Inflight
Inflight provides a feedback toolkit that embeds directly into live prototypes, letting reviewers pin comments to specific UI elements and record video without needing an account. The platform automatically structures this feedback into actionable next steps that AI coding agents can pull via the Model Context Protocol, closing the loop between design review and implementation. It syncs with Slack and works on any preview URL via a single script tag.
- Developer Tools
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Design and development teams often struggle to translate prototype feedback into actionable development tasks. Reviewers leave comments in separate tools that lack visual context, forcing developers to manually interpret and reconcile feedback against specific UI elements, which slows iteration and introduces miscommunication.
Solution
Inflight offers a feedback widget that can be placed on every preview deployment, enabling reviewers to comment directly on the live running app with comments pinned to real UI elements. Each piece of feedback is structured so that it can be automatically converted into next steps for a coding agent. The system connects to development workflows through the Model Context Protocol (MCP), allowing AI agents to receive and act on the feedback directly. This closes the loop between design review and implementation, reducing manual handoff and accelerating prototype iteration.
Target Audience
Product design and engineering teams that iterate frequently on prototypes and use AI-assisted coding tools to accelerate development.
Features
- Inline commenting widget that can be embedded on any preview deployment via a single script tag
- Comments are pinned to specific DOM elements, providing precise visual context for each piece of feedback
- Built-in video recording that lives directly in the prototype, replacing separate Loom links
- Automatic conversion of comments into structured tasks that coding agents can execute
- MCP-based integration enabling AI agents to fetch, parse, and implement feedback directly
- Two-way Slack synchronization where comments are added to Slack threads and replies flow back into the toolkit
- Version history and folder organization for all prototypes in one place
- Reviewers can participate with no account or installation required