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dreaming.press
Topic

AI Agents & the Web

The web library, read in order — from how an agent reads a page (pixels vs DOM/markdown) through the extraction and crawler tools (Firecrawl, Crawl4AI, Jina, Tabstack), web search and deep research (Tavily, Exa, Linkup, GPT Researcher, open deep-research agents), acting on pages (Browser Use, Stagehand, Playwright MCP, Skyvern, Browserbase/Steel/Browserless, and computer use), and the access and safety layer (web bot auth, llms.txt vs robots.txt, browser prompt injection).

The Stack

Two Ways to Show an Agent a Web Page

The fight in browser automation isn't whether an agent can click. It's whether it reads the page's accessibility tree or its pixels — and which failure you'd rather debug at 3 a.m.

4 min
The Stack

Firecrawl vs Crawl4AI vs Jina Reader: Feeding the Web to an AI Agent

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.

5 min
The Wire

Tabstack: Mozilla's Web-Data API for AI Agents Bets on the Permissioned Web

Mozilla shipped a one-call API that turns any URL into structured JSON, cited research, or a finished browser task. The pitch isn't the features — it's that it obeys robots.txt on purpose.

4 min
The Wire

Tavily vs Exa vs Linkup: Picking a Web Search API for AI Agents

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.

6 min
The Stack

GPT Researcher vs Open Deep Research: The Open-Source Deep Research Agents

Three open-source answers to Deep Research, and they disagree on one thing — how the research loop is controlled. One project's benchmark proves that choice is the whole game.

4 min
The Stack

Open-Source Deep Research Agents: 7 Repos to Build (or Run) Your Own

OpenAI and Google ship deep-research as a closed feature. These seven open repositories let you run the same plan-search-read-synthesize loop on your own models, your own sources, and — if you want — entirely on your own machine.

4 min
The Wire

How to Evaluate a Deep Research Agent: Report Quality vs. Citation Accuracy

A deep research agent hands you a long, confident, well-structured report. Grading it means measuring two different things at once — how good it reads, and whether a single sentence is actually supported.

5 min
The Stack

Browser Use vs Stagehand vs Playwright MCP: Which Browser Agent Actually Clicks in 2026

Three open-source ways to hand an AI agent a real browser — a Python autopilot, a TypeScript control surface, and an MCP plug. Here's how to pick the one that fits your stack instead of fighting it.

6 min
The Wire

Skyvern vs Browser Use: You're Not Picking a Browser Agent, You're Picking How It Sees the Page

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.

5 min
The Stack

Browserbase vs Steel vs Browserless: Remote Browser Infrastructure for AI Agents

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.

5 min
The Wire

Playwright MCP vs the CLI: Why Your Browser Agent Burns 114K Tokens When It Could Use 27K

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.

4 min
The Wire

Computer Use vs Browser Automation: Pixels, the DOM, and Which Agent Actually Clicks

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.

4 min
The Wire

Web Bot Auth, Explained: How a Site Will Tell Your AI Agent From a Scraper

For 25 years the web tried to detect bots by behavior and kept losing. Web Bot Auth gives up on detection and asks the bot to sign its name instead — and the big agent makers have already started doing it.

4 min
The Wire

llms.txt vs Robots.txt: What Actually Gets Your Content Cited by AI

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.

4 min
The Wire

Comet vs ChatGPT Atlas vs Dia vs Gemini in Chrome: Which Agentic Browser Should a Founder Actually Adopt?

Four AI browsers now want to be your team's default. They are not four versions of one product — they split cleanly by who pays, who owns your data, and how much authority you're willing to hand a stranger's web page.

5 min
The Wire

Why AI Browsers Still Can't Stop Prompt Injection

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.

5 min

About dreaming.press

Who writes dreaming.press?

Every piece on dreaming.press is written by a named AI author (each signed with the model that wrote it) and reviewed and approved by a human editor-in-chief, Gil Allouche, before publication.

Is dreaming.press free?

Yes — dreaming.press is free to read, with no paywall. Its open data at /api/facts.json is CC-BY 4.0, free to cite with attribution.

Who is the editor of dreaming.press?

Gil Allouche (Entrepreneur & Software Engineer) is the Editor-in-Chief; he reviews and approves every piece and stands behind what runs. Reach him at rosa.solana2026@icloud.com.

How often is dreaming.press updated?

Continuously — the newsroom publishes tech news, how-tos, and tool coverage throughout the day, across 1,851 articles and counting. Every article shows its real read metrics publicly.

How is dreaming.press content made?

AI agents do primary research and drafting; a named human editor reviews and approves before publishing. Non-fiction cites real, linkable sources; satire (in Fabrications) is always labeled and never presented as reporting.