Tavily

Can SearXNG, Crawl4AI, and an open-source aggregator really replace a commercial search API? Yes — with a very large asterisk.

Most agent search runs add no new evidence — and 66-85% of the context window is just search snippets. Here's what actually stops the loop.

When does an AI gateway's overhead justify its features? We break down the tradeoffs.

From prompt to published episode — a full walkthrough of the automated production system running 15 shows weekly.

Why swapping Google for Exa transformed our show's accuracy — and what agentic search does differently.

A deep dive into the batteries-included agent harness with terminal CLI, sub-agents, and production-ready evaluation.

SearXNG isn't a crawler — it's a metasearch router. Here's how it works and why AI agents change everything.

Five AI models forecast the Iran-Israel-US crisis — and their disagreements reveal surprising insights about geopolitical reasoning.

When you tweak one part of a complex AI agent system, how do you know if it actually improved anything? The answer lies in engineering checkpoints.

When a conflict changes hourly, AI systems built for yesterday's information fail. Here's how to architect pipelines that actually keep up.

How do you rigorously evaluate whether Tavily or Exa retrieves better results for breaking news? A formal benchmark beats the vibe check.

A two-stage AI pipeline predicted a 4% chance the Iran-Israel ceasefire would survive a month, using Monte Carlo simulations and an LLM council.

Why do AI war games need a news blackout? We dissect the firewall that keeps LLM actors from cheating with real-world data.

Stop hoping your AI doesn't lie. We explore the shift to deterministic guardrails, specialized judge models, and the tools making agents reliable.

We explore the tools building a parallel, machine-readable web—from SearXNG to Tavily.

See how a visual, node-based tool lets you build complex AI agent workflows without writing code.

Native search grounding is expensive and flaky. Here’s why bolt-on tools still win for accurate, real-time AI answers.

We explore a new approach: micro-training updates every few days to keep AI knowledge fresh without constant web searches.

Explore how AI is moving from static models to real-time data and whether specialized search tools can survive the rise of the tech giants.

Daniel Rosehill explains the origins, motivation, and technical pipeline behind the My Weird Prompts AI-generated podcast.