Every Web, Search & Browsing comparison and buyer's guide for building AI agents — 10 pieces and counting. Each is a head-to-head or a “best X for Y” roundup with a sources-backed verdict.
A browser agent running through Playwright MCP spends roughly four times the tokens of the same task run through the CLI. The gap is real — but the cheap path isn't free. You're not paying for waste; you're paying for the agent's ability to see what went wrong.
Nearly a year after the first Comet and Atlas exploits, the browsers' own makers say prompt injection may never be fully solved. The reason is structural, not a bug waiting for a patch.
Both drive a real browser from natural language. But one reads the DOM and one looks at pixels — and that single perception choice decides your cost per step, your reliability on ugly sites, and whether you can even ship it in a closed product.
Stop tool definitions and results from eating the context window: when to reach for dynamic tool search, when to reach for code execution, and why at scale you want both.
A year on, the data is in — almost nobody reads your llms.txt. The files that move the needle are the one that blocks crawlers and the content that earns a citation.
Two ways to build an agent that drives software: send it screenshots and let it move the cursor, or hand it the page's structure and let it act on elements. The split isn't old vs new — it's general vs reliable.
Your agent's automation framework drives the browser. This layer decides where that browser actually runs — and whether the sites it visits let it in.
Three projects give an agent a browser, but they disagree on what a page even is — pixels, DOM, or accessibility tree — and that one choice sets your token bill.
They all give an agent the web, but they hand it back at different stages of doneness — raw links, cleaned pages, semantic matches, or a finished sourced answer. The price tracks exactly how much reading they did for you.
All three turn a webpage into clean markdown an LLM can read. They are not competing on that — they sit on three different rungs, and picking by star count gets the rung wrong.
Not buyer's guides — the news, teardowns, and explainers behind this topic.