Smooth CLI
Token-efficient browser for AI agents to navigate web tasks reliably.
docs.smooth.sh
What it does
Smooth CLI is a browser designed for AI agents to complete web-based tasks. Instead of requiring agents to execute low-level browser commands like clicking coordinates or typing text, Smooth accepts high-level natural language instructions. An agent can say "search for flights from NYC to LA and find the cheapest option" rather than issuing dozens of individual click and scroll commands. The tool runs browsers in the cloud and can route traffic through a user's own IP address to handle captchas and geolocation restrictions.
Who it is for
The product targets AI agent builders and developers who integrate agents like Claude Code or other AI systems into applications. It solves a practical problem: most valuable work happens in web browsers, but existing agent-browser tools force models to handle low-level UI navigation. Smooth is for anyone building systems where AI agents need to reliably complete browser-based workflows.
Pricing
The site does not show prices.
How it stands out
Smooth's core differentiation is abstraction. Rather than exposing click coordinates and keystroke commands, it presents a natural language interface. The documentation claims this delivers 20x speed improvements by letting a specialized model handle UI navigation while the main agent focuses on task logic. The approach also reduces token consumption by eliminating context window pollution from repetitive low-level UI actions. The product includes a peer-to-peer tunnel feature that routes traffic through the user's machine, addressing captchas and geolocation challenges that plague browser automation. Cloud hosting means no local setup is required.
What a founder should check
First, verify whether existing tools (Playwright, Puppeteer, browser extensions, or MCP implementations) already solve this problem adequately for the target market. Some teams may accept lower-level abstractions if they gain more control.
Second, examine switching costs and lock-in. Once agents are built against Smooth's natural language interface, how difficult is it to migrate to alternatives? Understanding the API stability and whether competing products might adopt similar abstractions matters.
Third, stress-test the pricing model. The homepage emphasizes cost savings but reveals no actual pricing. At what transaction volume do Smooth's cloud infrastructure costs become prohibitive compared to self-hosted solutions? What prevents customers from building internal equivalents once the approach is proven?
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