Trusted by Individuals and Enterprises

"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 in the browser

Correlate data from ticketing systems, monitoring dashboards, and log tools in a single browser sidebar during complex investigations

Create shareable browser workflows that standardize escalation procedures so junior engineers follow the same diagnostic steps

Auto-generate post-incident reports by aggregating ticket timelines, Slack threads, and monitoring data in the browser

Draft customer-facing RCA documents by pulling technical details from internal tools and formatting them with AI assistance

AI Copilot in the sidebar can analyze log patterns, suggest root causes, or identify similar past incidents from the current page

Surface runbooks and known issue entries directly inside the ticketing tool during active investigations

Frustrations that cost your team hours every week

Complex escalations require correlating data across ticketing systems, monitoring dashboards, log aggregators, and engineering tools simultaneously
Mentoring junior engineers means repeatedly demonstrating workflows that span multiple tools with no way to standardize the process
Post-incident reviews require manually aggregating timeline data from tickets, Slack threads, monitoring alerts, and change logs
Customer-facing root cause analysis documents require pulling technical details from multiple systems and formatting them for non-technical audiences
Cross-tier escalation handoffs lose context because ticket notes, logs, and reproduction steps are scattered across different tools
Known issue databases and runbooks are maintained separately from the ticketing system making them hard to reference during active investigation
Trend analysis across support cases requires exporting data from multiple ticketing queues and manually identifying patterns

Chat with AI to create your first custom workflow

Analyze the ticket timeline and error patterns and draft a root cause analysis document for this incident

Root Cause Analysis

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Compile all relevant context from this ticket including logs, steps taken, and customer details for an engineering handoff

Escalation Handoff

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Aggregate the events from this ticket thread, Slack, and monitoring alerts into a chronological incident timeline

Incident Timeline

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Review the recent tickets in this queue and identify recurring patterns or systemic issues

Trend Identification

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Based on this ticket, create a step-by-step troubleshooting guide that junior engineers can follow

Mentoring Workflow

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Draft a customer-facing root cause analysis explaining this incident in non-technical language

Customer RCA Draft

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Frequently Asked Questions

Who is PixieBrix for?

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.

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What is PixieBrix?

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.

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How does PixieBrix work?

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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"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

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Chat with AI to create your first custom workflow

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