You write the broadcast. Before it sends, the AI reads the message and tells you what it’s about to cost you. A predicted opt-out rate against your baseline, a predicted delivery rate, and a verdict, clean, watch, or high risk, in a color you can read from across the room.
Every texting tool grades you after the send. The opt-outs hit, the number drops, and the dashboard tells you what you already lost. The damage is done by the time you see it.
The prediction runs against your own numbers, not an industry average. Your baseline opt-out rate, your delivery history, this message.
A number alone is a shrug. When the read comes back ugly, Pre-flight points at the exact line doing the damage and hands you a fix.
A prediction, not a gate. You rewrite, you run it again, the number drops. And a single text still hasn’t gone out.
The mistake gets caught when it’s a draft on your screen, not a send in the wild. Every other tool tells you what you already lost.
Not a score and a shrug. The exact sentence doing the damage, flagged, with the rewrite that fixes it sitting right below.
A bad send bleeds the sender reputation carriers grade you on, and once it drops you’re digging out for weeks. Fix it here and it never touches your score.
The panel says it plain and the decision stays yours. Some sends are worth a hot line. Now you make that call knowing the price.
Pre-flight runs on the live model today and reads a seeded baseline in this build. Live, the baseline is your own rolling opt-out rate, and the prediction trains on your real send history, so the read gets sharper every broadcast.
Left or right, Txtra is the sender your carriers trust and your lawyers approve.
An AI read of your broadcast before it sends. A predicted opt-out rate against your baseline, a predicted delivery rate, and a verdict of clean, watch, or high risk. When the read comes back ugly, it names the exact line doing the damage and hands you a fix.
No. It's a prediction, not a gate. The panel tells you what the send is likely to cost and the decision stays yours. The compliance gate still runs on every send the way it always does.
The live model runs today and reads a seeded baseline in this build. Live, the baseline is your own rolling opt-out rate and the prediction trains on your real send history, so the read gets sharper every broadcast.