Built a robust outbound system
Built a full agentic outreach engine — complex logic, multiple data sources, edge-case handling.
My n8n version took months.
Rebuilt it in Antigravity:
47 minutes to a working system, a week to harden it, same-or-better results.
No hype.
Just reality-shifted execution.
pain → outcome:
Pain: SDRs wasting 10–20 hours/week on copy-paste, bad signals, and manual personalization.
Fix: Replace repetitive operator work with an agentic workflow that plans, reasons, and self-corrects.
Outcome: Projects that were 20–40 hours become 2 hours. Multiple tools collapse into one system. More output, same headcount.
How the change actually shows up (practical bullets):
More calls: personalization at scale (real context, not templates) → reply and booking lift.
Less ops drag: data entry, enrichment, routing automated — ops time cut dramatically.
Fewer tools: one agentic system chains research → outreach → follow-up → triage.
Resilience: system can self-correct and improve iterations without you babysitting each run.
Reality check (be brutally honest):
AI isn’t perfect. It still makes mistakes. But the speed of iteration now means you fix errors fast and gain leverage far quicker than you did last year.
Ignoring AI isn’t neutral — it’s falling behind. The winners will be teams that treat AI like an operator, not an assistant.
Quick blueprint (what to build first):
Signal layer — scrape hiring, posts, fundraising, product updates. If they signal, they’re worth outreach.
Context layer — pull recent content (LinkedIn posts, blog, news) and compress to a 1-line icebreaker.
Agent logic — rules for sequencing channels, cadence, and self-correction on failures.
Quality layer — automated checks: validate emails, detect tone problems, flag risky sends.
Measurement — bookings, replies, time saved per SDR. Optimize for bookings and pipeline, not opens.
Agency owner:
stop wasting 2 hours/day per rep on research. That can become 10× more leads qualified without hiring.
Founder/solo operator:
Replace 5 separate tools with a single agentic flow — free time to close.
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Diptamoy Barman
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Built a robust outbound system
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