Public architecture and implementation notes for Boardroom / Cortex OS, an AI-native operations platform and business memory layer.
This repository is intentionally a case study, not the private application codebase.
Boardroom/Cortex is designed as a reusable operating foundation for businesses that need better visibility across customers, workflows, decisions, follow-ups, and execution.
The goal is to study how a business actually works, identify where information gets lost, and build a practical operating system that helps the team run with more clarity.
Boardroom / Cortex OS
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| shared intelligence and workflow architecture
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Industry-specific implementations
Many small businesses run on fragmented systems:
- customer information in texts, calls, paper notes, and memory
- follow-ups that depend on one person remembering
- photos and documents scattered across devices
- scheduling and service status tracked manually
- operational knowledge that is hard to search or reuse
Boardroom/Cortex is my attempt to turn that messy operational reality into a structured system.
The shared platform is built around these concepts:
- Business memory - persistent context about customers, jobs, decisions, and operational knowledge
- Workflow engine - repeatable steps for intake, follow-up, scheduling, service tracking, and execution
- Customer activity layer - notes, interactions, status, and next actions
- Knowledge organization - service details, operational procedures, and business-specific context
- Execution visibility - what is active, what is blocked, what needs follow-up
The same foundation can be adapted to different operating environments. The active first vertical is Zakar; Mavrik remains preserved proof that the platform pattern can support a focused service workflow.
Dealership salesperson assistant for sales professionals who need faster customer communication without losing personal voice, follow-up discipline, or inventory accuracy.
Focus areas:
- lead memory
- follow-up queues
- reviewed AI-drafted messages
- salesperson voice preservation
- inventory accuracy boundaries
- human escalation for low-confidence cases
Preserved aircraft-detailing implementation for Boardroom/Cortex. This is no longer the main build lane, but it remains useful proof of the shared platform pattern.
Focus areas:
- customer intake
- aircraft records
- quote workflow
- accepted quote state
- service next action
Restoration-focused implementation developed after studying how information moved through calls, text messages, photos, and paper-based workflows inside my older brother's water mitigation business.
Focus areas:
- centralized job tracking
- customer management
- photo documentation
- project visibility
- follow-up execution
- Study the real workflow before designing the system.
- Identify where information gets lost or delayed.
- Map the core entities: customers, jobs, leads, notes, files, appointments, and follow-ups.
- Build the smallest useful operating layer.
- Adapt the same foundation to the business context instead of starting from scratch every time.
This project is not just about making dashboards. It is about learning how to help real people adopt AI and software inside imperfect operating environments.
That requires:
- listening to users
- translating messy work into structured systems
- documenting workflows clearly
- supporting adoption
- building tools that stay useful after the first demo
- Claude Code
- ChatGPT
- OpenAI Codex
- Cursor
- GitHub
- Supabase
- Vercel
- SQL/API fundamentals
- workflow design
- documentation
- customer success and implementation thinking
- Portfolio: carlos-castro-portfolio-alpha.vercel.app
- GitHub profile: github.com/CarlosCastroWrk