Tutorials AI & LLM Engineering for .NET Architects

Self-Correction Patterns: Letting the AI check its own work

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Self-Correction Patterns

Even the best AI makes mistakes. But the AI is often smart enough to fix its own mistakes if you ask it to. This is the Self-Correction pattern.

1. Multi-Step Validation

Instead of one prompt, use three:

  1. **Generate:** "Write a Python script for 'X'."
  2. **Review:** "Review the script above for bugs or security holes. List any issues."
  3. **Fix:** "Rewrite the script fixing all the issues found in step 2."
This "Thoughtful" approach yields 40% higher quality code than a single-shot prompt.

2. Format Enforcement

If you need JSON and the AI returns invalid JSON, don't crash. Send the error back to the AI: "Your previous response was not valid JSON. Here is the error: `SyntaxError: Unexpected token`. Please try again." The AI will almost always fix the bracket or comma immediately.

4. Interview Mastery

Q: "What is 'Self-Reflection' in Agentic workflows?"

Architect Answer: "Self-reflection is where the AI maintains a 'Internal Monologue.' It records its own logic: 'I tried to use the Customer API but it returned 0 results. Perhaps the customer ID is wrong. I will try searching by email instead.' This ability to 'Pivot' based on its own failed attempts is what makes an **Autonomous Agent** much more powerful than a simple chatbot."

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AI & LLM Engineering for .NET Architects
Course syllabus
1. AI Foundations & Prompt Engineering
2. Semantic Kernel & Integration
3. Vector Databases & RAG
4. Advanced RAG Techniques
5. AI Safety & Guardrails
6. Small Language Models (SLMs) & Local AI
7. Multimodal & Agentic AI
8. FAANG AI Engineer Interview
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