Multi-Agent Business System
How specialized agents communicate and work together instead of one model trying to do everything.
Problem
A single general-purpose AI assistant tends to do every job a little worse than a specialist would — and gets harder to trust as its scope grows.
Solution
A set of function-scoped agents, each with a defined responsibility and its own working memory, coordinated so the right agent handles the right job and hands off cleanly to the next one.
Architecture
Each agent owns a distinct business function with its own context and tools. A coordination layer routes work to the right agent and passes structured results between them, rather than one model juggling every responsibility in a single context.
Workflow
Technology
Screenshots
Screenshots in progress
This system is still being built — screenshots will be added as it takes shape.
Demo
Demo in progress
A walkthrough of this project isn't recorded yet — check back soon.
Lessons
- Scoping an agent to one function makes it dramatically easier to trust and to debug than a single do-everything assistant.
- Clean hand-offs between agents matter as much as any individual agent's quality.
Potential Business Applications
- Businesses running several distinct AI-assisted workflows (support, ops, marketing, finance) that currently live in separate disconnected tools
- Teams that want visibility into what each agent is responsible for, rather than one opaque assistant