Real AI products aren't built with one giant prompt. ?⚙️ (Part 2/2)
They're built with workflow patterns. In Part 2 we're covering the advanced 3:
1️⃣ Parallelization → Sectioning (split subtasks, run in parallel) + Voting (same task, multiple models, take consensus).
2️⃣ Orchestrator-Workers → A central LLM dynamically decides what subtasks are needed and delegates to workers.
3️⃣ Evaluator-Optimizer → Generator LLM + Critic LLM loop until output is good enough.
The common thread: your code controls the flow. The LLM just fills in the intelligence. That's what makes AI systems predictable, debuggable, and production-ready. ?
? Part 1 (chaining + routing) is on the profile.
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