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jevVIDEO

DigitalOcean 上用 Jev 搭多智能体 Prospect Scout

视频演示在 DigitalOcean 上部署多智能体线索侦察,用 DeepSeek V4 Pro 加 Jev 做研究与资格判定。

Paddy Srinivasan
@paddix2026.09.24收录原推发布于 2026.09.23
Paddy Srinivasan @paddix原推发布于 2026.09.23
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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.

x.com/paddix/status/2102782457535709401采集于 2026.09.24 10:15