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FiveM AI & Operations Platform

Live FiveM systems for an anonymous client: economy automation, AI-assisted code maintenance with human-reviewed merge requests, item tracking and Grafana monitoring.

Live on a client server. Client identity, source code and operational data remain private.

Overview of economy automation, AI maintenance, item tracking and Grafana monitoring; illustrative diagram, not a client screenshot

My role in FiveM AI & Operations Platform

I built and deployed a connected set of systems for a FiveM client: an economy platform, AI-assisted software maintenance, item and transaction tracking, and Grafana monitoring. The work connects game-server operations with web tools, backend systems and automation.

The client needed tools for managing the economy, investigating item and transaction history, monitoring server operations and maintaining the codebase. My role covered the implementation and integration of these systems on the client server.

This case study describes the live capabilities at a high level. The client is anonymous, and the implementation, infrastructure details and operational data are private.

Economy automation

The economy platform connects game data with tools for monitoring and adjusting the in-game economy. Automation supports ongoing economy management, bringing economic activity into a system that can be analysed and acted on.

AI-assisted maintenance with human review

The maintenance workflow uses AI to assist with code analysis, bug investigation and proposed fixes, integrating those proposals into version-controlled development.

Code changes are submitted through human-reviewed merge requests. Generating a proposed fix and approving it for merge are separate stages, keeping review responsibility with the people maintaining the server.

Item provenance and transaction investigation

Item-tracking infrastructure records item provenance and economic transactions so activity can be traced and investigated. The system supports identifying suspicious patterns and examining the history behind an item or transaction.

Tracking and investigation tools give administrators context for reviewing possible exploits and unusual activity.

Grafana monitoring and live operation

Grafana integration provides dashboards and monitoring for operational visibility. Together with economy and item-tracking information, this gives the team tools to understand server behaviour and investigate issues.

The economy automation, AI maintenance, item tracking and Grafana systems are deployed and live on the client server. This project demonstrates work across backend engineering, game-server integration, AI workflows and observability.

FiveM development and maintenance

Scope of work

  • Economy platform with automated monitoring and adjustment
  • AI-assisted code analysis and proposed fixes
  • Human-reviewed merge requests for maintenance changes
  • Item provenance and transaction tracking
  • Tools for investigating suspicious economic activity
  • Grafana dashboards and operational monitoring

Built with

FiveMGrafana
ClientAnonymous client
My roleFull-Stack Software Engineer & Systems Developer
CategorySystems Engineering

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