See the System
See What Gets Deployed.
Every system listed here is live and running. Built by a proprietary AI production system with multi-layer architecture and automated verification protocols. This is not a pitch deck. This is production output.
Production Numbers
Not Projections. Actuals.
These numbers come from the live codebase. Every component is deployed. Every test runs on every commit. Every migration is applied to production databases.
128
Components
UI elements, API handlers, and AI modules deployed across production systems.
119
API Routes
Authenticated endpoints handling intake, scoring, generation, deployment, and monitoring.
2,922
Production Tests
Unit, integration, and governance tests running on every commit before code ships.
86
Migrations Applied
Schema versions tracked, applied, and verified across staging and production databases. Zero failures.
What Gets Deployed
Complete Systems. Not Landing Pages.
When you bring a client into the pipeline, this is what gets built and handed over. Every system is production-grade, monitored, and documented.
Client Portals
Authenticated dashboards where clients track project status, review deliverables, approve milestones, and communicate with the production team.
AI Assistants
Conversational agents handling intake, quoting, scheduling, and follow-up. Trained on client data. Running 24/7 without human supervision.
Booking Engines
Automated scheduling systems with availability sync, confirmation sequences, reminder chains, and no-show recovery workflows.
CRM Dashboards
Unified views of every lead, quote, booking, and review. Pipeline stages, conversion metrics, and activity timelines in one place.
Reputation Systems
Automated review request sequences triggered after service completion. Google review generation on autopilot with sentiment monitoring.
Automated Follow-Up
Multi-channel sequences for missed calls, abandoned quotes, post-service check-ins, and re-engagement campaigns. Zero manual effort.
Beyond Client Builds
The System Produces Across Domains.
Client systems are one output. The same production system has also produced a published book, a live trading system, and a full marketing pipeline. The architecture is domain-agnostic. The standards are universal.
Published Book (65,000 Words)
A full manuscript produced through our content production layer. 16 chapters, chiastic structure, 9.6 Book Strength Assessment score. Written, edited, and production-ready.
Algorithmic Trading System
Live trading system with regime detection, Kelly sizing, multi-check risk verification, position health monitoring, and an AI learning loop. Running in production.
Marketing Pipeline (59 Prospect Pages)
Personalized preview pages generated per prospect. Each page includes a working title, chapter concepts, sample prose, and a revenue architecture. All deployed and tracked.
One production system. Multiple verification layers. Every output held to the same standards, the same checkpoints, the same test infrastructure.
Wingman6 Client Portal
Full agency operations platform with event-sourced pipeline, admin command center, client portal, guided demo system, and 16-step delivery workflow.
Engagement Type
Full Platform Build
Delivery Timeline
3 weeks
Scope
Agency operations platform with dual-interface architecture (admin + client portal)
wingman6.com
16
Pipeline Steps
50+
API Routes
8
Admin Sections
9
Migrations
Delivery Metrics
21 days
Time to Production
From scope lock to deployed, functional platform
50+ routes
API Surface
Admin, client, auth, cron, and webhook endpoints
16 steps
State Machine Coverage
Lead intake through project handoff, each with API + UI
9
Database Migrations
Schema, RLS policies, indexes, seed data
2 flows
Auth Separation
JWT admin sessions + client sessions with isolated data access
Append-only
Event Architecture
Canonical event log with outbox pattern and dead-letter queue
Life Engine Portal
Full-stack client portal with AI-powered book production, 7 calibrated analysis tools, and a protected admin operating layer.
Engagement Type
Full Platform Build
Delivery Timeline
6 weeks
Scope
AI-powered book production portal with embedded co-author agent and 7 calibrated analysis tools
lifeengine.com
1,073
Tests
110
API Routes
125
Components
36
Migrations
Delivery Metrics
1,073 tests
Automated Test Coverage
Components, API routes, Zod schemas, governance invariants, E2E
50 Zod schemas
Runtime Validation
Every API boundary validated with 81 dedicated schema tests
6-stage gate
CI Pipeline
Lint, typecheck, test, governance, backup verify, E2E
12 enforced
Governance Invariants
Build-time rules that block deployment on architectural violations
7 calibrated
AI Analysis Tools
4 with Fix pipelines, 3 display-only, all with scored rubrics
8 stages
Production Pipeline
Discovery through Delivery with sequential unlock gating
Autonomous Trading Engine
Autonomous regime-aware algorithmic trading system with 22 services, 25 database models, closed-loop learning, and 5 independent risk controls.
Engagement Type
Production System
Delivery Timeline
4 weeks
Scope
Autonomous regime-aware trading system with closed-loop learning and 5 independent risk controls
Autonomous Trading Engine
22
Services
25
DB Models
56
Python Modules
5
Risk Controls
Delivery Metrics
22 services
Service Architecture
Independent modules wired at startup through central registry
25 tables, 3 layers
Data Model
Core (12), Learning (6), Closed-Loop (7) with TimescaleDB hypertables
5 independent
Risk Controls
Drawdown limit, per-trade cap, position count, sector ceiling, event windows
2 regime-aware
Strategy System
Opening Range Breakout + Mean Reversion with champion-challenger promotion
Daily review cycle
AI Integration
Sentiment scoring (0-100), structured reflection, full API audit trail
128 tests
Test Coverage
Risk gate, strategy signals, closed-loop learning, parameter optimization
The System Is Running.
Everything on this page is deployed and operational. If you work with businesses that need this level of infrastructure, become a partner and see it firsthand.