AdaL

AdaL is a coding agent from SylphAI that combines terminal development with browser interaction and multimodal work. It can inspect a codebase, edit files, run commands and prepare media or demos around a product. Its workflow includes visible tool actions and saved sessions so developers can review what happened and continue a task later.

Develop in the terminal with reviewable actions

The CLI product page describes model selection, command discovery, tool confirmations and a handoff to a visual workspace. File edits, diffs and verification steps remain visible during the task. The Quickstart shows starting AdaL inside a project and attaching relevant files to a request.

This suits developers who want an agent to work against a real repository while keeping the proposed changes understandable. Supply the failing behavior, reproduction steps and project conventions. A generated patch still needs review for assumptions that the prompt or existing tests do not capture.

Check a live app and create supporting media

Browser Use adds a real browser to the current agent for page interaction, screenshots and debugging. It loads as a capability when the task requires it. The documentation requires a Chromium-based browser and describes Chrome, Chromium and Edge discovery across supported systems.

AdaL also documents image, audio and video capabilities. A developer can request a product demo or supporting asset alongside implementation work. Review each generated asset against the shipped feature; a demonstration script can describe behavior that the code does not yet implement.

Preserve context and isolate parallel changes

Session management provides a resume picker, current-session statistics and a full HTML history containing messages, tool calls and responses. These help recover a prior decision or inspect which command produced an error.

The worktree tool creates isolated Git checkouts for separate tasks. Engineer mode can assign workers and merge their results. Setup files may be copied into each checkout, with project configuration controlling the selection. Check those rules before parallel work so a task receives the intended environment rather than unexpected configuration.

A checkout-fix workflow

For a rounding error, open the project in AdaL and provide a failing example plus the relevant calculation file. Ask it to explain the current rounding rule, propose a small patch and run a regression case. Review the diff and compare results with the expected currency precision.

Then ask Browser Use to open the local checkout screen and exercise the same cart. Compare the displayed total with the calculation result. Save the session so another developer can inspect the reproduction and verification. A successful browser interaction is evidence for that scenario, not proof that every payment or locale path works.

Limitations and pricing

Browser checks depend on the installed browser, accessible app and session state. Parallel worktrees isolate files but still require conflict review when changes return to the main branch. Worktree cleanup is explicit; the documentation says it retains work with uncommitted changes or unpushed commits unless instructed otherwise.

The pricing and usage guide lists paid individual plans with credits shared across supported language and media operations, including weekly limits on included credits. Compare likely coding, browser and media usage together, and inspect the account’s usage controls before recurring work. The official website links installation and current product information.