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Thinking traces
The agent traffic explosion, measured

The agent traffic explosion, measured

Bots became the majority of the web traffic Cloudflare measures, ahead of forecast. Projections for agent query volume run to 1000x. Here is what the data actually supports.

Skip Everling
Skip Everling
Jul 29, 2026
Proof
Code mode vs tool mode: the agentic retrieval harness matters

Code mode vs tool mode: the agentic retrieval harness matters

Same retriever and model, different harness: 65% higher recall, 51% fewer prompt tokens, 44% lower cost.

Jo Kristian Bergum
Jo Kristian Bergum
Jul 14, 2026
Thinking traces
Code mode for agentic retrieval

Code mode for agentic retrieval

Frontier models are strong at code, and code lets agents manage retrieval without filling context. The next step is programmable retrieval primitives, not just programmable query loops.

Jo Kristian Bergum
Skip Everling
Jo and Skip
Jun 18, 2026
Proof
Agent queries cost more to serve

Agent queries cost more to serve

A human types two words; an agent sends ten. That shift in query mix means 8.4x the cost to serve.

Jo Kristian Bergum
Jo Kristian Bergum
Jun 3, 2026
Relevance
This is what agentic retrieval looks like

This is what agentic retrieval looks like

GPT-5 searches like a power user. Phrase quotes in 98% of sessions. Median query length past the human 99th percentile (AOL query log). The new user of search.

Jo Kristian Bergum
Jo Kristian Bergum
May 20, 2026
Proof
What we learned building a 100M-document search engine, part 3: Hybrid search depends on query type

What we learned building a 100M-document search engine, part 3: Hybrid search depends on query type

Hybrid search does not have one best weight. Agentic, all-words-included, and human-style queries each stress retrieval differently, which means evaluation has to be stratified.

Elisabeth Koren Halvorsen
Janne Beate Bakeng
Elisabeth and Janne
May 13, 2026

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