How Airpost Works

The Performance Creative Loop

Every ad we make teaches the next one. Our AI engine and expert strategists work in a continuous loop — analyzing, generating, testing, and learning.

1. Analyze Your Assets

Our engine ingests your brand kit, product pages, and past ads. It breaks every asset down shot-by-shot — detecting faces, products, text, pacing, and visual style to build a complete creative fingerprint.

  • Brand Kit
  • Shot Segmentation
  • Visual DNA
  • Past Ads
  • Face & Product ID
  • Text Extraction

2. Classify with Taxonomy

Every asset is tagged across 9 creative dimensions. This maps the full creative landscape so the engine knows what's been tried and what's wide open.

  • ICP
  • Angle
  • Tactic
  • Format
  • Tone
  • Pace
  • Narration
  • Structure
  • Funnel Stage

3. Generate at Scale

The engine writes dozens of scripts per cycle, scored against a curated Golden Set of top-performing references. Multiple AI models compete — only the best concepts survive.

  • 5-50 New ad concepts per week
  • Past Ads
  • Face & Product ID
  • Text Extraction

4. Validate with Experts

Human strategists review every concept before it ships. They correct, refine, and explain why — and those corrections retrain the engine. The AI gets sharper with each cycle.

  • AI generates. Human validate.
  • Corrections become training data.

5. Launch & Learn

Ads ship to Meta, Instagram, TikTok, YouTube, and Snapchat. Performance data flows back into the taxonomy — every impression, click, and conversion teaches the engine what works.

  • Performance data feeds back into the loop

6. Map White Space

The taxonomy reveals which creative combinations haven't been tested yet. Instead of guessing what to try next, the engine identifies gaps and fills them systematically.

  • Tested
  • White space
  • Creative Coverage

The Compound Effect

Every Ad Makes the Next One Better

Volume creates data. Data creates speed. Speed compounds learning.

  • Analyze
  • Classify
  • Generate
  • Validate
  • Launch
  • Learn

Brand Maturity

Less Human Input Over Time

As the engine learns your brand, human oversight scales down and creative quality scales up.

  • Month 1: Onboarding — Engine learns your brand. High human review.
  • Month 2-3: Calibrating — Taxonomy fills in. Corrections decrease.
  • Month 4-6: Accelerating — Engine suggests concepts autonomously.
  • Month 6+: Compounding — Minimal oversight. Maximum output.

See the Loop in Action

A new kind of hybrid creative platform: not AI, not humans - the best of both.

See a Demo