Live mockup · Broken reply in, validated reply out
Fix brand-damaging AI support comments before they go live.
This demo shows how a public support team can stop placeholder leaks, improve tone, and publish cleaner LinkedIn replies with deterministic validation layered on top of AI generation.
Why this matters
What breaks trust
“Hey (Customer Name), I’m (Agent Name)...”
Template variables leak into a public post, so the brand looks careless and over-automated.
Template variables leak into a public post, so the brand looks careless and over-automated.
What gets published instead
“Hi Rohan, this isn’t the experience we want for you. I’m Aisha from Zepto Care, and I’d like to help.”
4
Validation layers
High
Brand risk without guardrails
Fallback
Safe publish mode
Generator inputs
Enter customer context, simulate the broken AI draft, and watch the validation engine correct it.
Public reply preview
The product treats AI output as a draft, not as a final post.
Z
Validation engine
Each rule is deterministic, so the system can explain exactly why a reply is blocked or approved.
Output router
If the reply fails validation, the system falls back to a safe customer-facing response.
System decision
Blocked: unresolved placeholder detected
The draft cannot be published as-is because it exposes internal template variables.
Final approved reply