Test and log Orq.ai prompts from any tab in one click
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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 Orq.ai in the browser
Clip prompt outputs, evaluation results, or deployment notes from Orq.ai directly into Jira, Notion, or any project tracker in one click, with no copy-pasting
Embed a PixieBrix sidebar on the Orq.ai dashboard to pull in live customer or request context from a CRM, turning abstract prompt tests into real-world scenarios
Trigger cross-app actions from the Orq.ai interface. Log a prompt deployment decision to a Slack channel or create a follow-up ticket without leaving the tab.
Give PMs and content teams a one-click overlay that surfaces the current Orq.ai prompt version alongside the live production app, cutting tab switching during review sessions
Unlike Zapier or iPaaS, PixieBrix runs in the browser where work already happens. No background webhooks, no separate workflow builder. Actions are instant and in-context.
Works without admin access or SDK changes. Layers on top of Orq.ai as a browser extension so teams can automate day-one without engineering effort.
Integrate Orq.ai with 3000+ apps
Orq.ai frustrations that cost your team hours every week
  • Non-technical stakeholders (PMs, content teams) must copy prompts out of Orq.ai into docs, Slack, or emails to share feedback with engineers — no in-context collaboration layer
  • Teams paste prompt outputs from Orq.ai into external tools (Notion, spreadsheets, CRMs) manually to document results or create follow-up records
  • Context switching between the Orq.ai dashboard and the production app under test breaks iteration flow — engineers must jump between tabs to compare live output to the expected Orq.ai variant
  • No quick way to pull relevant customer or request context from a CRM or support tool into an Orq.ai prompt test without manually copying it over
  • Prompt deployment decisions require gathering performance data from Orq.ai and aligning stakeholders in separate tools (Slack, email, Jira), adding round-trips before a change ships
  • Teams maintain parallel records — one in Orq.ai (prompt versions) and one in project trackers — because there is no browser-native shortcut to clip and send Orq.ai insights into tickets or docs

Chat with AI to create your first custom workflow

Extract the prompt name, version, and evaluation score from this Orq.ai page and create a Jira or Linear ticket summarizing the deployment decision
I'm testing a prompt in Orq.ai — fetch the relevant account details from my CRM for this customer and format them as a test input
Summarize the evaluation results on this Orq.ai page into a brief Slack-ready update explaining which prompt variant won and why
Draft a short non-technical explanation of the prompt change shown on this page, suitable for sharing with a product manager or business stakeholder
Capture the prompt version and performance metrics from this Orq.ai page and append them as a log entry in my team's shared Notion doc
I'm reviewing an Orq.ai prompt variant — summarize how it differs from the current production prompt and flag any risks before I approve deployment

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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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