The magnet and the spear: AI for client targeting
summary
Describes two operational models: The Spear scrapes public city permit data in four cities, uses LLMs (Gemini, Gro/Grock, Chacht), plus Python glue, to enrich records, populate Zoho CRM and flag who’s truly in charge (human review required; false positives include a $126M Blackstone hit). The Magnet filters ~300 event signups down to ~50 high-value prospects using the same LLM triage and nets an investor; both need light human intervention for setup and final validation.
AI-written summary · about
chapters (10)
- 0:00Welcome and introduction
- 0:35AI in sales: why it matters
- 1:20The Spear: targeting perfect customers
- 2:45CRM optimisation using AI
- 4:10Case study: Nailed It and city project leads
- 6:00Lessons learned and human intervention
- 7:15The Magnet: attracting high-value clients to events
- 8:50Real-world example: Singapore F1 / Token 2049 party
- 9:50Closing thoughts and actionable advice
- 10:43End
related talks
21mBuilding AI that Searches and Sells
34mBeyond Manual Hunting: OSINT Copilot with LLMs & Evidence-Based Collection, Enrichment ...
07mInterview with – Arthur Jansen
52mSerg Masís | AI Track | Compass AI & Data Summit 2025
20mThe Compounding Agentic GTM System | AI-Powered Go-to-Market
27mDisrupting Lead Generation through Artificial Intelligence
53mAgents, Tools, and Mcp, Oh My! Next Level AI Concepts for Developers
16mYour Agent's Biggest Lie: "I Searched the Web"
