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Prompt Engineering - Mini AI Agent

Mini AI Agent — A Complete System

An AI agent is a system that thinks + acts + verifies + improves. It is not just answering — it performs a full workflow.

Think of an office assistant:

  • You say "plan a new batch".
  • The assistant calculates pricing, chooses timing, writes a message, improves it, and checks for mistakes.
In simple words: AI Agent = think + act + improve + deliver. You are not just learning AI, you are building systems.
Normal PromptAI Agent
Single answerFull workflow
No validationVerified output
No improvementImproved output
Limited useReal-world use

The Mini Agent Prompt

This single prompt combines CoT, ToT, CoH, Reflection, ReAct, guardrails, and a stop condition — everything you learned so far, working together as one agent.

Example02
Prompt PreviewChatGPT-style
Act as an AI Batch Planning Agent. Goal: Plan a new training batch. Steps: 1. Reason: Identify the inputs needed 2. Act: Ask the inputs 3. CoT: Calculate pricing 4. ToT: Compare timing options 5. Draft: Create a promo message 6. CoH: Improve the message 7. Reflection: Check quality 8. Guardrails: Ensure safe content 9. Stop: Return the final output Output: - Pricing decision - Best timing - Final promo message - Risk summary
Copy the prompt and paste it into ChatGPT, Gemini, or Claude to try it.
📝 Key Takeaways
  • An AI agent thinks + acts + verifies + improves as a full workflow.
  • It is not just answering — it performs a complete task.
  • The office assistant: plan the batch, calculate pricing, write, improve, check.
  • Mini agent = CoT + ToT + CoH + Reflection + ReAct + guardrails + stop.
  • One single prompt combines every technique you learned.
  • You are not just learning AI — you are building systems.

🧠 Test Your Knowledge

2 Questions
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