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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 1d

Everyone is building agents, but only a small number truly understand what it takes to run them in production. Hereโ€™s the part people usually avoid saying: ๐— ๐—ฎ๐—ธ๐—ถ๐—ป๐—ด ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ถ๐—ป ๐—ฑ๐—ฒ๐˜ƒ ๐—ถ๐˜€ ๐—ฝ๐—ฟ๐—ฒ๐˜๐˜๐˜† ๐—ฒ๐—ฎ๐˜€๐˜†. In development, everything is clean and predictable: good data, simple inputs, and no messy old systems. Agents behave nicely. Tests go well. Logs make sense. ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป, ๐—ต๐—ผ๐˜„๐—ฒ๐˜ƒ๐—ฒ๐—ฟ, ๐—ถ๐˜€ ๐—ฎ ๐˜„๐—ต๐—ผ๐—น๐—ฒ ๐—ป๐—ฒ๐˜„ ๐—ด๐—ฎ๐—บ๐—ฒ. Security teams show up with urgent concerns. Users enter things you never expected. Data often comes in incomplete or confusing. APIs stop working without warning. Memory problems grow quickly and get hard to control. Latency climbs, costs rise, and your agent starts acting unstable. All of this together makes production feel chaotic. And then someone asks: โ€œWhy does it work in staging but not in production?โ€ Because staging is a comfortable, controlled space, but production isnโ€™t. ๐—ง๐—ถ๐—ฝ๐˜€ ๐˜๐—ผ ๐—บ๐—ฎ๐—ธ๐—ฒ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐˜„๐—ผ๐—ฟ๐—ธ ๐—ถ๐—ป ๐—ฝ๐—ฟ๐—ผ๐—ฑ: ๐Ÿ”ธ Treat agents like real software: use versioning, logging, monitoring, and testing. ๐Ÿ”ธ Expect problems. Agents will fail, freeze, or take the wrong path sometimes. ๐Ÿ”ธ Set up an orchestration layer with guardrails, fallbacks, and memory control. ๐Ÿ”ธ Connect with legacy systems early. Waiting makes it worse. ๐Ÿ”ธ Keep a close eye on cost. Prototypes fool you, production does not. The decade of agents is here, but only the preparedย willย succeed.

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