From 6eb06ac7438c741bafd0483bd2ce350d634b7cb5 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 14 May 2026 09:48:00 +0200
Subject: [PATCH] chore: cleanup orphaned content files (#9969)

Co-authored-by: jcanalesluna <56018501+jcanalesluna@users.noreply.github.com>
---
 .../content/tree-of-thought@hj1adjkG9nalXKZ-Youn0.md     | 9 ---------
 1 file changed, 9 deletions(-)
 delete mode 100644 src/data/roadmaps/ai-agents/content/tree-of-thought@hj1adjkG9nalXKZ-Youn0.md

diff --git a/src/data/roadmaps/ai-agents/content/tree-of-thought@hj1adjkG9nalXKZ-Youn0.md b/src/data/roadmaps/ai-agents/content/tree-of-thought@hj1adjkG9nalXKZ-Youn0.md
deleted file mode 100644
index ce092e07e..000000000
--- a/src/data/roadmaps/ai-agents/content/tree-of-thought@hj1adjkG9nalXKZ-Youn0.md
+++ /dev/null
@@ -1,9 +0,0 @@
-# Tree-of-Thought
-
-Tree-of-Thought is a way to let an AI agent plan its steps like branches on a tree. The agent writes down one “thought” at a time, then splits into several follow-up thoughts, each leading to new branches. It can look ahead, compare branches, and drop weak paths while keeping strong ones. This helps the agent explore many ideas without getting stuck on the first answer. The method is useful for tasks that need careful reasoning, such as solving puzzles, coding, or writing. Because the agent can backtrack and revise earlier thoughts, it often finds better solutions than a straight, single-line chain of steps.
-
-Visit the following resources to learn more:
-
-- [@article@Tree of Thoughts (ToT) | Prompt Engineering Guide](https://www.promptingguide.ai/techniques/tot)
-- [@article@What is tree-of-thoughts? - IBM](https://www.ibm.com/think/topics/tree-of-thoughts)
-- [@article@The Revolutionary Approach of Tree-of-Thought Prompting in AI](https://medium.com/@WeavePlatform/the-revolutionary-approach-of-tree-of-thought-prompting-in-ai-eb7c0872247b)