Example Engagements
Real workflow automations we've designed and deployed. From client onboarding to inventory sync to autonomous lead generation, these are systems built to run.
Stromation
Real Estate Lead Generation
Internal Build | Live Since 2025
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DFW Real Estate Lead Gen System
Problem
We needed to prove that a fully autonomous lead generation system could be built, deployed, and left running with zero daily intervention. The DFW real estate market was the testing ground: 33 cities, thousands of FSBO listings going uncontacted, and no affordable off-the-shelf solution that could handle SEO, lead capture, AI qualification, SMS outreach, and voicemail processing in one system.
What We Built
An 85+ page SEO site covering 33 DFW city landing pages, backed by a 12-workflow n8n automation engine, Supabase database, and integrated AI across the entire pipeline.
- 85+ SEO-optimized pages with 33 city landing pages
- AI lead qualification & scoring (GPT-4o)
- AI reply handler with bounce filtering
- Twilio SMS outreach & inbound handling
- Twilio voicemail capture with Whisper transcription
- FSBO scraper (Craigslist) with contact extraction
- Twitter auto-poster for market content
- Smart agent routing & referral emails
- Blog auto-publisher
- Lead scoring (0–100 scale)
- Supabase CRM with full lead lifecycle tracking
- GA4 conversion tracking across all form pages
Workflow Map
Landing page form → Webhook capture → Supabase lead record → GPT-4o qualification → Lead scoring (0–100) → Agent routing → Automated follow-up email → Reply handling → Appointment booking. In parallel: Craigslist FSBO scraper → Contact extraction → SMS outreach via Twilio → Reply monitoring. Voicemail → Whisper transcription → Lead creation. Twitter auto-poster runs on schedule for market visibility.
85+
Pages Deployed
12
Active Workflows
33
DFW Cities
24/7
Autonomous Operation
Result
Fully autonomous lead generation system running 24/7 with zero daily intervention. 85+ SEO-optimized pages live and indexed. 12 n8n workflows handling lead capture, AI qualification, SMS/voicemail processing, FSBO scraping, and automated outreach. Supabase database managing the full lead lifecycle from first touch to agent handoff. The system was designed, built, and deployed in under 3 days.
Stack
n8n (12 workflows), Supabase (database + auth), OpenAI GPT-4o (qualification + emails), Whisper (voice transcription), Twilio (SMS + voicemail), GitHub Pages (85+ page SEO site), GA4 (analytics), Twitter API (auto-posting), Python (FSBO scraper)
Timeline
Designed, built, and deployed in under 3 days. Live and running autonomously since 2025.
The Brass Effect
IT & Security Services
Client Build | Live 2026
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Automated Job Bidding System
Problem
The Brass Effect is a veteran-owned IT, security, and data cabling company in Frisco, TX with 15+ years in business. Bidding on government contracts and commercial projects was eating up hours every week. Monitoring platforms for new opportunities, reviewing requirements, preparing bid documents, and submitting on time meant constant manual effort and missed deadlines on opportunities that were a perfect fit.
What We Built
An automated bidding pipeline that monitors job platforms, matches opportunities to The Brass Effect's service capabilities, generates bid proposals, and submits them with minimal human intervention.
- Automated monitoring of government and commercial bid platforms
- AI-powered opportunity matching based on service capabilities, certifications (HUB, DBE, MBE, veteran-owned), and project scope
- Automatic bid document generation with company profile, certifications, and pricing templates
- Qualification scoring to prioritize high-fit opportunities
- Instant SMS and email alerts for high-priority bids requiring review
- Submission tracking with deadline monitoring and follow-up reminders
- Dashboard for bid pipeline visibility and win rate tracking
Workflow Map
Platform scraper (scheduled) → New opportunity detection → AI qualification scoring (service fit + certification match + budget range) → High-score alerts via SMS/email → Auto-generate bid document from templates → Review queue for owner approval → Automated submission → Deadline tracking → Follow-up reminders → Pipeline dashboard update.
