I’ve been seeing a lot of posts online lately about migrating from Clay to Claude Code DIY to save on API credits. To clear the air: Clay is fantastic for known paths and enrichment waterfalls. Claude Code is an incredible workshop for building systems. But neither actually solves the late-night VA work of getting multi-path judgment signals on a list. If you run a basic Claude script over a CSV, it usually hallucinates or breaks by row 14 when the research path differs for that specific company. I got tired of being the researcher between tabs, so I built a PoC that treats signal research as a finished deliverable, not a workflow you have to build. loom.com/share/666bb8b0f27e4a4eb20c3f3732d67473 The Loom shows a playground run on a single account, but the backend uses parallel Lambda workers so you can run 1,000s concurrently. Every company gets its own independent research pass. Instead of silent fake signals, it outputs a defendable “evidence cell” (value, source URL, snippet, and confidence score). If the truth is thin, the cell stays empty. For the outbound operators here: would having a system that forces this kind of evidence-grade cell solve the maintenance tax of DIY agents for you?
