Performance Optimization

If a workflow feels slow, freezes the page, or sometimes fails, it is usually not a bug.
It is often caused by too much work happening at once inside the browser.

This page explains how to make workflows faster, smoother, and more stable, even on complex websites.

How Workflow Performance Works

Agentic Workflow Studio runs:

Directly inside your browser
On the current webpage
Using your computer’s memory and CPU

This means:

Heavy pages = slower workflows
Large extractions = more memory usage
Too many steps = longer execution time

Good performance starts with simple workflows.

Quick Wins (Do These First)

Before changing your workflow:

Close unused browser tabs
Restart your browser if it has been open for a long time
Disable other heavy extensions temporarily
Use Chrome or Edge for best performance

See:

Browser Compatibility

Most Common Causes of Slow Workflows

Extracting Too Much Data

Extracting the entire page text or full HTML can be very slow, especially on long pages.

Typical symptoms:

Workflow takes many seconds to start
Browser becomes unresponsive
AI nodes take a long time to answer

Better approach:

Extract only what you need
Prefer specific sections instead of the full page
Avoid full HTML unless absolutely necessary

See:

Running Too Many Extraction Steps

Using many extraction nodes one after another increases execution time.

Example of a slow pattern:

Extract page text
Extract links
Extract images
Extract tables
Extract metadata

Better approach:

Extract only what your workflow really uses
Avoid duplicate extractions
Reuse extracted data when possible

Pages That Load Slowly

Some websites:

Load content progressively
Update content while scrolling
Use heavy animations or scripts

If your workflow starts too early, it will wait or retry.

Best practice: Always add a Wait for Element step before extracting.

See:

Wait node

Improving Workflow Speed Step by Step

1. Wait Before Acting

Never extract or click immediately after page load.

flowchart TD
    A[Page Opens] --> B[Wait for Element]
    B --> C[Extract Data]
    C --> D[Process or Analyze]

Waiting for the right element is faster than retrying failed steps.

2. Scroll Only When Needed

Scrolling triggers content loading on many websites.

Use scrolling only if:

Data appears when scrolling
The page uses infinite lists
Images or items load lazily

Avoid unnecessary scrolling.

See:

Browser extension nodes

3. Reduce AI Input Size

AI nodes slow down when they receive large text.

If AI feels slow:

Send only the relevant text
Avoid full-page input
Summarize or filter before analysis

This dramatically improves speed.

See:

LLM nodes

4. Avoid Running Too Many Things at Once

Running many heavy steps together can overload the browser.

Better pattern:

One main extraction
One transformation or AI step
One output or action

Simple workflows are faster and more reliable.

Signs Your Workflow Needs Optimization

Watch for these warning signs:

Execution takes more than 10–15 seconds
Browser tab freezes temporarily
Workflow sometimes succeeds, sometimes fails
Laptop fan turns on loudly
Results appear only after a long delay

These usually mean the workflow is doing too much.

Recommended Workflow Structure

A fast workflow usually looks like this:

flowchart TD
    A[Trigger] --> B[Wait for Page Ready]
    B --> C[Extract Only Needed Data]
    C --> D[Optional AI or Processing]
    D --> E[Result or Action]

If your workflow is much more complex, consider simplifying it.

Performance Best Practices

Prefer visible text over raw HTML
Avoid extracting entire pages
Add wait steps instead of retries
Limit AI input size
Test workflows on real pages
Keep workflows focused on one task

When Performance Is Still an Issue

If the workflow is still slow:

Test it on a simpler page
Disable other extensions temporarily
Split one large workflow into two smaller ones
Look for a similar workflow in the marketplace

See: