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In episode #4 of "Backstage Tech", we're unpacking the truth behind OpenAI's "Agent Builder" and why calling it that was a brilliant marketing move — even though it's actually a workflow builder.

Pulling from 7 years in the trenches at ⚙️ ProCoders, I break down the critical difference between workflows and agents so you can pick the right approach for your product:

• Workflows vs Agents — why Anthropic's definition nails it: workflows use predefined code paths, agents dynamically direct their own processes
• The autonomy-predictability trade-off and why you're really chasing reliably good outcomes, not pure control or pure flexibility
• When workflows win — regulated industries, audit trails, well-defined processes that need predictability
• When agents win — variable tasks, edge cases, natural language interfaces where flexibility beats perfect predictability
• The no-code reality check — these tools solve real problems but still require technical knowledge
• A complexity framework: low complexity = agents, medium = workflow builders, high = code (LangGraph and friends)

If you own, fund, or lead a software product, this episode gives you the right question to ask: "What level of predictability do we need, and what level of autonomy can we tolerate?" — so you stop chasing buzzwords and start building what actually solves your problem.

👉 Ready to talk through your build? Book a meeting or email [email protected] and let's figure out if you need an agent or a workflow.