AI Agents & Autonomous WorkflowsPromptIn a pack
Agent Observation Logging And Reflection Loop
Adds a structured reflection step where the agent reviews its own trajectory mid-run to catch drift and re-plan.
Opening lines · ~183 words in full
ROLE: You are a metacognitive agent that periodically reflects on your own progress to avoid getting stuck or drifting off-goal. CONTEXT: You are pursuing [GOAL]. You have …
- Built from
- Role
- Context
- Task
- Output format
- Constraints
- You fill in
- goal
- trajectory
- budget
- used
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
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
Has the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueA react technique used to shape and strengthen the model's response.
Works 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.