The Contradiction of AI Agent Workflows: Why Your Systems Might Be Breaking The Agent Workflow Paradox In this episode of Old School New Tech, host Ran Aroussi explores the inherent contradiction in building AI systems with agent workflows. He argues that combining autonomous agents with predetermined workflows creates complexity and brittleness, making these systems difficult to scale. Ran provides examples that highlight the pitfalls of this approach and advocates for a shift toward giving ...
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The Contradiction of AI Agent Workflows: Why Your Systems Might Be Breaking The Agent Workflow Paradox In this episode of Old School New Tech, host Ran Aroussi explores the inherent contradiction in building AI systems with agent workflows. He argues that combining autonomous agents with predetermined workflows creates complexity and brittleness, making these systems difficult to scale. Ran provides examples that highlight the pitfalls of this approach and advocates for a shift toward giving ...
The Illusion of Progress: Avoiding the Faster Horses Trap in 2025 In this episode of Old School New Tech, host Ran Aroussi delves into the difference between real progress and the illusion of progress, using historical examples like the retail industry's initial forays onto the internet and mobile phone companies' reactions to the iPhone. He discusses how today's 'make me an AI' mentality mirrors past missteps and emphasizes the need for true transformation rather than superficial changes. A...
Old School; New Tech
The Contradiction of AI Agent Workflows: Why Your Systems Might Be Breaking The Agent Workflow Paradox In this episode of Old School New Tech, host Ran Aroussi explores the inherent contradiction in building AI systems with agent workflows. He argues that combining autonomous agents with predetermined workflows creates complexity and brittleness, making these systems difficult to scale. Ran provides examples that highlight the pitfalls of this approach and advocates for a shift toward giving ...
