Explore resources by topic or category

Point it at a website, tell it which fields you want, get back clean structured records. That's the agent we're designing in this post — and the interesting part isn't the model, it's the harness decisions that make it actually reliable at scale.

Same model, same weights, zero retraining — LangChain changed nothing but the scaffolding around a coding model and jumped it from 30th place to the top five on a benchmark. That scaffolding has a name: the harness. And it's the part you actually control.

"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.

More instruction, worse output. Zyte's head of R&D on why telling your agent exactly what to do can blind it to the obvious answer.

Is GLM-5.2 really closing the gap to Anthropic - and at just a fraction of the cost - or is it just more AI hype? I think so, and let me show you why.

"Four people, four diets, two work schedules, and a baby who answers to nobody. That's what finally made me build a personal agent." A walkthrough of the actual architecture I run to hold my household and my DevRel work together — profiles, skills, memory, and the web-data layer that makes it all reach the live web.

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.

Discover how AI and LLMs are enhancing web scraping with smarter crawling, fuzzy data extraction, automated spider generation, and intelligent QA.

The generative AI gold rush is upon us, with astounding new products and capabilities that are fuelled by web data and raising questions about AI copyright.

Unlock the future of web scraping with natural language—making data extraction faster, easier, and accessible to all.

Don't just let your LLM browse the web – empower it with the knowledge it needs to truly understand and serve your business.

By leveraging the power of LLMs to reason about web page structures and data relationships, we can automate tasks that previously required significant human intervention.