Task Management
A command system manages updates and tracks what happens across the network.
Commerce Infrastructure System
AI and agents run the system.
The system has two main parts: one plans and manages rules and budgets, the other makes updates and tracks what happens.
Planning
The planner manages tools, rules, credits, and schedules tasks.
Doing the Work
The system updates the store, sends messages, runs tests, and tracks everything.
System Architecture
Main Features
Each part of the system handles tasks like planning, running updates, testing, and tracking results.
Tools and Agents
Agents use approved tools to automate their jobs.
Research and Setup
Research and setup tasks happen at the same time in organized steps.
Store Updates
Storefront updates are checked and shared to keep everything in sync.
Server and Security
The system automatically manages servers, routes, and certificates.
Testing and Improvements
The system tests changes and promotes the best ones.
Rules and Security
Rules keep different parts separate and secure.
Tracking and Audit
Everything is logged, so you can track every action.
Data Flow
Where state, memory, and execution meet
The system includes controls for data, memory, communication, and budget to keep everything running smoothly.
Managing Many Stores
Shared and local databases keep things organized and separate but connected.
Shared Knowledge
Records are kept so planners and agents can see what's happening in real time.
Messaging
Messages and updates are sent and received within the system.
Budget Control
Budgets and rules are always enforced to keep control as the system grows.
First 30 days, technical rollout
- Day 1: Start Up
- Activate contracts and immediately launch discovery, experimentation, and multi-brand surface creation in parallel on day one.
- Week 1: Test and Run
- Keep experimentation running continuously while orchestration, policy, and ledger controls enforce deterministic execution.
- Week 2: Grow Brands
- Expand into additional branded surfaces, routes, and offer branches while parallel research tracks continue feeding execution.
- Week 3: Promote Winners
- Promote winning variants, retire low performers, and keep publishing pipelines active with auditable workflow receipts.
- Week 4: Scale Up
- Increase active surfaces and experimentation lanes while graph memory sync, budget caps, and orchestration concurrency maintain control.
This design works at any size because everything: rules, tracking, and budgets are managed together and can grow as needed.