Questions about XTrace

What does XTrace do?

XTrace connects company context with what people and AI agents learn as they work. It keeps useful knowledge available across your team, brings guidance into agent workflows, and shows where people need to step in. Your team builds on prior work instead of starting over.

What is a shared Brain?

A Brain is a shared place for the context around an account, project, or team. It brings together facts, decisions, procedures, documents, and agent sessions. People and their agents can find what matters, understand the source, and retain how work was done and what was learned.

How is XTrace different from .md files?

Markdown files hold the instructions someone writes and maintains. XTrace also retains decisions and lessons from work, manages which context is relevant, and makes it available across people and agents. Shared guidance and activity history help the team apply that knowledge and see what happened.

Which teams can use XTrace?

Engineering teams can reuse fixes and reduce repeated code-review corrections. Go-to-market teams can carry account context from discovery into presentations, demos, and handoffs. AI leaders can start with a specific workflow and evaluate how shared context changes the work.

Does XTrace work with our existing AI tools?

XTrace offers built-in plugins and MCP integrations for major AI tools. We work with your team on custom connections when you need an internal system or specialized tool. On a call, we can map the tools, data sources, and workflows that matter in your environment.

Who can access our shared context?

Brains have read, edit, and admin roles for teammates. Choose who can use and maintain the context around each area of work. For an enterprise evaluation, we’ll also review connection scope, data handling, and deployment requirements with your team.

How do we measure the value?

Start with a workflow and an agreed baseline. Compare repeated work, human intervention, time spent, and token usage alongside the quality of the result. In engineering, Observe can connect agent activity to merged code changes. The evaluation should show where the workflow improves and what still needs attention.

What will we cover on a call?

We’ll start with your team’s goals, current AI tools, and where context or repeated work slows you down. Then we’ll walk through the relevant parts of XTrace, discuss your integration and governance requirements, and identify a focused starting point with a clear way to evaluate it.

Make your next agent session a better starting point.

Make your next agent session a better starting point.

Bring a workflow. We’ll explore the context, guidance and practical next steps with you.

Bring a workflow. We’ll explore the context, guidance and practical next steps with you.

Bring a workflow. We’ll explore the context, guidance and practical next steps with you.