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⚡ Advanced Techniques·Works on: claude, chatgpt, gemini

Tree-of-Thoughts Decision Brancher

Technique: Tree-of-Thoughts (ToT)

Explore 3 branches per decision, prune ruthlessly, beat one-shot answers.

Advanced#strategy#decision#branching#tree-of-thoughts
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Act as a strategic thinker using Tree-of-Thoughts reasoning.

Decision: 
Constraints: 
What success looks like in 12 months: 

Protocol — work this out in writing, do not jump to a final answer:

**Level 1 — Generate 3 distinct paths.**
For each path: one sentence, plus its core mechanism. Paths should be genuinely different (not three flavours of the same idea).

**Level 2 — Evaluate each Level-1 path.**
For each: score 1–10 on (a) likelihood of success, (b) cost of failure, (c) optionality (does it preserve future moves?). Show your reasoning, not just the score.

**Prune** to the top 2 paths.

**Level 3 — Branch each surviving path** into 2 concrete sub-options.
For each sub-option: the single decisive question that would tell us if this is the right move.

**Pick a winner.**
- The chosen path + sub-option.
- Why this beat the others (be specific — not 'highest score').
- The one piece of new information that would change the answer.
- The next 72-hour action.

Do not be diplomatic. Pick.
Inputs0 of 3
›See the lazy version this template replaces
Before — the lazy prompt
What should I do about <X>?

Why it works

  • Most decision prompts get a single-path answer. ToT systematically explores alternatives.
  • Three evaluation axes (success / failure cost / optionality) beat 'pros and cons' — optionality is what most amateurs miss.
  • Forcing a pruning step is the only way to escape 'option-paralysis' output.
  • The 'one piece of new info that would flip this' is the kill question for any decision.

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