Monitor Langfuse LLM traces and file issues from any page
Use PixieBrix to customize and automate any tool you already use, right in your browser.
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"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Top reasons to automate Langfuse in the browser
Create GitHub issues or Jira tickets from Langfuse trace failures in one click without switching tabs
Alert engineering teams via Slack when Langfuse detects LLM quality degradation automatically
Push Langfuse evaluation results and trace data to documentation tools without copy-pasting
Build automated workflows that route LLM quality issues to the right development team
AI Copilot can analyze Langfuse traces and suggest prompt improvements or root cause fixes
Unlike Zapier, PixieBrix acts in real time inside the browser where LLM monitoring happens
Integrate Langfuse with 3000+ apps
Langfuse frustrations that cost your team hours every week
  • Context switching between Langfuse and GitHub, Jira, or Slack to act on LLM trace issues
  • Manually copying trace data and prompt outputs from Langfuse into bug reports or documentation
  • No quick way to create incident tickets from Langfuse trace failure pages without navigating away
  • Repetitive copy-paste when documenting LLM evaluation results for team reviews
  • Lack of automation to alert teams when Langfuse detects quality degradation in LLM traces

Chat with AI to create your first custom workflow

Extract the trace failure details from this Langfuse page and create a GitHub issue
Analyze the Langfuse trace on this page and identify why the LLM response quality is low
Based on the quality degradation shown, draft a Slack alert for the LLM engineering team
Review this Langfuse trace and suggest how to improve the prompt to get a better response
Summarize the Langfuse evaluation scores on this page for the weekly model review
Create a documentation entry based on the root cause identified in this Langfuse trace

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Frequently Asked Questions

PixieBrix is designed for teams that want to move faster without heavy engineering effort. It is commonly used by support teams, operations teams, product teams, and technical teams who need to connect tools, reduce manual work, and ensure the right information reaches the right people at the right time.

PixieBrix is a browser-based automation platform that lets you customize how the tools you already use work together. It allows teams to add context, automate workflows, and create guided experiences across apps like support tools, internal dashboards, and SaaS products without building or maintaining custom integrations.

PixieBrix works by layering automation directly into the browser. It can read data from the page you are viewing, connect to APIs, and trigger actions like sending messages, filling forms, or enriching data in real time. This lets teams automate workflows exactly where work is already happening.

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