Everyone is obsessed with LLMs writing their emails.
But an AI-generated masterpiece does not matter if it lands in spam. The difference between a cool automation and a functional revenue system is data hygiene.
To show what this looks like, here is an example of something I built:
- Ingest & Dedupe: When a new prospect enters the system, it immediately dedupes them. You never want two automated agents hitting the exact same person.
- Signal Verification: The system double-checks the buying signal against the prospect's public footprint. If the AI hallucinated the data, the lead is killed.
- The Provider Waterfall: No single data vendor has 100% coverage. The system pings Apollo first. If that fails, it runs a fallback search to maximize the match rate.
- The SMTP Gate: Every email hits ZeroBounce before routing. Valid emails proceed. Catch-alls are flagged for manual review. Invalid emails hit a dead end.
The output is a clean list of verified prospects ready for the sequencer.
Engineers focus on generating the text. Operators focus on making sure the text actually lands in the primary inbox. A good GTM system builds for both.