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AI engineering
AI engineeringShipped2026
AI Lead-Generation Pipeline
LLMsWeb ResearchAutomationSales Tooling
Built with
PythonClaude APIWeb SearchCRM Integration
Outbound research is slow and repetitive. I built this pipeline to automate the parts that do not need a person, feeding the Shadow AI assessment service I helped design at Ace-nsi.
Given a target company, it runs structured research with the Claude API and live web search to gauge how exposed the business is to uncontrolled AI use, finds the relevant decision-makers, and drafts a personalised outreach sequence in the right voice. The output exports cleanly into the tools the sales motion already runs on.
It is built defensively: caching and cost guards so a large run never becomes an expensive surprise, and a staged architecture so each step can be inspected and corrected on its own.