$ man claygent

GTM · Data Operations

Claygent

AI agent inside Clay that browses the web, reads pages, extracts data, and returns structured answers. Think of it as ChatGPT with a browser, running inside a Clay table column.


why it matters

Manual research doesn't scale. You can't visit 500 websites and summarize positioning by hand. Claygents do it for you. They read markdown, analyze content, extract signals, and output JSON. They're also expensive (credit cost) and unreliable (hallucination risk), so you validate everything.

how I use it

I use Claygents for LinkedIn post analysis (Play 10), competitive intelligence (Play 11), and full-site markdown research (Play 12). I don't use them for simple lookups — that's what enrichment providers are for. I use them when I need reasoning and extraction from unstructured content. I also run a 6-step validation system before I scale any Claygent column: test on 5 rows, check for hallucinations, enforce JSON schema, score confidence, cap credit spend.


related terms
ClayEnrichmentValidationResearch Prompt

go deeper
See the Clay Wiki →
GTM knowledge guideall terms →
ShawnOS.ai|theGTMOS.ai|theContentOS.ai
built with Next.js · Tailwind · Claude · Remotion