Test Rasa chatbot flows from any page in your browser
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 Rasa in the browser
Clip support tickets, chat transcripts, or conversation logs from any webpage into Rasa training data format with one click
Use the AI sidebar to generate NLU training examples, suggest intents, or draft dialog responses from any browser tab
Overlay Rasa bot test output on top of other internal tools to compare responses without tab switching
Trigger Rasa API calls directly from inside your browser to test flows in context
Unlike Zapier, PixieBrix works in the browser in real time. Pull conversation data from web tools the moment you spot a gap
Share annotated training data collection workflows across your NLP team so everyone contributes consistently
Integrate Rasa with 3000+ apps
Rasa frustrations that cost your team hours every week
  • Context switching between Rasa Studio, docs, and code editors to build and debug conversation flows
  • Manually copying training data examples or intent definitions from external sources into Rasa
  • No AI assistant available inside the browser to suggest NLU training phrases or dialog responses
  • Repetitive copy-paste when porting conversation logs from other tools into Rasa training pipelines
  • Lack of a quick way to clip user feedback or support tickets as candidate training data for Rasa models
  • No easy way to overlay Rasa API responses or bot test output on top of other web tools

Chat with AI to create your first custom workflow

Based on this support conversation or FAQ page, generate 10 diverse training examples for a Rasa NLU intent
Write a concise, friendly bot response for the user message described on this page, suitable for a Rasa story
Extract the user questions from this page and format them as Rasa NLU training examples in YAML format
Review the content on this page and suggest a list of Rasa intents that would cover the user needs described
Explain what might be causing this Rasa conversation flow to fail based on the error or transcript shown on this page
Identify entities mentioned on this page that should be extracted by a Rasa NLU model and suggest entity types

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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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