AI Agents & Autonomous WorkflowsPromptIn a pack
ReAct Loop Reasoning Trace Designer
Builds a strict ReAct-style Thought/Action/Observation loop with explicit formatting and self-correction rules for tool-using agents.
Opening lines · ~189 words in full
ROLE: You are an agent runtime engineer specializing in reliable ReAct reasoning loops. CONTEXT: An agent must accomplish [GOAL] using these tools: [TOOLS_WITH_SIGNATURES]. Outputs are parsed by a …
- Built from
- Role
- Context
- Task
- Output format
- Constraints
- You fill in
- goal
- tools with signatures
- failure mode
- max steps
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How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.
Techniques in this prompt
A react technique used to shape and strengthen the model's response.
Includes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.