The Ai development Agency OS

Stop running a cutting-edge AI business on tools from the past.

You are building the future of intelligence, but your agency is likely stuck between messy spreadsheets, scattered Jira tickets, and lost API keys.

The AI Development Agency OS is not just a template. It is a specialized Enterprise Architecture designed specifically for Dev Shops, MLOps Teams, and AI Consultancies.

It bridges the gap between Business (Invoices, CRM) and Engineering (Experiments, Models, Sprints), giving you a single source of truth for your entire operation.

🏗️ What’s Inside?

A robust ecosystem of 16 Interconnected Databases organized into 4 Functional Trees:

🌳 1. The Business Core (Revenue Engine)

• 👥 Clients & CRM: Track Leads, Deal Value, and Active Partners.
• 📄 Invoices: Manage billing statuses and overdue payments.
• 💳 Expenses: Track burn rate, including recurring SaaS subscriptions and hardware costs.
• 📜 Contracts: Manage MSAs, NDAs, and Scope Change Orders.

🌳 2. Agile Management (Workflow Engine)

• 🚀 Projects: High-level deliverables with automated Profit Margin calculations.
• ✅ Tasks: Full Agile task management linked to Sprints.
• 🔄 Sprints: 2-week development cycles to track velocity.
• 🐞 Bug Tracker: Dedicated environment-specific issue tracking (Prod/Staging/Local).
• 👤 Team: Manage roles, access, and resource allocation.

🌳 3. The AI Lab (MLOps Engine)

• 🧪 Experiments: The heart of the system. Log training runs, hyperparameters, and loss metrics.
• 🧠 Models: A version-controlled registry of your "Gold Master" models.
• 🏗️ Infrastructure: Track Servers, GPUs, and API Keys—linked directly to expenses to calculate the true cost of development.
• 💾 Datasets: Manage versioned data sources.
• 🔌 APIs: Track live endpoints and webhooks.

🌳 4. Knowledge & Docs

• 📚 Wiki: A centralized library for SOPs, Research Papers, and Code Snippets.
• 🗣️ Meetings: Sync notes linked to specific Tasks and Clients.

⚡ Smart Features

• Automated Profit Margins: The system calculates (Total Revenue - (Expenses + Infrastructure)) for every project automatically.
• Cost of Science: Link specific GPU servers to Experiment runs to see exactly how much a model cost to train.
• Integrated Bug Tracking: Link Bugs directly to the specific Model Version that caused them.

👤 Who is this for?

• AI Development Shops scaling from 1 to 10+ developers.
• MLOps Teams who need to organize their experiments and infrastructure.
• Agency Founders who need to impress clients with professional organization.

Build better models. Run a better business.