Built an AI-powered client onboarding workflow that streamlines the entire onboarding process from form submission to client communication. The system collects client information through forms, processes and validates data using an AI agent powered by GPT-4o, stores records in Google Sheets, and automates personalized email communications through Gmail. Custom JavaScript was used to handle data transformation, validation, and workflow logic, creating a seamless and efficient onboarding experience.
Tools: n8n, OpenAI GPT-4o, Google Sheets, Gmail, Forms, JavaScript
Skills: AI Automation, Workflow Automation, Client Onboarding, AI Agents, n8n, OpenAI Integration, Google Workspace Automation, API Integration, Process Automation, JavaScript Development
Think about how much time you spend every week doing the same things.
Replying to customer emails.
Following up with potential clients.
Updating spreadsheets.
Managing leads.
Moving information between applications.
Sending reminders and notifications.
A research-assistant project exploring how AI applications can retrieve information and improve the quality of their responses through a self-correction workflow.
Project focus
Python-based AI application development.
Retrieval and research workflow design.
Improving answer reliability through evaluation and correction.
Self-correcting retrieval is the upgrade RAG has needed, Daniel. Most systems stop at the first retrieval and hope for the best, so building evaluation and correction into the workflow is a real reliability win. The live telemetry dashboard makes it feel production-ready.