Apply your AI knowledge by building practical applications with guided tutorials. Each project includes step-by-step instructions.
AI-powered email writing
Automated content creation
AI document analysis
Workflow optimization
Build an AI-powered email assistant that helps draft professional emails based on context and tone.
Your generated email will appear here
Configure the options above and click "Generate Email"
This email assistant uses AI to generate context-appropriate emails based on your inputs. It saves time on drafting routine communications.
2-3 hours for basic implementation
Add more features like template saving for extended projects
Create the basic HTML structure with input fields for email type, recipient, context, and tone. Style it with CSS for a clean interface.
Files to create: index.html, style.css, script.js
Set up the OpenAI API integration. Create a function that sends the user inputs to the API and receives the generated email text.
API Endpoint: OpenAI's ChatCompletion API
const response = await openai.createChatCompletion({
model: "gpt-3.5-turbo",
messages: [{role: "user", content: prompt}]
});
Create a function that constructs the prompt based on user inputs and formats the API response into a professional email structure.
Key logic: Prompt engineering, response parsing, HTML formatting
Implement clipboard functionality to copy the generated email and add options to save email templates for future use.
Features: Clipboard API, local storage, template management
Emails Generated
Time Saved
Available Templates
Build an AI tool that analyzes documents and articles to extract key points, generate summaries, and identify main themes.
Summary will appear here
Click "Generate Summary" to analyze the text
This tool uses natural language processing to analyze text documents, extract main ideas, and generate concise summaries.
4-5 hours for basic implementation
Add PDF parsing and API integration for extended projects
Create the text input interface and basic text processing functions for word counting, sentence splitting, and cleaning.
Key functions: Text preprocessing, tokenization, stop word removal
Build the core summarization logic using extractive or abstractive methods. Start with a simple frequency-based approach.
Algorithm options: TF-IDF, TextRank, or BERT-based models
Extend the summarizer to identify and extract key points, main themes, and important entities from the text.
Features: Named entity recognition, topic modeling, importance scoring
Allow users to customize summary length, detail level, and output format (paragraph, bullet points, etc.).
Customization options: Length slider, format toggle, detail level
Documents Summarized
Words Processed
Avg. Reduction
Build a personal automation system that connects different apps and services to streamline your workflow.
Choose what events should start your automation workflow.
New Email
Calendar Event
Time-Based
Webhook
When a new email arrives in your inbox
Analyze email content for urgency and topic
Categorize as Work, Personal, or Newsletter
Move to appropriate folder based on category
This automation builder helps create workflows that connect different apps and services, automating repetitive tasks.
5-6 hours for basic implementation
Add more integrations and complex logic for extended projects
Create the drag-and-drop interface for building automation workflows with trigger and action components.
UI components: Draggable elements, workflow canvas, step configuration
Add JavaScript functionality for dragging, dropping, and connecting workflow steps on the canvas.
Key features: Element dragging, connection lines, step ordering
Build the engine that executes workflows step by step, handling conditional logic and data passing between steps.
Engine features: Step execution, error handling, data persistence
Integrate with external services like Gmail, Calendar, and Slack to enable real automation capabilities.
Integrations: OAuth authentication, API calls, webhook handling
Workflows Created
Steps Configured
Time Saved
AI-powered email generation tool
Automated social content generation
AI document analysis and summarization
Workflow automation builder
You've successfully built 4 practical AI applications!
Social Media Content Creator
Build an AI tool that generates engaging social media posts for different platforms with hashtags and scheduling.
Select Platforms:
Twitter
LinkedIn
Instagram
Facebook
AI Assistant
@aigenerated · Just now
Your generated posts will appear here
About This Project
This tool creates platform-optimized social media content with appropriate hashtags, helping maintain a consistent online presence.
Key Features:
Technology Used:
Time to Build:
3-4 hours for basic implementation
Add scheduling and analytics for extended projects
Step-by-Step Tutorial
Step 1: Design the Interface
Create the UI with platform selection, topic input, and post preview areas. Design platform-specific post templates.
Design elements: Platform icons, post preview cards, hashtag display
Step 2: Implement Content Generation
Build the logic to generate platform-appropriate content. Each platform has different content requirements and character limits.
Key logic: Platform-specific prompts, character counting, hashtag generation
Step 3: Add Hashtag Functionality
Implement hashtag research and generation. Include trending hashtags and topic-specific tags for better reach.
Features: Hashtag suggestions, relevance scoring, copy functionality
Step 4: Build Scheduling System
Create a scheduling interface with calendar integration. Implement local storage to save scheduled posts.
Features: Date/time picker, recurring posts, notification system
Project Progress
Posts Generated
Platforms Supported
Hashtags Generated