Built a robust outreach agent. Grab the sauce
Last month I pivoted to code-based agentic workflows. Built a full outreach engine â complex logic, multiple data sources, a ton of edge cases. Where n8n took months to finish and iterate (ofc it was the first shot). Recently pivoted fully customizable, robust, python based agentic system. Worked âgood enoughâ on first run. A week of tightening. Then parity with the old system â and more flexible. No magic. Just speed. Phase 1 â Manual: lists, research, inbox tab juggling. A single SDR burning 20+ hours/week doing robot work. High cost. Zero leverage. Phase 2 â AI-assisted (2023 â early 2025): AI was a fast but flaky junior. You still needed humans to chain, correct, and babysit workflows. Phase 3 â Agentic AI (now â next 10 months): AI that plans, reasons, self-corrects, and chains multi-step processes end-to-end. It can even improve its own patterns over iterations. The progress is compounding, not linear. Real effects Iâm seeing now: 20â40 hour projects reduced to 2-hour builds Multiple tools replaced by a single agentic pipeline Teams scaling output without scaling headcount Yes, AI still fails sometimes. But the real risk is letting months of progress sit idle while you debate âis it ready?â Practical wins, not hype: Sales: prospect research, personalized outreach, follow-ups â running while you sleep Ops: data entry, QA, automations â removing daily drag Support: routing, triage, answers to common questions â humans handle real problems Analysis: synthesis, forecasting, pattern recognition â turning noise into decisions Applying AI isnât magic and itâs not âreplace your team.â Itâs amplify your team â push their limits and remove boring work. If youâre still treating AI as a curiosity instead of an operator, youâre choosing to fall behind.