Install
Download Lace from inlace.co and drag it into your Applications folder. Open the app from Applications or Spotlight.Grant permissions
Lace needs four macOS permissions for full functionality:
macOS prompts for screen recording and accessibility on first launch, microphone the first time you use voice dictation, and notifications when Lace first sends one. You can manage all four in System Settings. See Permissions for details.
Sign in
Open Lace and sign in with your account. Your workspace is scoped to your organization.Start a conversation
Press ⌘L to show or hide Lace. Type a message to start a new chat. To bring your screen into the conversation, press Start session in the app header (or ⌘S while Lace is focused), and Lace uses what you’re looking at as context. Use the model picker in the composer to choose which AI model responds.Your first capture
1
Work like you normally do
Open the tools you use for a real task and start a session from the app header (or ⌘S). Lace follows along, keeps up with what you’re looking at, and records a session flow agents can query later.
2
Mark what matters
Most moments don’t need a note. When you decide something your team or your agent should understand, switch into Review (⌘\, or the mode button on the pill) and pin it where it happened. Attach it as context for a comment.
3
Resolve it
Resolving promotes the comment to a decision. Lace attaches the screenshot, the spot on screen, and the discussion on its own.
4
Replay it
Connect your agent through MCP. It queries your comments and decisions and executes with the full context behind each one.
Attach files
Open the + menu in the composer and choose Add files to attach a document to any chat. Lace indexes the file and cites specific sections inline in its responses. Supported formats: PDF, CSV, Markdown, Word (.docx), and plain text (.txt). Limits: 50 MB per file for PDF and CSV, 25 MB for Word, Markdown, and plain text, 10 files per chat.What to try first
Ask about your screen
Open any app and ask Lace what it sees.
Write a comment
Attach screen context to a comment. Resolve it into a decision.
Hand knowledge to your agent
Agents execute from what your team captured.
Publish for review
Your agent presents its work on a page, and your team’s feedback is captured where they give it.