Safety & guardrails

Built to keep the AI on-script

The reason you can actually trust it to send on your behalf.

Overview

Letting an AI send email in your name is only reasonable if there are guardrails. So ReplyOP checks every outgoing reply — even the ones you wrote yourself — against your rules before it can leave the building.

On top of that, a deterministic, injection-resistant confidence check isn’t swayed by instructions hidden inside an incoming message, and replies are grounded to evidence in the actual thread. It’s the layer that makes letting it send a reasonable decision — though, as our AI Disclosure spells out, no AI is perfect, which is why review and guardrails are built in.

What you get

01

A safety check before every send

Each reply is scanned against your guardrails — even ones you wrote yourself — before it can go out.

02

Custom guardrails

Tell it the things it should never say or promise. It flags anything that crosses the line for your review.

03

Injection-resistant confidence scoring

A deterministic check designed to resist manipulation from a malicious message hidden inside an email or a DM.

04

Citation grounding

Replies are tied to evidence in the actual thread, to cut down on hallucinated prices, dates, or details.

05

Voice-profile sanitizer

Strips prompt-injection attempts out of your training samples, to stop a poisoned writing sample from hijacking your AI.

06

Your data stays yours

We never sell it, never train shared AI on it, and you can disconnect every account in one click.

How it works

From a new message to a sent reply.

  1. 01

    You set the guardrails

    Tell ReplyOP the things it should never say, promise, or quote. It’s your policy, in plain language.

  2. 02

    Every draft is scanned

    Before any reply goes out — auto-sent or hand-written — it’s checked against those guardrails and held for review if it crosses a line.

  3. 03

    Injection-resistant confidence check

    A deterministic scorer designed to resist prompt-injection hidden in an inbound message decides what’s safe to auto-send — rather than trusting text the sender controls.

  4. 04

    Grounded to the thread

    Replies are tied to evidence in the conversation, and a voice-profile sanitizer strips injection attempts out of your training samples too.

Who it’s for

Built for the people who live in their inbox.

Regulated or high-stakes communication that must stay on-policy

Brand-sensitive teams who can’t risk an off-tone reply

Anyone enabling auto-send who wants a real safety net

Businesses worried about prompt-injection from inbound mail

FAQ

Questions, answered.

Can a malicious email trick the AI?

That’s the exact risk the injection-resistant confidence check is built for: the scorer that decides what auto-sends is deterministic rather than driven by the message text, so instructions hidden in an inbound message are designed not to push a risky reply past your guardrails. Anything that doesn’t clear the bar falls back to your approval.

Does it check my own drafts too?

Yes. The guardrail scan runs on replies you write by hand as an advisory, not just AI-generated ones.

Can I stop it from promising something it shouldn’t?

Yes — that’s what custom guardrails are for. Tell it what it must never say, quote, or promise, and any draft that crosses the line is held for your review instead of sent.

Do I have to let it send on its own?

No. Keep it in draft-only mode and approve every reply, or raise the confidence bar so it only auto-sends the ones it’s sure about. The guardrail scan runs either way.

What about my data?

We don’t sell it and we don’t train shared AI models on it. Credentials are encrypted at rest, and you can disconnect any account in one click. See our Privacy Policy and AI Disclosure for the full detail.

Let it send, with a safety net

Reply first. Win the customer.

Start the email tool free for 7 days — no card, set up in minutes. Add managed Instagram DM automation anytime by talking to our team.