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Founder & CEO @ Jagodana LLC Building AI mission control → agentcenter.cloud Launching SaaS & AI products faster → buildbase.app Agency → http://jagodana.com/work Independent Software Consultant Indie hacker & solo founder

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PlugNode AI - Build multimodal AI workflows visually

Build multimodal AI workflows for text, image, video, voice, and APIs on one visual canvas. Connect GPT-4o, Gemini, Veo, ElevenLabs, and more using drag-and-drop nodes — then turn workflows into production-ready API endpoints instantly. Build AI apps, backend automations, content pipelines, internal tools, generators, and AI-powered APIs without backend complexity. Free to start.

Is “AgentOps” becoming the next DevOps?

As AI agents move into production, do we need a dedicated operational layer for monitoring, debugging, and reliability? Or are logs and dashboards enough?

Curious how others see this evolving.

How are you monitoring OpenClaw agents in production today?

As we built AgentCenter, we noticed something interesting:

Most teams move from experimenting with OpenClaw agents to running them in production but still rely heavily on logs and manual debugging.

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