Six parallel calls fan across US macro-regions — Northeast, Mid-Atlantic, Southeast, Midwest, South & Plains, West — each anchored on specific metros. Web-searches company lists, hiring signals, and industry roundups. Returns raw candidates.
I use AI agents every day to help run my business — from prospect research to outreach to content and SEO.
Five agents working in production — four form a nightly prospect pipeline (search, filter, research, outreach), plus an independent content agent that ships a nightly post and audits SEO monthly. The numbers below are live from the production database.
Six parallel calls fan across US macro-regions — Northeast, Mid-Atlantic, Southeast, Midwest, South & Plains, West — each anchored on specific metros. Web-searches company lists, hiring signals, and industry roundups. Returns raw candidates.
One call ranks the merged Search output against the targeting profile. No web search — pure judgment on the evidence already gathered. Returns the top 5 as a shortlist for deep research.
Deep-dives each shortlist item — scrapes the homepage, cross-checks LinkedIn and news, walks their About / Careers / Customers pages. Produces a structured evaluation with a fit score and 4–8 cited sources. Only candidates that clear the fit threshold become prospects.
For every accepted prospect and each contact, drafts a personalized multi-touch email sequence grounded in the outreach_email skill and the client's own knowledge-base chunks. Human approves before send.
Runs independently of the prospect pipeline. Nightly: pick a topic, draft blog / social / video in parallel, then a marketing-editor review loop with up to three revisions. Auto-publishes the blog post and stashes social + video for review. Monthly: an SEO agent audits the marketing site — score, strengths, prioritized issues, keyword opportunities — and delivers a structured report to /admin/content.