I design autonomous systems that handle inbound leads, voice screening, and complex API integrations, so businesses stop losing time and leads to manual follow-up.
Turn cold property inquiries, Zillow/Meta form fills, and inbound phone calls into pre-qualified, booked showings in under 60 seconds — 24/7/365.
Responds immediately to incoming buyer/seller leads from Zillow, Realtor.com, Meta ads, and website webhooks. Gathers budget, timeframe, pre-approval status, and target zip codes.
Low-latency conversational voice agent (Vapi/Retell) answers property inquiries, answers listing FAQs with strict parameters, and books private tours straight into agent calendars.
Dispatches automated post-showing SMS surveys, compiles buyer feedback into clean seller summaries, and automates listing onboarding workflows without manual data entry.
I focus on three core disciplines within the AI and automation space:
I build intelligent conversational agents that interact with incoming site visitors, qualify prospects based on intent and budget, and route ready buyers straight to a calendar or CRM.
I design low-latency voice bots using tools like Vapi, Retell, and ElevenLabs to handle inbound phone screening calls, answer questions, and schedule appointment slots.
I engineer robust self-hosted and cloud n8n workflows that connect CRMs, webhooks, databases, messaging apps, and custom APIs without manual intervention.
Production-ready system architectures engineered to qualify prospects, handle inbound voice calls, and automate multi-app operations.
An automated n8n pipeline that receives incoming webform submissions, uses an LLM to evaluate lead fit against defined criteria, updates HubSpot CRM, and alerts Slack.
A custom Vapi voice agent designed to answer phone calls, ask pre-screening questions, check live calendar availability, and book appointments automatically.
A multi-app automation triggered by Stripe checkout events to automatically provision client Google Drive folders, format welcome notes, and update project trackers.
My 4-step framework for turning complex requirements into resilient automated workflows.
Map out the exact manual bottleneck, data inputs, API endpoints, and desired end outcomes before writing any code or prompts.
Draft strict LLM system prompts, define JSON schema structures, set up error fallbacks, and design the n8n logic flowchart.
Connect webhooks and APIs, test edge-case payloads, verify voice latency, and ensure strict input/output validation.
Deploy to production, configure execution logging, set up error alerts, and refine agent performance over time.
I build AI agent systems — lead qualification bots, voice screening agents, and n8n-powered automations — using tools like OpenAI, Claude, Vapi, and n8n.
My focus isn't just making something that looks good in a demo — it's making sure it holds up under real, messy inputs: incomplete forms, unexpected phone responses, edge-case data. Every system I design goes through structured testing against those edge cases before I call it done.
I'm currently taking on new builds and would love to show you exactly how one of these systems would work for your business — happy to walk through the logic, prompts, and architecture live.
Have a project in mind, want to explore a custom AI pilot, or discuss automation? Reach out directly below.
Feel free to reach out anytime. I respond to all inquiries within 24 hours.