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Explore real-world examples of how teams are using Artifactuse to build AI products that go beyond simple chat interfaces.

AI Design Assistant

Design me a YouTube thumbnail

Your users describe what they want. The AI generates it in the canvas editor. They tweak colors, add text, and export as PNG.
1

User describes their vision

“Create a YouTube thumbnail for my cooking video about pasta recipes”
2

AI generates in Canvas Editor

Artifactuse renders an interactive canvas with the generated design
3

User customizes

Adjust colors, move elements, change text, resize
4

Export

Download as PNG, JPG, or SVG
Artifacts used: Canvas Editor, Social Previews

Content Marketing Tool

Create a 10-second intro for my podcast

The AI builds a video with animated titles, transitions, and brand colors. Users preview it, adjust timing, and export.
1

User provides brand details

“My podcast is called ‘Tech Today’ - use blue and white colors”
2

AI generates video

Artifactuse renders a timeline-based video editor with the intro
3

User refines

Adjust timing, change transitions, modify text animations
4

Export

Download as MP4 or GIF
Artifacts used: Video Editor, Canvas Editor

Code Tutoring Platform

Teach me how sorting algorithms work

The AI explains bubble sort, then runs it live. Students see console output, modify code, and compare solutions.
1

Student asks a question

“Can you show me how bubble sort works?”
2

AI explains with live code

Artifactuse renders executable code with visualization
3

Student experiments

Modify the array, change the algorithm, see results instantly
4

Compare solutions

View side-by-side diff of different sorting approaches
Artifacts used: Code Runtime, Code Preview
// Example: Bubble Sort Visualization
function bubbleSort(arr) {
  const n = arr.length;
  for (let i = 0; i < n - 1; i++) {
    for (let j = 0; j < n - i - 1; j++) {
      if (arr[j] > arr[j + 1]) {
        [arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];
      }
    }
  }
  return arr;
}

console.log(bubbleSort([64, 34, 25, 12, 22, 11, 90]));
// Output: [11, 12, 22, 25, 34, 64, 90]

Data Analysis Copilot

Analyze this CSV and find trends

Users upload data. The AI writes Python, executes it, and returns visualizations. JSON viewer for raw data exploration.
1

User uploads data

Drag and drop a CSV file into the chat
2

AI analyzes

Artifactuse executes Python code to process the data
3

Visualize results

Interactive charts and graphs rendered inline
4

Explore raw data

JSON tree viewer for drilling into specific data points
Artifacts used: Code Runtime (Python), JSON Viewer
# Example: Data Analysis with Pandas
import pandas as pd

# Load and analyze
df = pd.read_csv('sales_data.csv')

# Find trends
monthly_sales = df.groupby('month')['revenue'].sum()
top_products = df.groupby('product')['units'].sum().nlargest(5)

print(f"Total Revenue: ${df['revenue'].sum():,.2f}")
print(f"Best Month: {monthly_sales.idxmax()}")

Customer Support Agent

I need to update my billing info

The AI presents an inline form. User fills it out and submits. Data flows back to the AI for processing.
1

User makes a request

“I need to change my credit card on file”
2

AI presents a form

Secure, inline form rendered in the conversation
3

User submits

Form data is validated and submitted
4

AI confirms

Confirmation message with updated details
Artifacts used: Forms, Inline Artifacts

Social Media Manager

Draft a LinkedIn post announcing our funding

The AI writes the post and shows a pixel-perfect preview. Users see exactly how it’ll look before publishing.
1

User describes the announcement

“We just raised $5M Series A, announce it professionally”
2

AI drafts the post

Generates copy optimized for LinkedIn engagement
3

Preview

Pixel-perfect LinkedIn post preview with your profile
4

Refine and copy

Edit the text, then copy to clipboard for posting
Artifacts used: Social Previews, Forms

Interactive Documentation

Show me how to use the useEffect hook

Documentation that comes alive. Users read explanations, see live code examples, and experiment in real-time.
1

User asks about a concept

“How does useEffect work in React?”
2

AI explains with examples

Live, editable React components demonstrating the concept
3

User experiments

Modify the code and see changes instantly
4

Save snippets

Copy working code to their project
Artifacts used: Code Preview (React), Code Runtime
// Example: Interactive useEffect Demo
import { useState, useEffect } from 'react';

export default function Timer() {
  const [seconds, setSeconds] = useState(0);

  useEffect(() => {
    const interval = setInterval(() => {
      setSeconds(s => s + 1);
    }, 1000);

    // Cleanup on unmount
    return () => clearInterval(interval);
  }, []);

  return <div>Seconds: {seconds}</div>;
}

Quick Reference


Build Your Own

Ready to create experiences like these? Start with our quickstart guide:

Get Started in 5 Minutes

Install the SDK, configure your AI, and render your first artifact.