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Have an LLM sort every cold email reply by intent and act in under a minute
Picked and checked by Olga Pearson, SalesUpLevel
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Reported: 14 hours a week back, 0 missed "interested" replies since go-live, and meetings booked in under 60 seconds, for about $20 a month in API calls. It took 3 days to build.
Cephas Princely built an 8-node n8n workflow that reads every reply to their cold outbound. An LLM tags each one by intent. Interested replies get a booking reply in under 60 seconds, "not now" replies get a follow-up queued for 7 days later, and sensitive replies go to Slack for a person. He shared the workflow file on GitHub.
By Cephas Princely, Co-founder, Aurallon (GTM systems consultancy) · LinkedIn post ↗ · Jun 3, 2026
If you sell: sort replies before you answer them
- Send every reply from your outbound inboxes into one workflow (he used n8n).
- Have an LLM tag each reply: Interested, Not now, Not relevant or Sensitive.
- Interested: hold a calendar slot and send a booking reply right away.
- Not now: queue a follow-up for 7 days later.
- Not relevant: log it and skip.
- Sensitive (angry, legal, procurement, high-stakes account): post it to Slack so a person answers.
You sort replies to our cold emails. Read the reply below and return JSON only: {"label": one of "interested", "not_now", "not_relevant", "sensitive", "reason": one short line}.
Use "sensitive" for anger, legal or procurement questions, unsubscribe threats, or anything that needs a person. If you are not sure, use "sensitive".
Reply: [paste reply text]If you lead a team: roll it out
- Run it in tag-only mode for a week and check the labels against what reps would do.
- Keep a person on every sensitive reply and every top account.
Watch out for
- He says it can't read tone on angry replies or handle legal or procurement questions, so route those to a person.
- The workflow file is in his GitHub repo (github.com/Cephas-05/AI-Reply-Handler-SDR-Replacement-v2). Test it on old replies before you let it send.
- Results are his own team's numbers on their outbound volume.
Source: Cephas Princely, LinkedIn post, Jun 3, 2026. Results are as reported by the source; we did not measure them.
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