Different

Different is building a digital twin for your home, revolutionizing property management through advanced technology. As the team at Different began integrating LLMs into their internal operations such as summarizing property communications, routing tasks, and assisting their property experts they quickly ran into the classic problem:

"We couldn't afford black-box behavior in tools that impact real customer operations."

With multiple tools, prompts, and logic paths involved, debugging and understanding agent decisions became a growing challenge. They needed a framework that gave them both structure and visibility.

By adopting VoltAgent, the team was able to:

• Define custom agents in TypeScript
• Handle tool orchestration and memory in a clean, modular way
• Build reliable flows for tasks like support summarization and workflow triage

They paired this with VoltOps, which gave them:

• Real-time observability into each agent's reasoning steps
• Visibility into tool calls, memory usage, and intermediate decisions
• Faster debugging when something broke or behaved unexpectedly.

"VoltOps gave us the visibility we desperately needed - we could finally see exactly what our agents were thinking and doing at every step."

With VoltAgent and VoltOps, Different now runs LLM-powered internal tools with confidence, accelerating development while maintaining full control.

"Having insight into how our agents think and act has helped us build with more confidence and catch problems early."

This lets the team at Different continue delivering smarter, faster property management experiences powered by AI, backed by full visibility.