AI Logic · Feb 2026
Chain of Thought
! Linear is good, structured is better @ Wei et al. (2022)
Chain of Thought (CoT) taught AI to "think step by step." CLN upgrades this linear monologue into a hierarchical logic tree, making reasoning visible, auditable, and branching.
01/Definition AI Foundation
= Chain of Thought: A prompting technique where AI generates intermediate reasoning steps before reaching a final answer.
= The "Let's think step by step" protocol.
02/The Linear Limitation
! CoT is a monologue. It cannot easily branch into scenarios (if/else).
! CoT is hard to audit. The reader must parse prose to find where logic failed.
! CoT lacks grouping. Related concepts are separated by the sequence of words.
03/The CLN Tree of Thought Structural
TRADITIONAL CoT
Step 1...
Step 2...
Step 3...
Conclusion.
CLN REASONING
= PREMISE
. OPTION A
  + Benefit
. OPTION B
  ! Risk
04Map vs Narrative
+ When you ask AI for a narrative, you get a story.
+ When you ask for CLN-reasoning, you get a map.
* A map allows you to spot missing branches instantly.
* The chain is strong but rigid. The tree is strong and flexible.