic results.

Think of it as screenwriting for AI — but in code.

JSON Prompt: "Arrival in Kyoto"

{
  "prompt_name": "Arrival in Kyoto",
  "base_style": "cinematic, poetic realism, warm tones",
  "aspect_ratio": "21:9",
  "city_description": "A peaceful Kyoto street at golden hour, lined with wooden houses and paper lanterns.",
  "camera_setup": "Slow dolly-in along the street, tracking a woman in a kimono from behind.",
  "key_elements": [
    "cherry blossom petals drifting through the air",
    "bamboo bicycle resting against a wooden gate",
    "Kamo River flowing softly nearby"
  ],
  "assembled_elements": [
    "traditional teahouse with noren curtains swaying",
    "red torii gate emerging at the far end of the street",
    "distant temple bell tower visible above the rooftops",
    "an elderly man sweeping the steps outside his home",
    "soft rays of sun streaking through the lanterns"
  ],
  "negative_prompts": [
    "no tourists",
    "no modern vehicles"
  ],
  "timeline": [
    {
      "sequence": 1,
      "timestamp": "00:00-00:02",
      "action": "Camera begins a gentle dolly forward. Petals fall across frame. The woman in kimono walks ahead.",
      "audio": "Soft wind and distant bell chime."
    },
    {
      "sequence": 2,
      "timestamp": "00:02-00:05",
      "action": "Camera passes a glowing lantern and bamboo bike. Teahouse curtains flutter as the sun warms the wood.",
      "audio": "Ambient street sounds — sandals tapping, birds."
    },
    {
      "sequence": 3,
      "timestamp": "00:05-00:08",
      "action": "The torii gate enters frame. The woman stops just before it. Light shifts golden. Fade to black.",
      "audio": "Final temple bell echo, fading out."
    }
  ]
}

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