Season 2 · Episode 1765
The Agentic Internet: A Clean Web for Machines
We explore the tools building a parallel, machine-readable web—from SearXNG to Tavily.
My Weird Prompts · Daniel Rosehill
March 29, 202636m 6s
Audio is streamed directly from the publisher (dts.podtrac.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
In 2026, the bottleneck for AI agents isn't reasoning—it's grounding. This episode dives into the modern search and grounding stack, comparing open-source solutions like SearXNG with commercial APIs like Tavily and Firecrawl. We discuss how these tools create a "parallel internet" for machines, filtering out human noise to deliver clean, structured data for LLMs. Learn about the trade-offs between control and convenience, and how to choose the right architecture for your agent's needs.