AI Automation Demo
Live AI automations showcasing real-world business, knowledge, and decision-support use cases.
About this Demo
The demo use cases are described below to give you a clear idea of what is possible. Only few sample use cases are chosen for completing demo session within a reasonable time. Your AI automation requirement is not restricted by these sample uses cases.
This is a guided (supervised) demo, designed to be most effective when explained live. During the session, I walk you through each use case, explain the underlying concepts can be adapted to your specific business needs. I also address your questions and explore variations in real time.
For this reason, running the demo independently may not provide the full value or context. If the idea resonates you, please submit a Request for Demo, and I will be happy to schedule a personalized walkthrough at a convenient time.
Do you have some AI automation idea in mind for your business or product? Interested in building them ?
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Image Generator
What This Automation Does:
This automation powers an AI-driven image generation app where users can describe an idea in natural language and instantly receive a generated image.
The workflow connects a user-friendly front-end (built with Lovable App Interface) to an AI image generation model, handling prompt interpretation, image creation, and response delivery seamlessly. It demonstrates how AI can be embedded into modern applications to transform creative ideas into visual content.
What You Can Try in the Demo:
- Enter a creative idea or description for an image
- Generate AI-created images based on your prompt
- Experiment with different prompts to see how image outputs change
- Experience how a front-end app integrates with AI image generation in real time
Inputs:
- Image description or creative prompt entered via the Lovable app interface
Outputs:
- AI-generated image rendered directly in the application interface
- Fast, visually rich responses based on the provided prompt
How the App Works
- Accepts natural-language image prompts from the user interface
- Uses AI models to generate images based on prompt interpretation
- Returns generated visuals directly to the front-end app
🔒Demo Access Required
Disclaimer: Image quality and style depend on the prompt provided.
Social Media Post Generator
What This Automation Does:
This automation automatically generates social media post content from the latest video published on a user’s YouTube channel.
The AI agent identifies the most recent video, analyzes its content, and creates ready-to-use social media post text—eliminating the need for manual copying, writing, or prompt preparation. The generated posts are stored centrally, making them easy to review, edit, and publish.
What You Can Try in the Demo:
- Trigger the automation to process the latest video from a YouTube channel
- See how AI extracts the core message from the video
- Review auto-generated social media post content without providing any manual input
- Observe how the workflow runs end-to-end with minimal user interaction
Inputs:
- YouTube channel reference (preconfigured in the automation)
- (No manual input required during the demo)
Outputs:
- AI-generated social media post text based on the latest YouTube video
- Automatically written entries in a Google Sheet for easy review and reuse
- Structured content ready for publishing across social platforms
How the AI Works
- Identifies the latest video from a configured YouTube channel
- Analyzes the video content to extract key themes and messaging
- Uses AI to generate concise, platform-ready social media posts
- Stores the generated content in Google Sheets for review and distribution
🔒Demo Access Required
Disclaimer: This demo generates draft social media content automatically. Users should review and edit posts before publishing.
Multimodal Learning Assistant
What This Automation Does:
This Multimodal AI Learning Assistant enables educators and learners to interact with an AI agent using text, voice, and images.
It supports inclusive and adaptive learning by responding in the same modality as the input—text responses for written questions, audio responses for spoken questions, and clear explanations for images.
The assistant is designed to support diverse learning needs, especially in environments where learners benefit from visual, auditory, or conversational engagement.
It helps teachers and caregivers generate learning content, explain concepts, and reinforce understanding in a flexible and accessible manner.
What You Can Try in the Demo:
- Ask a question using text and receive a clear, structured text response
- Ask a question using voice and receive an audio reply from the AI assistant
- Upload or share an image and receive a descriptive explanation of what the image shows
- Observe how the assistant adapts its response style based on the input modality
- Explore how multimodal interaction can support different learning preferences
Inputs:
- Text message submitted via Telegram chat
- Voice message recorded and sent via Telegram
- Image shared through Telegram interface
Outputs:
- Text-based explanations for written questions
- Audio responses for spoken queries
- Clear, contextual descriptions of images
- Educationally aligned explanations suitable for teaching and learning support
How this AI Assistant Works
- The user interacts with the AI Assistant through a Telegram chat, using text, voice, or image.
- For a given question in text, the agent responds in text. The question could be on any topic.
- For a given question in voice, the agent responds in a audio file. The question could be on any topic.
