The Contradiction of AI Agent Workflows: Why Your Systems Might Be BreakingThe Agent Workflow ParadoxIn 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 AI agents context and knowledge to enable reasoning and adaptability within defined guardrails, rather than rigid workflows. This episode is sponsored by Automaze, offering CTO-as-a-Service for startups and businesses.00:00 Introduction to AI Contradictions01:31 The Oxymoron of Agent Workflows02:42 Concrete Example: Financial Service Incident03:54 Guardrails vs. Workflows05:24 The Alternative: Context and Knowledge07:19 Evaluating Your AI Systems09:19 Conclusion and Final Thoughts----- 🎧 Brought to you by Automaze This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

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