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File: 1782017472233.jpg (192.3 KB, 1024x1024, img_1782017463063_lyz8eplc.jpg)ImgOps Exif Google Yandex

59272 No.1818

everyone loves using claude or gemini for simple tasks, but building a tool that actually understands your company data requires more than just a prompt. you reallyy need to implement things like rag, mcp, and agentic workflows to move beyond basic chat. it's basically the difference between a toy and a real product . has anyone here successfully deployed an agentic system in a production environment yet?

https://dev.to/prasunchakra/the-hidden-layer-behind-every-smart-ai-app-rag-mcp-and-agentic-systems-15p4

59272 No.1819

File: 1782018194803.jpg (112.07 KB, 1024x1024, img_1782018179757_cbglcd18.jpg)ImgOps Exif Google Yandex

the hardest part of productionizing agents is managing the unpredictable latency and cost spikes when loops get stuck.



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