layernote

Product Introduction

1. Definition: Layernote is a cloud-based visual feedback and design review platform (SaaS) that functions as a collaborative annotation layer for live websites, PDFs, and images. It operates as a browser-based tool that overlays a feedback interface on top of any shareable URL or uploaded static file.
2. Core Value Proposition: It exists to eliminate the chaos of scattered design feedback by anchoring every comment directly to the specific HTML element, CSS property, or pixel it references. Its primary value is closing the loop between client feedback and developer implementation, especially by enabling AI coding agents (via MCP) to autonomously interpret and fix reported issues, ensuring "what you design is what you ship."

Main Features

1. Precise Element Annotation: Users can place "pins" directly on any element of a live website, PDF, or image. Each pin captures the exact screen coordinates and, for web pages, the underlying HTML/CSS selector (e.g., section.hero > h1). This provides developers with precise, actionable context instead of vague descriptions.
2. Client Review via Share Link: Project owners can generate a secure, shareable URL. Clients and stakeholders can view the project and leave annotated feedback directly in their browser without creating an account, downloading software, or logging in, drastically reducing friction in the review process.
3. MCP Integration for AI-Powered Fixes: This is the key technical innovation. Layernote exposes its API as a Model Context Protocol (MCP) server. Developers can connect AI coding agents like Claude Code or Cursor. The agent can fetch a list of open feedback items, each containing the comment, target element, and relevant CSS. It can then autonomously edit the codebase and automatically mark the feedback as resolved, posting a commit-like summary of the changes made (e.g., "fontWeight: 400 → 500").
4. Figma vs. Live Design Comparison (Coming Soon): An upcoming feature that automates visual regression testing. It will programmatically compare a linked Figma design file against the live website, detecting and reporting discrepancies in spacing, typography (font weight, size), color values, and layout as pre-populated annotation pins.
5. Kanban Board & Task Management: Annotations can be converted into tasks and managed within an integrated Kanban board (available on higher-tier plans). This allows teams to track feedback status (Open, In Progress, Resolved), assign priority, and manage workflows without leaving the platform.
6. Multi-Breakpoint Review: The tool allows reviewers to switch between device viewports (e.g., Desktop, Tablet, Mobile) to leave feedback specific to responsive design breakpoints, ensuring issues are caught across all screen sizes.

Problems Solved

1. Pain Point: Feedback fragmentation and loss of context. Traditional reviews scatter comments across Slack, email, and screenshots, decoupling feedback from the live asset. This leads to misinterpretation, endless clarification threads, and missed fixes.
2. Target Audience: Freelance Web Designers & Developers (solo practitioners managing client reviews), Digital Agencies & Studios (teams handling multiple client projects), In-House Product Teams (designers and developers needing to align on UI changes), and Front-End Developers who directly implement visual changes.
3. Use Cases: Client Website Approval: Sharing a staging site link for final sign-off, where clients pin comments directly on the live page. Developer Handoff: A designer annotating specific styling issues (e.g., incorrect padding, color hex code) on a production site for a developer to fix. Automated Code Corrections: A developer using Claude Code with the MCP integration to automatically process and fix a batch of minor visual tweaks reported by QA. PDF/Image Proofing: Collecting feedback on marketing brochures, exported design comps, or wireframes uploaded as static files.

Unique Advantages

1. Differentiation: Unlike generic screenshot tools (Loom, Markup.io) or project management apps (Asana, Jira), Layernote's feedback is semantically linked to the page's Document Object Model (DOM). Unlike Figma's native commenting, it works on live, deployed code and integrates directly with the development workflow via MCP. It bridges the gap between design review and code execution.
2. Key Innovation: The MCP (Model Context Protocol) handoff is its defining technical advantage. It transforms subjective visual feedback into structured, machine-readable tasks for AI agents. This creates a closed-loop system where feedback directly triggers code changes, with automatic verification and documentation of the fix within the same thread.

Frequently Asked Questions (FAQ)

1. How does Layernote's MCP integration work with AI coding agents? You install the Layernote MCP server and provide an access token. Then, within an MCP-compatible editor like Claude Code or Cursor, your AI agent gains the ability to list open feedback items, read the technical context (CSS selectors, comments), edit code files to address the issues, and automatically post a resolution message back to Layernote, closing the feedback loop.
2. Do my clients or team members need to install software to use Layernote? No. Layernote is a purely web-based platform. Reviewers only need a shareable URL provided by the project owner. They can view and annotate directly in their standard web browser (Chrome, Safari, Firefox, etc.) without any installations, plugins, or account creation.
3. What file types and sources can I collect feedback on with Layernote? Currently, Layernote supports live websites (via URL), uploaded static images (JPG, PNG, WEBP, SVG), and PDF documents. An integration for live Figma file review is under development and pending approval from Figma.
4. How does the upcoming Figma vs. Live comparison feature work? You will link a Figma design file to a website project within Layernote. The system will then perform an automated scan, comparing computed styles from the live website against the design specifications in the Figma file. It will generate a report and create annotation pins for every detected discrepancy in properties like margin, padding, font size, color, and border-radius.
5. What happens to my annotated feedback when the website code changes? Layernote uses element selectors and positioning to anchor pins. If the underlying HTML/CSS structure changes significantly, a pin may become "detached." The platform includes version history to help track changes, and the MCP integration is designed to resolve feedback quickly, minimizing the window for such drift.