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Intelligent Insights

Intelligent Insights

By: Praveen Ravi
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Welcome to Intelligent Insights, the podcast where we explore the latest advancements in artificial intelligence, machine learning, and data science. Join us as we dive deep into the world of Retrieval-Augmented Generation (RAG), language models, and cutting-edge AI applications transforming industries from education to technology. Whether you're an AI enthusiast, tech professional, or just curious about the future of intelligent systems, Intelligent Insights brings you clear explanations, expert interviews, and practical insights to help you stay informed and inspired.Praveen Ravi
Episodes
  • Agent Skills: The New Way AI Becomes Specialized
    Feb 6 2026

    Anthropic’s Agent Skills introduce a smarter way for AI agents to load knowledge only when it’s needed. Using progressive disclosure, agents stay token-efficient while gaining powerful, domain-specific capabilities on demand.

    In this episode, we explain how Agent Skills work, why they’re simpler than MCP, and how they turn general AI models into focused specialists—while raising important security questions around executable skills.

    If you’re building or thinking about AI agents, this is a format you’ll want to understand. Powered by ideas from Anthropic.

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    16 mins
  • Clawdbot (aka Moltbot): Agentic AI, Local Power, and the Risks of Autonomy
    Jan 27 2026

    Clawdbot (now Moltbot) is a powerful local-first, open-source agentic AI assistant that runs on your own hardware and can act across emails, messages, and system commands.

    In this episode of Intelligent Insights, we unpack how this autonomous AI works, why it went viral, and what went wrong—from a trademark dispute with Anthropic to security concerns around deep system access. A sharp look at the promise—and the risks—of truly autonomous personal AI.

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    15 mins
  • From Pilot to Production: Why Enterprise AI Fails and How to Scale It Right
    Jan 21 2026

    Most AI initiatives don’t fail because the models are weak - they fail because organizations never design for reality.

    In this episode of Intelligent Insights, we unpack why 80 - 95% of enterprise AI pilots never make it to production, and what separates scalable AI systems from endless proof-of-concepts. Drawing from industry research and real-world engineering patterns, we explore the hidden blockers behind “pilot purgatory” — including verification tax, MLOps immaturity, technical debt, and misaligned incentives.

    We break down a practical roadmap for scaling AI responsibly, starting with high-control, low-agency systems and gradually increasing autonomy as trust is earned. You’ll learn why Human-in-the-Loop (HITL) frameworks, disciplined data foundations, and cost-aware hosting strategies matter more than choosing the latest model.

    This episode is not about hype. It’s about shipping AI that survives contact with production.

    If you’re a product leader, engineer, founder, or executive trying to move AI from demos to durable business impact - this one’s for you.

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    18 mins
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