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As Agentic AI systems move from experimentation into enterprise production, a new layer of engineering maturity is emerging.
Beyond model capability and orchestration design, organizations are beginning to encounter a quieter challenge — the gradual accumulation of complexity across prompts, memory, tools, and reasoning flows.
In this milestone 80th episode of Agentic AI – The Future of Intelligent Systems, we explore how agent-based systems evolve over time, how cognitive dependencies form, and why observability, lifecycle governance, and architectural discipline are becoming central to long-term sustainability.
This episode offers a grounded perspective on building agentic systems that remain clear, efficient, and predictable as they scale.
By Naveen Balani3.2
55 ratings
As Agentic AI systems move from experimentation into enterprise production, a new layer of engineering maturity is emerging.
Beyond model capability and orchestration design, organizations are beginning to encounter a quieter challenge — the gradual accumulation of complexity across prompts, memory, tools, and reasoning flows.
In this milestone 80th episode of Agentic AI – The Future of Intelligent Systems, we explore how agent-based systems evolve over time, how cognitive dependencies form, and why observability, lifecycle governance, and architectural discipline are becoming central to long-term sustainability.
This episode offers a grounded perspective on building agentic systems that remain clear, efficient, and predictable as they scale.

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