AI‑Powered Workflows
Learn how to integrate local LLMs for deeper content analysis.
This tutorial expands on the quick intro and shows how to build a browser workflow that:
As before, everything runs entirely in your browser — no server required.
graph TB
A[Web Page] --> B[Get All Links]
B --> C[Get All Text]
C --> D[Edit Fields - Analysis]
D --> E[If Node - Logic]
E -->|Long Article| F[Detailed Report]
E -->|Short Article| G[Quick Summary]
This shows how workflows can adapt based on web content.
Agentic WorkFlow.<a> link URLs and labels from the current page.This shows how to gather all hyperlinks on the page.
From Get All Links, click Add node.
Search for Get All Text and add it.
Run Execute Step to fetch full page text (everything visible).
From Get All Text, click Add node again.
Insert Edit Fields to analyze the text.
Configure these fields:
word_count: {{ $json.text.split(' ').length }}character_count: {{ $json.text.length }}summary: {{ $json.text.substring(0, 200) }}...Execute to see analysis results.
This lets you count words, characters, and make a short preview.
graph TB Analysis[Analysis Output] --> Branch[If Node] Branch -->|word_count > 500| Long[Detailed Branch] Branch -->|otherwise| Short[Summary Branch]
From the Edit Fields node, click Add node.
Search and insert If.
Configure it:
word_count500Execute the If node. You’ll see two branches: those above 500 words, and those below.
Now your workflow can respond differently based on content size.
For Long (true) branch:
report_type: “Detailed Analysis”
message:
Long article: {{ $json.word_count }} words, {{ $json.character_count }} charsPreview: {{ $json.summary }}For Short (false) branch:
report_type: “Quick Summary”
message:
Short article: {{ $json.word_count }} wordsPreview: {{ $json.summary }}Then execute the full workflow. The final output will differ based on whether the content was “long” or “short.”
Navigate to a web page with substantial text (e.g. a news article).
In the builder, click Execute Workflow (runs from first node onward).
Watch as:
Inspect the output of the final node to see the generated message.
You now have a branching, content‑aware automation built entirely in the browser.
AI‑Powered Workflows
Learn how to integrate local LLMs for deeper content analysis.
Browser Nodes
Explore all supported browser manipulation nodes.
Key Concepts
Review the fundamentals of triggers, nodes, and data flow.
Troubleshooting & Best Practices
Tips to debug, optimize, and make workflows more robust.