DeBOS — The AI Business Operating System

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Inspiration

Small-business owners often run their companies across five or six disconnected applications. Customer information lives in one system, sales in another, accounting somewhere else, and important work still gets tracked through spreadsheets, messages, or memory.

I created DeBOS to bring those operations into one modular business platform.

DeBOS existed before OpenAI Build Week, so I did not build or present the entire platform as new. Instead, I used Build Week to see how quickly I could meaningfully extend an established product with Codex and GPT-5.6 in response to real business needs.

What I Built During Build Week

During Build Week, I significantly extended DeBOS in three areas.

Lightweight Storefront

Every DeBOS user already receives a business website. During Build Week, I added the ability to turn that website into a lightweight storefront for selling products, services, or both.

The goal was not to recreate a massive ecommerce platform. It was to give small businesses a storefront they could launch quickly, manage alongside the rest of their operations, and use without adding another complicated application.

Opportunity Builder and DeBOS Capture

I created an Opportunity Builder and a Chrome extension called DeBOS Capture.

Many service businesses still research potential customers manually and copy information between websites and CRM systems. DeBOS Capture allows a user to select a business directly from Yelp and send its structured information into an active DeBOS opportunity.

The user can review multiple prospects, assign them to team members, and convert selected businesses into leads. Those leads can then move through the complete DeBOS workflow—from opportunity to lead, quote, job, invoice, and customer—without repetitive data entry or disconnected tools.

Marketplace Operations

During Build Week, DeBOS also gained its first real user: GrooveSwap, a new vinyl-record marketplace.

DeBOS had previously been shaped primarily around service businesses, but it was always intended to be modular. GrooveSwap needed a different operating model, so I added marketplace-specific capabilities for:

• Managing prospective and active sellers
• Converting marketplace prospects into seller records
• Tracking marketplace sales
• Recording commissions and seller proceeds
• Supporting marketplace payouts and accounting
• Switching between service-business and marketplace-focused metrics

This transformed a real customer request into working product functionality within days.

How I Built It

DeBOS is a full-stack JavaScript application with a React frontend, Node.js backend, modular data stores, role-based access controls, business workflows, and dedicated application environments for individual organizations.

I used Codex with GPT-5.6 as an engineering collaborator throughout Build Week. It helped me:

• Explore and understand a large existing codebase
• Design new workflows that fit DeBOS’s modular architecture
• Implement connected frontend and backend functionality
• Extend permissions, navigation, and data-storage systems
• Refactor shared components instead of duplicating behavior
• Build and run automated tests for new business rules
• Diagnose integration and deployment problems
• Review edge cases and improve production readiness
• Iterate on the user experience after testing real workflows

Codex accelerated implementation, but the product direction, architecture, workflow decisions, and final review remained mine. I determined which customer problems to solve, how each workflow should behave, and how the new capabilities should fit into the larger DeBOS product.

Challenges

The greatest challenge was extending an established application without making it feel like several unrelated products.

A service contractor and a vinyl marketplace have different terminology, metrics, accounting flows, and operational priorities. I needed to introduce marketplace capabilities while preserving the workflows that service businesses rely on.

The Opportunity Builder introduced another challenge: transferring useful prospect information from an external website without creating a fragile or complicated workflow. The Chrome extension needed to identify the correct DeBOS opportunity, avoid duplicate captures, support multiple prospects, and provide a fallback when automatic capture was unavailable.

Time was also a major constraint. Because DeBOS existed before the hackathon, I needed to keep the new work clearly distinguishable through dated Codex tasks, commit history, documentation, tests, and a focused demonstration.

What I Learned

The most important lesson was that AI-assisted development is not only about generating code faster. Its greater value is shortening the distance between listening to a user and delivering a working solution.

Codex and GPT-5.6 helped me spend less time navigating repetitive implementation work and more time thinking about product behavior, business rules, and customer needs. They made it practical to evolve a mature codebase across several connected systems within a short period.

I also learned that modularity becomes meaningful when a real customer tests it. Supporting GrooveSwap demonstrated that DeBOS could expand beyond its original service-business workflows without abandoning its central purpose.

What’s Next

My next goal is to continue developing DeBOS alongside its users rather than building in isolation.

Planned improvements include deeper opportunity qualification, additional storefront and marketplace capabilities, stronger operational automation, and more industry-specific modules.

The long-term vision is for DeBOS to become an adaptable business operating system that gives small businesses the capabilities they need without forcing them to assemble and maintain a collection of disconnected applications.

Built With

• chatgpt
• codex
• cursor