⚙️ Prompt Architecture
Master advanced professional prompt structuring. Essential fundamentals for creating consistent and effective prompts.
1. Advanced Prompt Structuring
Clear, hierarchical architecture
Well-structured prompts are like well-organized code: easy to understand, maintain, and debug. Structure determines the quality of the response.
# Recommended Structure
## CONTEXT
[Who you are, current situation]
## TASK
[What needs to be done]
## FORMAT
[How the response should be]
## RESTRICTIONS
[What to avoid or limit]
✓ Use clear delimiters
XML tags, Markdown headers, or separators like ---
✓ Information Hierarchy
From most important to least important
2. Separation of Instructions, Context, and Data
Organization into distinct blocks
Mixing instructions with data is the main cause of confusion in models. Clearly separate each type of information.
<instructions>
Analyze the text below and extract the key points.
</instructions>
<context>
You are a content analyst specializing in summaries.
</context>
<data>
[Text to be analyzed here]
</data>
⚠️ Beware of Injection
When data comes from the user, use delimiters that can’t be easily replicated.
3. Goal-Oriented Prompts
Focus on the desired outcome
Before writing the prompt, clearly define: What does success look like? How will I measure whether the response is good?
❌ Vague goal
"Write something about marketing"
✓ SMART Goal
"Write 3 headlines of up to 60 characters for a women's fashion e-commerce campaign, focusing on urgency"
SMART Framework for Prompts:
- Specific - What exactly?
- Mmeasurable - How do you know if it's good?
- Aachievable - Can the model do it?
- Relevate - Does it solve the real problem?
- Ttime - Are there length restrictions?
4. Strategic Use of Examples (Few-Shot)
Examples that establish patterns
Examples aren't just illustrative—they set the response standard. Choose them strategically.
📊 Ideal Quantity: 2-5 Examples
Fewer than 2 may not establish a pattern. More than 5 usually doesn’t help and consumes tokens.
🎯 Diversity
Include varied cases: simple, complex, edge case.
📍 Positioning
More recent examples (at the end) carry more weight. Put the most important one last.
5. Reducing Ambiguity
Eliminating Multiple Interpretations
Ambiguity is the #1 enemy of good prompts. Every ambiguous term is a chance for an incorrect answer.
❌ Ambiguous terms
- • "short" (how many words?)
- • "technical" (what level?)
- • "recent" (last month? year?)
- • "best" (by what criteria?)
✓ Explicit Definitions
- • "maximum 100 words"
- • "for senior developers"
- • "from the last 6 months"
- • "with the highest ROI"
6. Reusable Templates
Parameterizable structures
Create templates with placeholders for repetitive tasks. Save time and ensure consistency.
# Template: Product Analysis
Analyze the product [PRODUCT] considering:
- Target audience: [AUDIENCE]
- Market: [MARKET]
- Objective: [OBJECTIVE]
Provide: strengths, weaknesses, and 3 suggestions for improvement.
💡 Pro Tip
Keep a library of tested templates. Version and document each template.
7. Failure Analysis and Correction
Systematic Prompt Debugging
When a prompt doesn’t work, don’t change everything at once. Diagnose systematically.
Identify the symptom
Wrong answer? Wrong format? Too long? Too short?
Cause hypothesis
Ambiguous instruction? Insufficient context? Poor examples?
Isolated test
Change ONE thing at a time. Compare results.
Document
What worked and what didn't. Create a log.
🚀 Next: Module 2
Continue to Output Control and master output formatting, constraints, and validation!