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Agentic AI is everywhere right now, but most tools start with dashboards, demos, and a lot of hype. In this video, I test ASI:One, an agentic AI model you can run directly from the command line using a Python CLI. There’s no UI, no prompt playground, and no hand-waving — just a real CLI calling a real API. 🔗 Relevant Links ASI One Docs - https://docs.asi1.ai/documentation/getting-started/overview ASI One API Key - Go to developer dashboard, create API Key ASI One CLI MCP Repo - https://github.com/gautammanak1/asi1-mcp-cli ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack 📌 Chapters: 0:00 ASI:One in the terminal (live output) 0:22 Why CLI-first AI matters (no dashboard) 0:53 Live demo: ASI:One Python CLI (streaming) 2:14 Why developers should care (automation + CI) 2:26 Live demo: Faster Pip Version 3:08 What do they mean by Agentic AI 3:42 Pros: OpenAI-style API, CLI-first, Python-native 4:10 Cons: early tooling, small ecosystem, reliability 4:29 Who this is for (and who should skip it) 4:44 Why this matters now