Selected Work

Automation systems with the decisions, data flow, and handoff explained.

Real project write-ups covering the operational problem, system architecture, safeguards, and practical value—not just a gallery of workflow screenshots.

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Overview

Selected automation projects

A closer look at how each system moves from trigger to verified operational handoff.

Automation system

Automated Real Estate Lead Qualification & Outbound Calling System

A three-workflow closed-loop system for real estate lead qualification: scheduled intake normalizes and deduplicates leads before dispatching authenticated outbound AI voice calls via Retell, inbound caller lookup matches phone numbers back to lead records, and post-call webhook processing analyzes transcripts, updates records, and routes qualified opportunities to human acquisitions handoff — with API response validation, failure routing, and monitoring throughout.

Retell AIClaude/OpenAIGoogle SheetsGoogle DocsGoogle DriveWebhookn8n

Challenge: Raw property leads needed consistent validation, qualification, calling, and follow-up without losing context between tools.
System architecture: Scheduled intake normalizes and deduplicates records, authenticated Retell calls handle outbound conversations, and post-call webhooks analyze transcripts before routing qualified opportunities to a human acquisitions queue.
Delivery value: The build turns disconnected lead tasks into a monitored flow with explicit validation, failure paths, and a clear human handoff.

Automation system

Wholesaling Buyer Intelligence

n8n deal-intake system that geocodes property addresses, checks a 15-day address cache, looks up property and buyer data, skip-traces LLC and person routes, normalizes contacts, and uses AI to rank the best cash buyers into Google Sheets.

n8nGoogle Geocoding APIBatchDataSkip SherpaOpenAI APIGoogle Sheets

Challenge: Buyer research required several location, property, skip-trace, and ranking steps that were difficult to repeat consistently by hand.
System architecture: An n8n workflow geocodes the property, checks a reusable address cache, gathers property and buyer data, normalizes LLC and person contacts, then uses AI-assisted ranking to prepare a focused buyer list.
Delivery value: The system keeps data provenance visible while reducing repetitive research and presenting the team with a cleaner shortlist for review.

Automation system

Facebook Messenger AI Agent

Webhook-based Messenger agent that filters events, fetches context, generates AI replies, triggers downstream actions via HTTP, and responds back through the webhook flow.

n8nWebhooksAI AgentHTTP RequestGemini Chat ModelMemory

Challenge: Incoming Messenger conversations needed fast, context-aware replies without allowing an AI response step to control the entire workflow.
System architecture: Webhook events are filtered and enriched with conversation context, an AI agent drafts the response, controlled HTTP actions trigger downstream work, and the final message returns through the Messenger flow.
Delivery value: Deterministic workflow steps retain control of routing and integrations while AI handles the language-heavy part of the interaction.

From proof to delivery

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