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"The model is the engine — but the harness is everything else." In Episode 7, we dig into why the infrastructure layer around your AI model matters more than the model itself, rank the best models available right now, and ask whether the open-weighted revolution is about to make frontier subscriptions obsolete.

AI agents can generate code, suggest selectors, and draft crawl logic. What they can't do is design the system that decides when to stop, what to trust, and how to recover when the web pushes back. That job still belongs to a human.

Multi-agent orchestration is having its moment. The diagrams are everywhere now. Boxes for planners, boxes for hands, boxes for daemons, arrows to a shared brain, a human floating at the top. They keep getting prettier. The part where the web pushes back is still the part nobody draws.

For the last 30 days, I did one thing almost exclusively: I built scraping systems with AI agents, from the ground up, across real targets, with real deadlines. Not prototypes designed to impress in a demo, not isolated experiments running against a toy website, but production-grade pipelines that needed to ship and keep running.

I built a mood board pipeline that starts with a screenshot. Claude Skills and Zyte API for search, product extraction, and image embedding at any scale.

An interview with Scrapy maintainer Adrian Chaves on Zyte’s Web Scraping Copilot, AI-generated parsing code, and building reliable scraping workflows.

Discover how AI copilots like Zyte’s Web Scraping Copilot are transforming developer workflows—making code a commodity and shifting value to problem-solving and prompting skills.

Compare Claude skills, MCP servers, and Web Scraping Copilot to understand when to use each for AI-powered web scraping, data extraction, and production pipelines with Zyte API.

Learn how Claude skills can automate HTML fetching, AI parsing, selector generation, and structured data extraction to build faster, smarter web scraping workflows.

As a data scientist, your job is to find patterns, build models, and generate insights. To do that, you first need to reliably acquire web data. Competitor pricing, product specifications, consumer reviews - you name it, data scientists need it.

Claude Sonnet 4.6 is now the top model in Zyte’s Web Scraping Copilot benchmark, narrowly beating Gemini 3 Pro on extraction quality, with a small increase in code complexity.

2025 was the year AI learned to reason. From reasoning-first LLMs to autonomous agents and a reshaped web economy, this retrospective explores what changed—and what’s coming next.