Pichle kuch episodes mein hum AI ko ek journey ki tarah dekh rahe hain —
Prompt Engineering se shuru karke,
Context aur MCP tak.
Is episode mein hum us journey ko ek step aage le jaate hain.
Jab AI sirf jawab dene ke bajay actions lena shuru karta hai,
decisions repeat karta hai,
aur time ke saath behaviour dikhata hai —
toh hum use Agentic AI kehte hain.
Is conversation mein hum Agentic AI ko
buzzwords aur hype ke bina samajhte hain —
bilkul system, control aur responsibility ke lens se.
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Chatbots aur AI Agents ka real difference
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Agentic AI intelligence upgrade kyun nahi hai
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Autonomy ke saath risk kyun badhta hai
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Context, boundaries aur MCP ka role
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Agentic AI ke common (silent) failure modes
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Human-in-the-loop kyun zaroori hai
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Realistic use-cases vs marketing hype
⚠️ Yeh episode beginners ke liye nahi hai.
Agar aap AI ko sirf use nahi, samajhna aur design karna chahte ho —
yeh conversation aapke liye hai.
🎙️ Hindi / Hinglish Podcast
In Simple Terms with Satish
Is episode mein baat hoti hai: