// PROJECT_AUDIT_LOG
Production Systems & Case Studies
Explore live production systems engineered by Ferrowright Engineering — from offline-first inspection apps to voice AI platforms and environmental compliance tools.
Filter Specs:
// BUILD _ INDEXPINELIVE PRODUCTION SYSTEM
IndexPine — Autonomous SEO Automation & Agentic Publishing Platform
METRIC: 100% Autonomous Pipeline
[PROBLEM] Businesses struggled to scale organic traffic without expensive content teams, while traditional enterprise SEO tools provided complex dashboards that required manual research, drafting, and CMS publishing.
[APPROACH] Engineered a full-stack autonomous AI publishing platform completely on Firebase and Next.js (App Hosting, Cloud Functions, Firestore). Integrated Google Search Console APIs for gap discovery, multi-LLM orchestration for anti-slop drafting and real-time web citations, automated sitemap entity linking, and headless CMS webhooks (WordPress, Webflow, Notion).
[RESULT] Delivered a 'set-and-forget' SEO pipeline capable of continuous keyword discovery, generative content optimization (GEO), and direct publishing, reducing manual content operations cost by over 90%.
// BUILD _ TITLE5FLOWLIVE PRODUCTION SYSTEM
Title5Flow — Offline Field Inspection & PDF Compliance Platform
METRIC: 2.5h → 15m Field Latency
[PROBLEM] Massachusetts septic inspectors ('muddy boots' field engineers) lost hours typing paper forms by hand and suffered catastrophic input loss from app crashes in zero-connectivity field sites.
[APPROACH] Engineered an offline-first mobile/web application (Kotlin/Jetpack Compose, Room DB) featuring debounced per-keystroke autosave, per-field voice dictation with live audio waveforms, GPS timestamped photo addendums, and direct dual-storage official Title 5 PDF report generation. Built a Python data pipeline indexing certified state inspectors.
[RESULT] Reduced inspection report generation time from 2.5 hours to 15 minutes; 100% offline draft recovery; automated legal compliance reporting for inspectors across Massachusetts.
// SCALE _ SHIFTGUARDLIVE PRODUCTION SYSTEM
ShiftGuard — Automated Environmental Safety & Compliance System
METRIC: 24/7 Automated Safety Alerts
[PROBLEM] Outdoor workforce crews (construction, paving, sports leagues) faced severe heat index and air quality health risks without real-time site monitoring or verifiable OSHA inspection ledgers.
[APPROACH] Engineered a cloud-scheduled safety platform (Next.js, Firebase App Hosting, Cloud Functions, Resend) that polls EPA AirNow & National Weather Service APIs every 2 hours per job site, caches Census geocodes, sends instant crew-lead email alerts upon threshold breaches, and generates timestamped PDF compliance ledgers.
[RESULT] Continuous 24/7 automated environmental monitoring across active job sites, 0-second manual reporting lag during safety incidents, and 100% verifiable PDF inspection ledgers for audit compliance.
// BUILD _ ROLEPLAYERLIVE PRODUCTION SYSTEM
RolePlayer — Real-Time Conversational AI & Roleplay Platform
METRIC: Sub-Second Voice AI Latency
[PROBLEM] Individuals facing social anxiety, job interviews, salary negotiations, or difficult personal conversations lacked a realistic, low-latency environment to practice real human interactions before having them in real life.
[APPROACH] Engineered a Next.js interactive voice platform pairing multi-LLM persona orchestration (Pollinations.ai & Lightning AI OpenAI gateways) with Cartesia low-latency neural TTS. Built zero-friction anonymous authentication, dynamic persona difficulty scaling, daily token/voice character ceilings, and automated post-session performance debrief analytics.
[RESULT] Delivered sub-second real-time conversational voice turns, giving individuals a safe, judgment-free space to practice high-stakes conversations and receive actionable feedback scorecards.
// BUILD _ SEATSPRINTLIVE PRODUCTION SYSTEM
Seat Sprint Counselling — NEET & AYUSH Admission Counselling Platform
METRIC: 100+ Paid Signups via Razorpay
[PROBLEM] A NEET (MBBS) and AYUSH (BAMS) admission counselling practice was booking paid seats through a bare Google Form and manual UPI screenshots sent over WhatsApp — slow, easy to fake, and impossible to scale past a handful of students per intake.
[APPROACH] Built a Next.js marketing and application platform on Firebase Hosting with a Cloud Functions backend: the apply form creates a Razorpay order server-side, a signed Razorpay webhook verifies the payment before anything is recorded, and only confirmed paid submissions get emailed to the counsellors and mirrored into their existing Google Sheet.
[RESULT] 100+ students have completed live Razorpay payments through the platform. The founder reports the redesigned site and one-page apply-and-pay flow converts applicants noticeably faster than the old manual form-and-screenshot process.
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