Custom Models alternative

Custom Models (Browser Use) alternative with no model to manage

Kane CLI is the Custom Models alternative with no model to choose, wire, or pay per token for. Natural-language browser automation on a managed model that drives a real browser, self-heals, and verifies pass or fail. Free to install.

npm install -g @testmuai/kane-cli

or read the documentation

Why teams pick a managed model over Custom Models

Custom Models are LLMs purpose-built for browser automation, which is a real advantage if you want to pick and tune the model yourself. The cost is that you do pick, wire, and pay per token for the model on every run.

Kane CLI takes the opposite stance: a managed reasoning model ships with the tool, so there is nothing to choose, configure, or meter. You give it a natural-language objective and it drives a real browser and returns a pass or fail.

Validated flows replay from a cached test.md with no repeat LLM cost, so the managed model stays cheap to run in CI, and any flow exports to native Playwright with one command.

Kane CLI automating a browser flow from natural language

Kane CLI vs Custom Models

Custom Models hand you the model. Kane CLI manages it, so there is nothing to choose or meter.

CapabilityKane CLI (TestMu AI)Custom Models
Model choiceManaged model, nothing to choosePick a browser-tuned model
WiringInstall and go, no keysWire the model and keys
Cost modelCredits plus cached replay, no per-token surprisePay per token per run
AuthoringNatural-language objectives, no codeModel powers your own automation
Verified pass or failBuilt-in assertions, pass or fail with evidenceDepends on your harness
Native Playwright exportOne command

What you get with Kane CLI

The convenience of a managed model, with a production verdict on top.

No code, no keys

Skip the SDK wiring and the model and API key setup. Install one CLI, describe the journey in natural language, and Kane CLI drives a real browser with a managed model.

Resilient by default

When the frontend changes, Kane CLI adapts on its own, pushing through up to 50 steps until the full journey is verified instead of breaking on a moved element.

Verified pass or fail

Built-in assertions check each step, not just the final screen, and flag the exact point of failure. A real result, not raw agent output to parse.

Replay and caching

Validated flows replay from a cached test.md with no repeat LLM cost, so re-running the suite in CI does not keep burning tokens.

Cross-browser cloud and CI

Scale to cross-browser and cross-OS runs on the TestMu AI grid with one flag, and gate pipelines on clean exit codes from your terminal.

Own the Playwright code

Export any validated flow to native Playwright with one command, then modify and own it. The convenience never locks you in.

Build up confidence locally

Start in your terminal

Start in your terminal

Validate on the cloud

Validate on the cloud

Release with confidence

Release with confidence

From prototype to production, on one engine

Kane CLI and KaneAI share the same automation engine and dashboard.

Prototype to production

Open-source agents and SDKs are great for prototyping. Kane CLI is the production-grade, test-focused path: assertions, caching, evidence, and CI built in.

Built for the agent loop

Generate code, then verify it in a real browser before opening a PR. Kane CLI closes the gap between what an agent writes and what works.

Evidence you can share

Every run produces a persistent video, step trace, and replay link to drop into a PR or bug report, backed by a dashboard your team can browse.

Skip model management in three steps

1

Install

Run npm install -g @testmuai/kane-cli, then sign in with your TestMu AI account. No project to scaffold and no API keys to manage.

2

Describe the flow

Tell Kane CLI what to do in natural language, or point your AI coding agent at the agent guide and let it drive the browser.

3

Run and verify

Kane CLI drives a real browser, verifies each step, and returns a pass or fail with video proof. Re-runs replay from cache with no repeat LLM cost.

Get Started With Kane CLI

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Get the technical rundown

Blog

A look at Kane CLI. What we built, what it does, and where it is headed.

Documentation

Everything you need to install, configure, and run Kane CLI in under 2 minutes.

GitHub

Browse the source, file issues, and follow the roadmap on GitHub.

Frequently asked questions

Kane CLI by TestMu AI is a strong Custom Models alternative when you would rather not manage a model at all. Custom Models are LLMs you pick, wire, and pay per token for. Kane CLI ships a managed reasoning model, so you give it a natural-language objective and it drives a real browser and returns a verified pass or fail, with no model to choose or meter.

Custom Models, from Browser Use, are LLMs purpose-built for browser automation. They can improve automation quality, but you select, integrate, and pay per token for the model yourself.

Kane CLI does not ask you to choose or manage a model. It ships a managed model, self-heals with confidence-scored matching, returns a pass or fail with evidence, replays from a cached test.md with no repeat LLM cost, and exports to native Playwright with one command.

Teach your agent the right skills

Point your AI coding agent at the Kane CLI guide and it will install, authenticate, and run verified browser flows on its own, no SDK or API keys required.

Point your agent to: testmuai.com/kane-cli/agents.md