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What is LayerDock?

LayerDock provides a collaborative online workspace designed for teams and clients to detect website issues, gather pertinent information, and effectively share solutions. Users can easily create a Dock for any website without the hassle of downloads or Chrome extensions, allowing them to place pins directly on live pages. Each pin collects essential data, including a screenshot, CSS selector, viewport dimensions, console logs, network requests, and information about the browser and operating system. Clients can give feedback through a simple shared review link, which means they do not need to get acquainted with your development workflow, while internal notes remain private. The platform enables users to review from multiple devices, record their screens, inspect elements, perform in-browser accessibility checks, and annotate screenshots as required. In addition, users can assign pins, track their progress, and participate in threaded discussions. The tool integrates smoothly with various platforms like Slack, Jira, Linear, GitHub, Trello, and ClickUp, or it can send pins directly to coding assistants like Claude Code and Cursor through MCP, including all relevant context. As a viable alternative to platforms such as BugHerd, Marker.io, and MarkUp.io, LayerDock also offers a complimentary plan to help users get started. By improving communication and organization, it seeks to simplify the website issue resolution process for all parties involved, ultimately fostering a more efficient workflow. This makes it an excellent choice for teams looking to enhance their collaborative efforts while addressing website challenges.

What is Agentation?

Agentation acts as a groundbreaking visual feedback tool designed specifically for AI-enhanced coding workflows, transforming user interface annotations into a format that AI agents can easily understand and leverage. Through direct interaction with elements in a live application, users are able to click on items, provide notes or feedback, and generate structured results that can be utilized by AI tools like Claude Code, Cursor, and other coding assistants. The outputs produced include essential technical details such as CSS selectors, source file paths, component hierarchies, and computed styles, equipping agents with the ability to identify and rectify specific issues within the codebase accurately. By effectively melding visual context with user intent, Agentation reduces the reliance on lengthy verbal explanations of UI issues, thereby decreasing the likelihood of misinterpretations and improving the accuracy of AI-generated solutions. The tool features an interactive overlay that highlights elements as users hover over them, while also supporting detailed annotations for a richer feedback experience. This sophisticated method not only optimizes the coding process but also cultivates a more intuitive relationship between users and AI agents, ultimately enhancing productivity and collaboration. By facilitating clearer communication, Agentation empowers developers to focus more on creativity and problem-solving.

Media

No images available

Media

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

Model Context Protocol (MCP)
CSS
Claude Code
Codex CLI
Markdown

API Availability

API Availability

Has API

Pricing Information

$15/month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Chromebook

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

LayerDock

Date Founded

2026

Company Location

United States

Company Website

layerdock.io

Company Facts

Organization Name

Agentation

Company Location

United States

Company Website

www.agentation.com

Categories and Features

Design Feedback

Not specified

Visual Feedback

Not specified

Categories and Features

Agentic AI

Not specified

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