Black Box vs Glass Box
Many AI analysis tools are black boxes. You upload an image and get a confident sounding verdict,
but you cannot see the rules underneath it. Ad Corrector is a Glass Box. We use measurable signals and fixed logic that stays consistent.
| Feature | Black Box Typical AI Opinion Tool | Glass Box Ad Corrector |
| Core engine | Probabilistic model output | Deterministic measurements and rules |
| Output | Generated commentary that can vary | Scores, signals, and fixed guidance |
| Consistency | Can shift between runs | Same input produces the same results |
| Risk | Confident sounding uncertainty | Limits are explicit and measurable |
| Goal | Pleasing feedback | Truthful constraints for visibility |
Step 1 Ad Corrector
Step 1 measures visibility risk using deterministic signals. We measure what will be harder to see, read, or process fast.
1) Speed View
A motion-visibility simulation built for fast scanning. It uses viewing inputs (mph and distance) to show what details survive when the viewer has seconds.
2) Attention map
An attention proxy that highlights where structure and contrast concentrate first. It helps reveal when your headline is not visually dominant.
3) Contrast and clarity signals
Contrast is estimated using luminance sampling. Clarity combines edge strength and viewing constraints to identify readability risk.
Important: These are engineering checks designed for speed and distance reality.
They are repeatable and they do not change based on mood, prompting, or interpretation.
You can evaluate your creative against these visibility signals by running a free billboard test with Ad Corrector.
Step 2 Persuasion Engine
Step 2 translates Step 1 visibility signals into a first-impression response score.
It shows how viewers will feel in the first 1 to 2 seconds based on what the creative communicates immediately.
How it works
- Consumes Step 1 scores and signals like clarity, contrast, composition, color impact, and CTA strength.
- Applies fixed weights to compute five fast-response metrics (0 to 10).
- Outputs a composite persuasion score (0 to 100) and practical fix-first guidance.
Deterministic again: same Step 1 inputs produce the same Step 2 results. This is a scoring and translation layer.