Uploaded February 2026 | Updated September 2026, 2 weeks ago
#ThisWeekinNET — Episode 119
In this episode, host João Tomé is joined by Celso Martinho, VP of Engineering at Cloudflare, to discuss two major launches: Markdown for Agents and Moltworker (for OpenClaw) — and what they signal about the future of AI agents on the Internet.
Celso explains how Markdown for Agents was conceived, built, and shipped in just one week, why AI systems prefer markdown over HTML, and how converting a typical blog post from 16,000 HTML tokens to roughly 3,000 markdown tokens can reduce cost, improve speed, and increase accuracy for AI models. We also explore Moltworker, a proof-of-concept showing how a personal AI agent originally designed to run on a Mac Mini can instead run on Cloudflare’s global network using Workers, R2, Browser Rendering, AI Gateway, and Zero Trust.
We discuss observability for AI crawlers, new monetization models for publishers, the rapid growth of agent ecosystems, and why AI is becoming less hype and more infrastructure.
Check the Cloudflare Blog: blog.cloudflare.com
🎧 Subscribe to the podcast for weekly conversations about the Internet and Cloudflare: ThisWeekinNET.com
⸻
⏱️ Timestamps
1:15 — Introducing Markdown for Agents
1:46 — From idea to ship in one week
2:37 — Why AI systems prefer markdown over HTML
3:30 — HTML “packaging” vs semantic content
4:39 — How Cloudflare converts HTML to markdown in real time
5:19 — Token savings: 16,000 vs 3,000 tokens
6:29 — Context windows, cost, and AI efficiency
8:21 — Tracking markdown trends in Cloudflare Radar
9:05 — Live demo: content negotiation header with curl
11:07 — AI projects in Lisbon: AI Search, PaperCrawl, and more
12:36 — Observability and new monetization models for publishers
13:56 — What is OpenClaw and why it went viral
14:54 — From Hacker News to Cloudflare in hours
17:06 — Running OpenClaw on Cloudflare instead of a Mac Mini
18:05 — Why this is a proof of concept (not a product)
20:06 — Architecture: Zero Trust, Workers, R2, Browser Rendering, AI Gateway
22:32 — Demo: AI agent records and posts a video automatically
24:53 — 10,000 GitHub stars and open source support
26:11 — AI in 2026: intensifying work, not replacing it
#ThisWeekinNET — Episode 119
In this episode, host João Tomé is joined by Celso Martinho, VP of Engineering at Cloudflare, to discuss two major launches: Markdown for Agents and Moltworker (for OpenClaw) — and what they signal about the future of AI agents on the Internet.
Celso explains how Markdown for Agents was conceived, built, and shipped in just one week, why AI systems prefer markdown over HTML, and how converting a typical blog post from 16,000 HTML tokens to roughly 3,000 markdown tokens can reduce cost, improve speed, and increase accuracy for AI models. We also explore Moltworker, a proof-of-concept showing how a personal AI agent originally designed to run on a Mac Mini can instead run on Cloudflare’s global network using Workers, R2, Browser Rendering, AI Gateway, and Zero Trust.
We discuss observability for AI crawlers, new monetization models for publishers, the rapid growth of agent ecosystems, and why AI is becoming less hype and more infrastructure.
Check the Cloudflare Blog: blog.cloudflare.com
🎧 Subscribe to the podcast for weekly conversations about the Internet and Cloudflare: ThisWeekinNET.com
⸻
⏱️ Timestamps
1:15 — Introducing Markdown for Agents
1:46 — From idea to ship in one week
2:37 — Why AI systems prefer markdown over HTML
3:30 — HTML “packaging” vs semantic content
4:39 — How Cloudflare converts HTML to markdown in real time
5:19 — Token savings: 16,000 vs 3,000 tokens
6:29 — Context windows, cost, and AI efficiency
8:21 — Tracking markdown trends in Cloudflare Radar
9:05 — Live demo: content negotiation header with curl
11:07 — AI projects in Lisbon: AI Search, PaperCrawl, and more
12:36 — Observability and new monetization models for publishers
13:56 — What is OpenClaw and why it went viral
14:54 — From Hacker News to Cloudflare in hours
17:06 — Running OpenClaw on Cloudflare instead of a Mac Mini
18:05 — Why this is a proof of concept (not a product)
20:06 — Architecture: Zero Trust, Workers, R2, Browser Rendering, AI Gateway
22:32 — Demo: AI agent records and posts a video automatically
24:53 — 10,000 GitHub stars and open source support
26:11 — AI in 2026: intensifying work, not replacing it
