Postscript added feedback controls on every AI-generated message.

Postscript added thumbs-down feedback, reason selection, and extra context fields across AI-generated messages in Infinity Testing, Automations, and Shopper. Source: Postscript, “What’s New in Postscript: May 2026 Product Updates” (published May 29, 2026).

What happened: Postscript turned model correction into a native product workflow. Brands can now reject a bad AI output, explain what was wrong, and route that feedback back to the relevant configuration surface instead of treating message quality as an opaque black box.

Why it matters

This is a real competitor move toward operational trust. AI messaging products stop feeling fragile when merchants can correct bad outputs quickly, categorize failure modes, and tighten brand controls without filing a support ticket or rebuilding prompts from scratch.

Tailored implication

TailoredTexting should capture structured correction signals on revenue-critical replies: wrong offer, wrong tone, wrong product, wrong escalation choice, or unnecessary discounting.
Those corrections should update reusable objection playbooks and merchant-specific boundaries, not die inside one conversation review.
Position Tailored as the system that learns from conversion mistakes fast enough to protect the next buyer interaction, not just the analytics dashboard.

Bottom line

Postscript is making AI quality control more native. TailoredTexting should answer with correction memory tied directly to conversion outcomes, so every bad reply becomes a sharper future save.