Building a multi-agent Prospect Scout on DigitalOcean with DeepSeek V4 Pro and Jev
A video walkthrough deploys a multi-agent prospect scout on DigitalOcean, using DeepSeek V4 Pro and Jev for research and qualification.
The modern AI-native stack has a Rube Goldberg problem. One vendor for the harness. Another for the sandbox. More for models, inference, web search, MCP tools, storage, databases and application hosting. Every seam is infrastructure your team must integrate, secure, observe and scale instead of solving customer problems. In this video, I build and deploy a complete multi-agent Prospect Scout on @digitalocean : → OpenCode running in a secure sandbox → DeepSeek V4 Pro and Jev for research and qualification → Scheduled, recurring agent runs → Web search through Action Gateway → Managed PostgreSQL for persistent data → App Platform for the customer-facing experience All managed from one AI Native Cloud platform. With DigitalOcean Managed Agents, builders get secure harness execution, 75+ models, 16,000 tools, inference, storage, databases and cloud infrastructure in one integrated stack. Build and scale agents not the Rube Goldberg machine around it.