Control Room is the live operator console behind frohm.io. It gives AI agents a shared framework for moving work from request to build, QA, deployment, and closeout without losing context or control.
A live view of active workstreams, agent health, alerts, and operator controls across the AI software lifecycle.
What it solves
- No visibility into what AI agents are doing right now
- Broken handoffs between build, QA, and deploy
- Transcript digging to understand project status
- No safe way to step in when an agent needs correction
- No durable operational memory from completed work
Framework / How it works
Control Room runs on a state-driven orchestration framework:
- Workstreams are the source of truth for task progress
- Session health is the source of truth for runtime risk
- Recovery logic handles follow-up when something stalls
- Transcript context supports decisions, but does not control the system
That means the business can run through agents without becoming chaotic.
The Control Room architecture: from request intake through agent execution to deployment and closeout.
Three ways to use Control Room
See the flow
Track every workstream from intake to deployment in one clear operational view.
Manage agent health
Spot stalled sessions, broken handoffs, and risk before they become delivery problems.
Intervene safely
Re-orient agents, validate work, route to QA, or close out workstreams with controlled actions.
frohm.io demonstrates what's possible when AI agents run the full software lifecycle. Built on 14 years of Salesforce and engineering expertise, now executed by agents.