Prompt Reasoning Frameworks
Structured reasoning and action patterns for prompts, covering ReAct, tree-of-thoughts, prompt chaining, and constitutional self-critique. These frameworks give models the ability to plan, verify, and iterate — turning single-shot calls into reliable multi-step workflows.
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Constitutional AI Prompting →
Constitutional AI prompting is a self-critique pattern where a model evaluates its own output against a set of defined …
Prompt Chaining →
Prompt chaining breaks complex tasks into sequential LLM calls where each step's output feeds into the next. Instead of …
ReAct Prompting →
ReAct Prompting is a framework that structures LLM outputs as alternating Thought, Action, and Observation steps. Each …
Tree of Thoughts →
Tree of Thoughts (ToT) is a reasoning framework that extends chain-of-thought prompting by exploring multiple solution …