Everett Nadkarni

Being cited in an AI Overview now matters more than ranking position.

Treat AI training crawlers differently from search crawlers in your robots.txt configuration.

MCP retrieves live data; RAG searches static indexes built in advance.

Reshape tool APIs for agents, not humans, to reduce failures.

Four tiers of action gates keep research agents fast while catching mistakes before they spread.

Machines need structured data to reason reliably on web text without silent failures.

Define your fields before you scrape, or spend months untangling the mess later.

Web data breaks traditional ETL; here's how to rebuild it.

LLMs trade rule-based precision for flexibility on messy documents.

Knowledge graphs are becoming essential infrastructure for AI pipelines processing web data.

How to anchor CSS selectors to signals that survive site redesigns.

Crawlers waste resources fetching duplicate pages across multiple layers.