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Ad Flow

AdFlow is a node-based visual ad builder inside Creatify.

🔥 What “Ad Flow” (AdFlow) actually is

Think of it like:

  • Not a “click → generate ad” tool

  • But a full pipeline editor where you build ads step-by-step

👉 Officially, it’s described as a “node-based visual pipeline editor” where each part of an ad (image, script, voiceover, etc.) is a modular node you connect together.

⚙️ Key features (explained simply)

1. 🧩 Node-based workflow (the backbone)

  • Every element = a node (image, script, voice, CTA, etc.)

  • Fully visual canvas

  • You can see the entire ad pipeline at once

👉 Why it matters:

  • No more guessing “how was this ad made?”

  • Everything is transparent and editable


2. 🔁 Modular editing (edit one thing only)

  • Change just the hook

  • Swap just the voice

  • Replace just the product

👉 The rest of the ad stays intact
👉 No need to regenerate everything

This removes the biggest pain in AI ad tools:
starting over every time


3. 🌿 Branching (mass variation testing)

You can:

  • Duplicate a workflow

  • Change 1 node per version

Example:

  • Version A → Hook 1

  • Version B → Hook 2

  • Version C → Hook 3

👉 Same base, multiple variants

This is built for performance marketing testing


4. ⚡ Faster iteration (up to ~2x generation speed)

  • Only changed nodes re-render

  • Not the whole video

👉 This makes scaling creatives much faster
👉 Especially useful for ads testing


5. 🎬 Built-in editor (no exporting)

  • Full ad created inside one canvas

  • No switching to Premiere, CapCut, etc.

👉 Old workflow:
Prompt → export → edit → re-export
👉 AdFlow:
Everything in one place


6. 🔄 Replayable workflows (huge for teams)

  • Every workflow is saved

  • Anyone can:

    • Open it

    • See every step

    • Reproduce it exactly

👉 This turns workflows into assets, not just outputs


7. 📊 Performance feedback loop

  • Connects to ad performance data

  • Shows which variant works

👉 Then you:

  • Go back to the workflow

  • Improve the winning structure

👉 This is where it becomes data-driven creative iteration


8. 🔧 Model swapping mid-workflow

You can:

  • Change image model

  • Change voice model

  • Change script style

👉 Without rebuilding the pipeline

Click here to watch a tutorial video:

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