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Prompt Engineering - Branching Pipelines

Branching Pipelines — Decisions Change the Path

A branching pipeline changes its path based on a condition. The logic is simple: IF condition → Route A, ELSE → Route B.

  • Different users get different outputs.
  • AI becomes smart and personalized.
In simple words: Smart workflows adapt based on conditions. Smart decisions create smart systems.
Linear PipelineBranching Pipeline
Single pathMultiple paths
Same output for allCustomized output
SimpleSmart
Less flexibleMore flexible
Example01
Prompt PreviewChatGPT-style
IF marks >= 80 -> Advanced class IF marks < 80 -> Basic revision Decision-based flow. Same input check, different paths.
Copy the prompt and paste it into ChatGPT, Gemini, or Claude to try it.

Branching in Action — Fresher vs Experienced

First, AI classifies the user; then it sends them down the correct path.

  • Marks ≥ 80 → advanced class.
  • Marks < 80 → basic revision.

Define the condition clearly and keep the two flows separate.

Example02
Prompt PreviewChatGPT-style
STEP 1 (DECISION): Act as a resume analyzer. Decide: Fresher or Experienced. Rules: - 0 years -> Fresher - 1+ years -> Experienced Output: Candidate_Type + Reason STEP 2A (FRESHER FLOW): Create 10 basic interview questions (4 HR + 6 basic technical) STEP 2B (EXPERIENCED FLOW): Create 10 advanced interview questions (2 HR + 4 project + 4 scenario)
Copy the prompt and paste it into ChatGPT, Gemini, or Claude to try it.
📝 Key Takeaways
  • A branching pipeline changes path based on an IF condition.
  • IF condition → Route A, ELSE → Route B.
  • Different users get different outputs → personalization.
  • Classify the user first, then send them down the correct path.
  • Define the condition clearly and keep the two flows separate.

🧠 Test Your Knowledge

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