A: Yes — Logic Sheet can be used as a webhook receiver and webhook sender, and you can absolutely build workflows like the one you described (receive → analyze with AI → route → respond).

How this would work in practice

1) Receive the inbound webhook (your email reply payload)

Your outreach tool sends a webhook to Logic Sheet.

Logic Sheet stores the incoming data into a Google Sheet row (e.g., sender, message body, timestamps, campaign ID, etc.).

2) Run AI steps on the message
From there, you can apply multiple AI actions, for example:

Sentiment detection (positive / neutral / negative)

Intent classification (interested / not interested / asking questions / objection)

Entity extraction (name, company, role, phone, key details)

Suggested next action (follow up, book a call, remove from sequence, escalate)

3) Send structured data out to your CRM

Logic Sheet can send a webhook to another system (CRM, automation platform, etc.) with:

the contact fields

the AI output (sentiment/intent)

tags/status updates

4) Generate a personalized reply draft

Logic Sheet can generate a suggested response using GPT (based on your tone, offer, and rules).

You can then either:

send it out automatically via a connected email tool / webhook endpoint, or

keep it as a draft for review (recommended for cold outreach to avoid mistakes).

Best practice recommendation

For compliance and quality control, many teams start with:
✅ automated classification + CRM update
✅ AI-generated reply as a draft
…and only later move to full automation once they trust the workflow.

Summary

✅ Receive inbound webhooks
✅ Write incoming payload into Sheets
✅ Run multiple AI steps (sentiment, intent, extraction, response drafting)
✅ Send outbound webhook(s) to CRM / other tools
✅ Optionally trigger sending the reply (or keep it for review)

If you share which outreach tool + CRM you’re using, I can outline the cleanest integration pattern.