10x
More Bids Submitted
15+
Hrs/Week Saved
0
Missed Deadlines
24/7
Opportunity Monitoring
Result
The Brass Effect now bids on 10x more opportunities without adding staff. The system catches every relevant posting across platforms, scores them for fit, and generates submission-ready bid packages. High-priority opportunities trigger instant alerts so Antonio can review and approve before the system submits. Zero missed deadlines since deployment, with full pipeline visibility through a live dashboard.
Stack
n8n (workflow engine), OpenAI GPT-4o (opportunity matching + bid generation), Python (platform scrapers), Twilio (SMS alerts), Google Sheets (pipeline tracker), Supabase (bid database), Gmail (notifications + submissions)
Timeline
Designed and deployed in 2 weeks.
BidEngine
Construction Estimating SaaS
Internal Product | Live 2026
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AI-Powered Bid Estimating Platform
Problem
Construction subcontractors spend 4-8 hours manually estimating each bid. They miss deadlines, can't bid on enough projects, and pay $60-80K/year for a human estimator. Small shops without a dedicated estimator lose opportunities daily because the owner can't estimate and run the business at the same time.
What We Built
A complete AI estimating platform that scans construction blueprints, counts devices and fixtures, and generates professional quotes with real vendor part numbers in under 5 minutes.
- AI blueprint scanning using Claude Vision -- reads drawing indexes, identifies trade-specific sheets, counts every device
- Component expansion with real vendor part numbers (Panduit, i-Pro, Bosch, HID)
- Professional PDF quotes matching industry format (scope narrative, qualifications, itemized pricing, purchase authorization)
- Auto-monitoring PlanHub and ConstructConnect for new bid opportunities every 30 minutes
- Bid pipeline dashboard with deadline tracking and win/loss analytics
- File caching and analysis caching to minimize API costs
- Multi-PDF aggregation -- combines device counts across multiple blueprint pages into one accurate quote
Workflow Map
PlanHub email alert → Bid Alert Parser (scope filter + dedup) → File Downloader (cached + PyPDF2 splitting) → Gemini index identification (free) → Claude Sonnet blueprint analysis → Device count aggregation → Auto Bidder component expansion → Watson-format quote HTML → PDF generation (html2pdf.app) → Email delivery → Pipeline dashboard.
5 min
Per Bid (vs 8 hrs)
8
Quotes Generated
$0.15
Cost Per Bid
98%
Cost Reduction
Result
Built and deployed in 3 days. First real client (The Brass Effect) generated 8 professional quotes totaling $500K+ in potential revenue from blueprint analysis. The system scans PlanHub automatically, downloads plans, splits large PDFs, uses AI to count devices on the correct sheets, and produces Watson-format proposals with vendor-specific part numbers. Currently supporting low-voltage, security, and AV trades with electrical and fire alarm coming soon.
Stack
n8n (orchestration), Claude Sonnet 4.6 (blueprint vision), Gemini 2.5 Flash (index scanning), GPT-4o (scope estimation), PlanHub API (bid discovery), html2pdf.app (PDF generation), Supabase (database), PyPDF2 (PDF splitting), Stripe (billing)
Timeline
Concept to production in 3 days. First real quotes generated on day 2.
Marketing Agency
Client Onboarding Automation
Example Build
Client Onboarding Automation
Problem
Every new client meant 4+ hours of manual setup: copying info into the project management tool, sending welcome emails, creating shared folders, building out task templates, and scheduling the kickoff call. Steps got missed, clients waited too long for access, and the ops team was buried in repetitive admin instead of doing actual work.
What We Built
A single n8n workflow triggered by a client intake form that handles the entire onboarding sequence automatically.
