$ loading_
Generate metacognitive reflection prompts to inspect reasoning blind spots and quality.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "self-inspect" yet — see the docs or source repo.
Based on the current problem-solving process, call self-inspect and return one reflection question to help me check for missing assumptions or edge cases.
A reflection question focused on assumptions, constraints, or edge cases to assess whether the reasoning is complete.
For the product proposal I just made, use self-inspect to generate one question that helps identify whether I locked onto one direction too early or ignored alternatives.
A metacognitive question designed to surface confirmation bias, path dependence, or missing alternatives.
Before giving the final answer, call self-inspect and provide one reflection question to help me verify whether the evidence is sufficient and the conclusion exceeds known information.
A checking question focused on evidence sufficiency, conclusion scope, or how uncertainty is expressed.
Systematically debug failing AI agents with capture, diagnosis, recovery, and reports.
Improve complex reasoning with multi-agent debate, bias detection, and structured thinking.
Enhance LLM reasoning and generate structured insights with InfraNodus integration.
Access external agent memory, reasoning, and safety capabilities per call.
Run multi-agent debates and produce consensus recommendations with ranked options.
Give AI agents durable memory, observable retrieval, and governed context assembly.