
ABS TechEDGE
Your Newsletter on AI, Analytics & innovation @ ABS | October 2025
AI Isn’t Human — But It Can Think Like One (If You Guide It)
Reframing AI as a Collaborative, Transparent Problem Solver

Not a Genie. A Junior Engineer:
Too often, AI is treated like a shortcut: give it a vague prompt and expect a perfect solution. But high-performing teams don’t work like that.
They expect:
- Clear problem statements
- Diagnostic steps
- Reasoning and trade-offs
- Documentation of choices
WHAT IF WE EXPECTED THE SAME FROM OUR AI?
Engineering AI to Think in Steps
By structuring how we ask and how the AI thinks, we can improve:
- Reliability (AI doesn’t skip critical steps)
- Trust (We can inspect and validate the logic)
- Repeatability (Same inputs = same outputs)
Instead of saying: “Design a bearing for me,” we can guide AI with:
“First list candidate d/D values from catalog. Then check if Cr meets requirement. Then recommend top 3 options and explain why.”
It’s like mentoring a junior engineer: show your work, walk me through your process.

Examples at ABS
Use Case | Human Process | AI-Guided Thought Process |
---|---|---|
Bearing selection | Review d/D/B, match Cr/Cor, check clearance | Catalog filter → Load match → Explain top 3 |
PDF Search Tool | Ctrl+F + knowledge | Parse tables → Extract structured values → Rank by confidence |
Future Chatbot | Answer customer with verified info | Ask clarifying Qs → Check product database → Show sources |
Tools That Support Step-by-Step AI
We’re already using structured approaches like:
- Chain-of-Thought prompting: asking the AI to explain each step
- Tree-of-Thought reasoning: explore multiple options before picking the best
- NLP Explainability: highlight where the answer came from in a document
These tools are powerful not just because they work — but because they help us trust how they work
Takeaway: Don’t Just Prompt. Guide.
AI isn’t magic. It’s logic. And if we treat it like a tool that can think with us — not just for us — we get better results.
Next time you use AI
- Break the task into steps
- Show its reasoning
- Highlight trade-offs
- Document what it considered and why