Ingests a public company list, scores every entry against one ICP, and outputs a ranked outbound queue. No manual triage. Click a row for the grounded rationale, signal, and recommended play.
ICP ▸ Seed / early-stage B2B companies deploying LLM agents to production. The buyer for an AI agent observability and evaluation platform.
CLAY ▸ The same ICP logic rebuilt no-code in Clay. Claygent research, an AI scoring column, formula-derived tiers, and a HubSpot write-back. Walkthrough below.
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N8N ▸ And a third time as a low-code n8n workflow. The same loop in code, no-code, and low-code. Claude scores each company, and a deterministic Switch node sets the tier (the 80/55 cutoffs are branches on the canvas, not model output). Run on the same 25 real companies.
FIG.1 · ICP scoring / rev.A. Real companies from the Y Combinator Spring 2026 batch (public directory). One-liners are the companies' own. Scores are model-generated against the stated ICP, on a sample run.