Our Projects

Automated Content Creation

This multi-stage automation pulls data from the Google Trends RSS feed, segments the high volume trending terms, creates a newscast-style script, and then creates an AI generated Avatar Video via HeyGen for use on YouTube, TikTok, etc.

Voice Agent Automated Lead Follow-Up System

Voice-agent automated prospect follow-up system. When a new lead arrives from a website form, the system searches the company website of the user, summarizes, and if it is a qualified lead, the voice agent then calls the prospect to gather additional information. If the potential customer desires, the data from the voice call can then be routed to create a proposal based on pre-defined set of rules to be sent out to the customer. If no answer, an email is sent to the lead with a link to schedule an appointment with sales.

Natural Language SQL Query Tool

This is a tool created to talk to a SQL database using natural language through a chat interface. The tool automatically connects to the database, creates the SQL query for the user, and returns the results to a Google Sheet. No more wrestling with syntax and non-descript errors for non-experts. This particular example queried the BigQuery Google Trends database, which contains over 200 million rows of data, and then filtered out personal and celebrity names to return only potential trending terms of interest

Web Application

AI-powered web app combining Lovable for the user interface and n8n as the backend. A virtual fitting room that allows the user to screenshot clothing that they are interested in while shopping online. Upload an image of themself and virtually try on the outfit.
Since retailers tend to use models that wear small sizes, the app also includes a Resizing Room where the user can change the clothing to their size prior to trying them on allowing the user to see how the outfit looks on a normal-sized individual.

You can see it in action by Clicking Here.