AI Orchestration & Infrastructure
Miguelito AI Control Center: Coordinating Specialist AI Agents
The Miguelito AI Control Center is an internal operational environment developed to bring specialist agents, monitoring systems and structured tasks into a single management interface. Its architecture is organised around a central orchestration layer supported by specialised operational areas, making agent activity, task queues, infrastructure status and approval requirements easier to inspect and coordinate.
/Challenge
The operational challenge
A business using multiple automated systems needs a reliable way to understand what those systems are doing. Website availability, WordPress maintenance, server monitoring, security checks and administrative tasks may involve different tools, schedules and operational responsibilities. Without a central interface, visibility becomes fragmented and sensitive actions become harder to supervise.
/Platform
The platform
At the centre of the system is the Supervisor, represented in the dashboard as the Orchestrator. Six specialist agents surround this coordination area so operators can inspect different operational domains from one overview.
VPS monitoring
A dedicated area for server health, operational checks and infrastructure observations.
WordPress monitoring
A specialist area focused on WordPress websites and related operational checks.
SEO and Search Console
A dedicated area for SEO-related monitoring and search-data workflows.
Developer operations
An operational category for development-related tasks and controlled technical workflows.
Backup management
A specialist area for backup monitoring and related administrative procedures.
Quality assurance and security
A dedicated category for security-oriented observations, validation and QA.
Task Center
Interfaces for creating agent tasks with explicit targets across websites, VPS hosts and repositories.
/Architecture
Approvals and operational control
The architecture distinguishes monitoring from actions that may change production systems. Sensitive operations are designed to require explicit permissions, human review and audit logging. The interface presents a seven-agent orchestration model: one central Supervisor with six specialist agents.
/Outcome
What this project demonstrates
The Control Center illustrates our approach to multi-agent operational environments: specialist responsibilities, central coordination, operational observability and permission-aware system design presented through a purpose-built administrative interface.
Project status: Internal operational platform. Monitoring-first specialist tools with approval-aware handling for production-sensitive actions.
Final /Let’s talk
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