LuxOps YachtOS — Built for Base44 #GiveItAGlow

BEFORE: Charter requests, crew scheduling, provisioning, compliance checks, and guest feedback scattered across WhatsApp threads, spreadsheets, and emails. Slow, error-prone, impossible to scale for €10K–€250K+ bookings. One expired certificate nearly grounded a €250K charter — caught only because someone happened to check manually.

AFTER: One AI system runs the entire operation.

Charter requests auto-routed with Gmail confirmation Crew assigned and scheduled across all 3 vessels Provisioning tracked per charter — Château Pétrus, Heli Air Monaco, Starlink, Michelin-star catering Agent 27 caught Captain Henri Laurent's expired ENG1 before any human did — €250K charter saved, insurance voided risk eliminated, Paris MOU detention prevented Post-trip feedback logged with sentiment scoring 4 automated workflows firing daily — zero human triggers

THE TECH BEHIND IT:

50 AI agents across 9 suites Applied multi-agentic · multi-swarm · multi-orchestration · multi-loop · multi-harness · semi-loop · meta-intelligence · multi-context

12 data models — vessels, crew, compliance, provisioning, charters, feedback 4 automated workflows — daily, zero human triggers Mistral + InvokeLLM orchestration Gmail + Hugging Face integrated Real operator. Port Hercule Monaco.

This is AI-first engineering in yacht operations.

THE BUILD PLAYBOOK:

Total build time: under 15 hours · Solo builder · Zero external team

PHASE 1 — DATA ARCHITECTURE 12 entity data models deployed:

CharterRequest — full_name, email, phone, start/end dates, budget, guests, experience type, special requests, status

Vessel — name, type, length, capacity, home port, flag state, status

Crew — full_name, role, vessel_id, STCW expiry, ENG1 expiry, medical expiry, nationality

Maintenance — vessel_id, system type, description, last service, next due, engineer, cost, status

Compliance — vessel_id, certificate type, issuing authority, issue/expiry dates, document URL

Feedback — charter_request_id, guest name, trip date, rating, sentiment, category, comment

Vendor — name, category, contact, SLA rating, last used, status

Partner — company, category, contact, region, priority, outreach status

Document — title, type, linked entity, expiry date, file URL, status

ProvisioningItem — charter_request_id, item name, quantity, supplier, due date, status

CrewSchedule — crew_id, vessel_id, charter_request_id, role, start/end dates

Incident — vessel_id, type, severity, description, resolution, cost

PHASE 2 — AGENT ARCHITECTURE 50 specialist AI agents across 9 operational suites:

Suite 1 — Ops & CX (Agents 1–8) Executive Assistant, Operations Assistant, Booking Assistant, Analytics Assistant, Complaint & CX Assistant, Client Experience Assistant, Multilingual Concierge, Vision & Asset Assistant

Suite 2 — Sourcing (Agents 9–13) Lead Finder, Yacht Fuel Finder, Yacht Talent Finder, Parts & Components Finder, Engineering & Build Support Finder

Suite 3 — Weather & Geospatial (Agents 14–17) Weather & Sea Conditions, Flood & Coastal Risk, Storm & Cyclone Watch, Route & Geospatial Intelligence

Suite 4 — Market Intelligence (Agents 18–24) Manufacturer Partnerships Finder, Dealer & Distributor Finder, Forward Deployment, Backward Deployment, Hybrid Deployment, Reverse Deployment, GTM Agent

Suite 5 — Yacht Operations (Agents 25–30) Operations Agent, System Management Agent, Crew Management Agent, Compliance Agent, Logistics Agent, Engine Agent

Suite 6 — Technical Intelligence (Agents 31–36) Engine Management & Monitor, Sensor Agent, Radar Agent, Computer Vision Agent, Object Detection Agent, Marine Species Detection Agent

Suite 7 — Advanced Intelligence (Agents 37–42) XR Agent, Deep Learning Model Agent, Diffusion Model Agent, Orchestrating Agent, Swarms Agent, Agentic Skills Agent

Suite 8 — Meta-Intelligence (Agents 43–48) Prompt Engineering Agent, Memory Agent, Handoff Agent, Reasoning Agent, Planning Agent, Evaluation Agent [1:14 pm, 12/7/2026] Base44 Superagent: Suite 9 — Knowledge & Documents (Agents 49–50) Knowledge Base Agent, Document Intelligence Agent

PHASE 3 — AUTOMATION LAYER 4 CNCF Serverless Workflow v1.0 automations deployed:

Daily Executive Brief — 8AM Monaco time

Complaint & CX Response — 9AM Monaco time

Weekly Analytics Report — 8AM every Monday

Monthly CX Highlights — 8AM 1st of every month

PHASE 4 — INTEGRATIONS Gmail · Hugging Face · Google Analytics · Supabase · OpenRouter · InvokeLLM · CNCF SWF v1.0

PHASE 5 — TECH STACK Platform: Base44 Frontend: React + Tailwind CSS Design system: #0a0a1a background · Space Grotesk headings · JetBrains Mono data · Electric blue #00d4ff · Gold #ffd700 · Glassmorphism · Particle animations · 60fps cinematic motion AI orchestration: Mistral 7B via OpenRouter · InvokeLLM fallback Workflow engine: CNCF Serverless Workflow v1.0 Database: 12 JSON schema entity models Integrations: Gmail API · Hugging Face Inference API · Google Analytics · Supabase

Live app: https://app.base44.com/apps/6a4d33dd9f0ba5a845a5e7c6

Presenting at Monaco Yacht Show Sep 23–26 2026

Open to join immediately — full-time remote roles in AI-first systems engineering, yacht, offshore, and maritime industry. Monaco · Bahrain · Kuwait · Global remote. DM me today.

#LuxOps #Monaco #Base44 #GiveItAGlow #AIAgents #BuildInPublic #MaritimeAI #OpenToWork