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@multisynt Thanks Multisyn Tech - Definitely try the service on your next video ad campaign and let me know your feedback!
I built AdFlame because video ad testing usually happens with live wasted budget.
You upload an ad (up to 60s); an AI model watches it and returns per-second retention and attention readings for several simulated audience panels, plus text-position checks against each platform's real UI overlays (TikTok, Reels, Shorts, YouTube).
Some decisions that might interest people here: retention curves are built only from the model's own readings (never benchmark templates) and are forced to be non-increasing; the safe-zone check is geometric, using measured text boxes against documented UI rectangles, not the model's opinion; and re-running an unchanged ad is kept consistent so scores don't wander.
It's a simulation, not a replacement for a live test. I'm most interested in where people think pre-testing breaks down.
There's a free trial if you want to try one of your own ads!
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@yupuwang Thank Yupu - saves testing with live ad spend by knowing which areas of the video ad need fixing, resulting in improved CTR and ROAS! Try and let me know your thoughts.