🧠 Why Your Prompts Fail (and the One Fix That Works)

Ever written a prompt that made no sense to ChatGPT?You’re not alone. Most engineers hit the same wall: great idea, terrible result.The fix? Not more power. Not better models.Just better structure—and that means chunking.

🔍 What Is Chunking?

Chunking means breaking your prompt—or your documentation—into clear, reusable blocks. Think of it like Lego for language. If it’s not modular, AI gets confused.

At Singularity, we use chunking in every part of our workflow:

• ChatGPT prompts

• Engineering templates

• Operations manual deliverables

  
  

✅ Why Chunking Works (And What It Looks Like)

Take this real prompt example from our AI workflow:

TASK:

Extract variables from datasheet

FORMAT:

Variable | Value | Units | Citation

RULES:

Use SI units, include references

OUTPUT:

Markdown table

That’s a perfect chunked structure. Each part has a role. The model follows it step-by-step. Result? Clean, reliable output—no guessing, no hallucination.

Now compare that to a messy prompt:

“Extract the inputs and format properly. Include units and references.”

It’s vague. There’s no hierarchy. AI doesn’t know what’s input vs. output—or how to present it.

🛠️ How We Chunk the Operations Manual

It’s not just for AI. Our operations manual uses the same structure:

• Deliverable → “Equipment Calculation Template”

• Steps → Generate using prompt → Save to correct folder → Test with inputs

• FAQ → ✅ SI Units used? ✅ Prompt archived? ✅ QA/QC passed?

• Examples → Linked files and screenshots

  
  

This format lets any engineer or AI agent pick up where the last one left off—with zero context lost.

⚡ Want to Try It?

Start by chunking your next prompt. Use these blocks:

• TASK

• INPUT FORMAT

• RULES

• OUTPUT

• 
  

Then apply it to your manuals. Break down steps. Add checklists. Your workflow will instantly become more repeatable—and AI will stop making dumb mistakes.

Advance your AI skills with our Udemy course →https://www.udemy.com/course/singularity-ai-for-engineers/?referralCode=75D71AF4C0EADB8975FF

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