- Auto-creates project in ClickUp with task templates
- Sends branded welcome email sequence
- Sets up shared Google Drive folder with starter docs
- Schedules kickoff call via Calendly
- Notifies the assigned account manager
- Logs everything to a master client tracker
Workflow Map
Client intake form → Webhook trigger → ClickUp project creation (with task templates) → Google Drive folder setup → Welcome email sequence (3 emails over 48 hours) → Calendly scheduling link → Account manager notification → Client tracker update.
~12 min
Typical Onboarding
~4 hrs
Typical Savings
0
Missed Steps
Result
A build like this typically cuts onboarding from hours to minutes, eliminates missed steps, and frees up an entire day per week of ops time. New clients get access, welcome materials, and a scheduled kickoff within minutes of signing.
Stack
n8n (workflow engine), ClickUp (project management), Google Workspace (Drive + Gmail), Calendly (scheduling), Google Sheets (client tracker)
Timeline
Designed and deployed in 5 days.
E-commerce Store
Order & Inventory Sync
Example Build
Order & Inventory Sync
Problem
Inventory lived in two places: Shopify for online sales and a Google Sheets spreadsheet for wholesale orders. Someone had to manually update both after every sale. When things got busy, counts drifted and customers ordered products that were already sold out. Overselling meant refunds, apology emails, and lost trust.
What We Built
A real-time sync between Shopify and Google Sheets with automated alerts and supplier communication.
- Real-time inventory sync between Shopify and Google Sheets
- Automatic stock level updates on every order
- Low-stock alerts via Slack when items drop below threshold
- Automated reorder emails to suppliers
- Daily inventory reconciliation report
- Error logging for failed sync attempts
Workflow Map
Shopify order webhook → Inventory count update in Google Sheets → Threshold check → If low stock: Slack alert + supplier reorder email. In parallel: Google Sheets wholesale update → Shopify inventory adjustment via API. Daily: Full reconciliation scan → Discrepancy report to Slack.
0
Expected Oversells
~6 hrs
Typical Weekly Savings
Real-time
Sync Speed
Result
This type of build eliminates overselling, saves 6+ hours per week on manual inventory updates, and catches reorder needs before stockouts happen. Automated supplier emails can cut reorder turnaround by days.
Stack
n8n (workflow engine), Shopify API (inventory + orders), Google Sheets (wholesale tracker), Slack (alerts), Gmail (supplier emails)
Timeline
Designed and deployed in 1 week.
Service Business
Lead Follow-Up Pipeline
Example Build
Lead Follow-Up Pipeline
Problem
Leads from the website contact form sat in a shared inbox for days. No one owned follow-up, and by the time someone responded, the prospect had already moved on. There was no tracking, no sequence, and no way to know which leads were slipping through. The owner estimated they were losing 3–4 qualified leads per week to slow response time alone.
What We Built
An automated lead capture and follow-up pipeline that responds instantly and nurtures over 7 days.
- Instant lead capture from website form to CRM
- Automated SMS + email response within 2 minutes
- AI-powered lead scoring using OpenAI
- 7-day follow-up email/SMS sequence
- Calendly meeting booking integration
- Lead status tracking and reporting
Workflow Map
Website form submission → n8n webhook → Google Sheets CRM entry → OpenAI lead scoring → Instant SMS (Twilio) + email response → 7-day drip sequence (Day 1, 3, 5, 7) → Calendly booking link in each touchpoint → Booking confirmation → Lead status update. High-score leads get flagged for immediate personal outreach.
< 2 min
Typical Response
30-40%
More Consultations
7 days
Auto Follow-Up
Result
A pipeline like this brings response time from days to under 2 minutes and typically increases booked consultations by 30-40%. Every lead gets a consistent follow-up sequence regardless of how busy the team is, and the owner gets full visibility into the pipeline.
Stack
n8n (workflow engine), Twilio (SMS), Google Sheets (CRM), Calendly (booking), OpenAI (lead scoring), Gmail (email sequences)
Timeline
Designed and deployed in 6 days.