- For a given image, the AI agent explains the image in text.
🔒Demo Access Required
Disclaimer: This demo is intended for educational and assistive purposes only. It is designed to support teaching and learning activities and does not replace professional judgment or individualized educational planning.
Customer Feedback Sentiment Analysis & Auto-Response
What This Automation Does:
This workflow analyzes customer feedback using AI, classifies it as positive or negative, automatically logs it into Google Sheets, and sends a personalized response email based on sentiment.
What You Can Try in the Demo:
- Submit feedback via a web form
- Receive a personalized email instantly
- See how positive vs negative feedback follows different logic
Inputs:
- Your name
- Email - where you’ll receive the response
- Feedback, Your message
Outputs:
- Personalized email response
- Logged in Google Sheet automatically for analytics & reporting
How this AI works
- The user submits feedback through a simple web form with their name, email, and message.
- An AI model analyzes the feedback text to understand sentiment (positive or negative) and overall intent.
- Based on the detected sentiment, the workflow follows different response paths to generate an appropriate, personalized email reply.
- All feedback, along with its sentiment classification, is automatically stored in Google Sheets for reporting and analysis.
- The user receives a tailored email response within moments of submitting feedback.
🔒Demo Access Required
Disclaimer: This is a demo automation. Email responses are generated automatically using AI and are intended for demonstration purposes only. This workflow does not replace human customer support or guarantee sentiment accuracy in real-world scenarios.
Private Knowledge Assistant
What This Automation Does:
This AI Knowledge Assistant answers questions only from your private documents, ensuring responses are accurate, up-to-date, and free from hallucinations.
The AI does not rely on general internet knowledge—it responds strictly based on the information you upload. When documents are updated, the assistant automatically reflects the latest version, making it ideal for querying internal policies, product documentation, or organizational knowledge.
What You Can Try in the Demo:
- Ask questions in Chat and see how the AI responds strictly from the uploaded content
- Upload a document to create or update the AI’s knowledge base
Inputs:
- User questions related to the uploaded knowledge
- Private document (initial upload or revised version)
Outputs:
- Accurate, context-aware responses sourced only from the private knowledge base
- Clear refusal to answer questions that fall outside the provided documents, preventing incorrect or hallucinated responses
How the AI Assistant Works
- A document is uploaded to create or update the AI’s private knowledge base. This information becomes the only source the assistant is allowed to use.
- The uploaded content is processed and structured so the AI can retrieve only relevant information when questions are asked.
- When a user asks a question, the AI searches exclusively within the uploaded document to find matching information.
- The assistant generates answers strictly from the retrieved content, ensuring accuracy and relevance.
- If a question cannot be answered using the uploaded document, the AI clearly declines instead of guessing or hallucinating.
🔒Demo Access Required
Disclaimer: This is a demo of a Retrieval-Augmented Generation (RAG) system. Responses are limited strictly to the uploaded documents and may not represent complete or authoritative information. This demo is intended to showcase controlled, document-based AI behavior rather than general-purpose knowledge.
Day Trading Advisor
What This Automation Does:
This AI-powered Day Trading Advisor analyzes real-time market data for a given stock ticker and provides actionable trading insights.
The assistant evaluates price trends, technical indicators, and market signals to help users make informed intraday trading decisions. It delivers concise, easy-to-understand guidance instead of raw market data, making it suitable for quick decision-making scenarios.
What You Can Try in the Demo:
- Enter a stock ticker symbol (e.g., AAPL, TSLA, INFY)
- Receive AI-generated trading insights based on current market conditions
- Observe how the advisor explains trends, momentum, and potential trade bias
- Try different tickers to see how recommendations change dynamically
Inputs:
- Stock ticker symbol (exchange abbreviation)
- User message submitted via Telegram chat
Outputs:
- AI-generated day trading insights delivered via Telegram
- Clear explanation of market trend, momentum, and potential trade direction
- Context-aware guidance to support intraday trading decisions (not raw signals)
How the AI Assesses the Market
- Analyzes multi-timeframe candlestick data (1-min, 15-min, 30-min) for trend and momentum
- Uses recent historical data to detect short-term price behavior
- Incorporates market-related news to understand broader sentiment
- Combines technical signals and sentiment into a unified assessment
🔒Demo Access Required
Disclaimer: This demo is for educational and informational purposes only and does not constitute financial or investment advice.