Browsing: AI Reviews

Rabbit AI’s R1 promised a pocket device that books, orders and clicks for you. Here’s what the $199 gadget actually does today, and who it’s really for.

Scrapybara gives AI agents their own cloud computer to click, type, and run code. Here’s how the API works, what it costs, and what breaks in production.

Browserbase runs headless browsers in the cloud for AI agents and scrapers. Here’s how sessions, stealth mode, Stagehand and Live View work in practice.

Firecrawl turns messy web pages into clean markdown and structured JSON for LLM apps. Here’s how its scrape, crawl, map and extract endpoints work in practice.

Discover what Exa AI is, how its neural search API works, and why it’s becoming the go-to retrieval layer for AI agents and RAG applications.

Tavily AI is an API that helps LLMs search the live web. This post explains how its endpoints ground agents in fresh data, cut hallucinations, and beat old search APIs.

LangSmith is an observability and evaluation platform for LLM apps. Learn how to use it for tracing, debugging, evaluation, and production monitoring real-world AI.

Discover what Continue.dev agents are, why they matter, and how to create custom agents that automate coding tasks across your repo.

OpenHands is an open-source AI coding agent that plans, writes, and debugs real code changes. See how it works, what it can’t do, and how to get started.

Agent Zero is redefining autonomous AI agents. Learn how this orchestration pattern works, why agent identity matters, and what it means for your AI strategy.