---
title: In the Agentic era, choosing how to think is as important as what to…
type: post
date: 2025-07-09
source: linkedin
original_url: "https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7348652699669651457"
topics: ["agentic-ai", "green-software"]
summary: In the Agentic era, choosing how to think is as important as what to think. Agentic AI systems don’t just act—they reason. But not all reasoning is created equal—and getting it wrong can waste both cost and carbon. Here’s a simple framework for reasoning…
draft: false
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In the Agentic era, choosing how to think is as important as what to think.  
Agentic AI systems don’t just act—they reason.  
But not all reasoning is created equal—and getting it wrong can waste both cost and carbon.

Here’s a simple framework for reasoning optimization in Agentic AI:  
🔹 Stage 1: Close-Ended Reasoning  
✅ Deterministic answers (yes/no, select one)  
✅ Lowest cost  
✅ Lowest emissions  
✅ Ideal when the workflow is clear, the outcome set is limited, but AI is still useful for interpreting unstructured inputs.

🔹 Stage 2: Pre-Compiled Thought  
✅ Curated, finite responses from precomputed knowledge  
✅ Moderate cost  
✅ Low emissions  
✅ Use when the space of possible answers is finite and repetitive—and full creative generation is unnecessary.

🔹 Stage 3: Open-Ended Reasoning  
✅ Generative, exploratory, creative thinking  
❌ Highest cost  
❌ Highest emissions  
✅ Reserve for tasks that demand creativity, ideation, or complex synthesis.

👉 The path to lean, responsible AI is not just about selecting the right model—  
It’s about selecting the right type of reasoning at the right time.  
Smarter reasoning choices drive:  
✔ Lower compute  
✔ Lower cost  
✔ Lower carbon  
✔ Better outcomes