Home > Tasks > Reasoning > MetaCognitiveReflectionTask

MetaCognitiveReflectionTask

"Thinking about thinking": An automated analyst that critiques reasoning processes, identifies cognitive biases, and suggests quality improvements for complex problem-solving.

Category: Reasoning Model: GPT-4 Preferred Side-Effect Safe
⚙️ ExecutionConfig.json

{
  "subject_task_id": "task_452",
  "reflection_aspects": [
    "assumptions",
    "biases",
    "logic"
  ],
  "include_file_context": true,
  "input_files": ["src/**/*.kt"],
  "reflection_questions": ["Is the error handling robust?"],
  "suggest_improvements": true,
  "identify_gaps": true,
  "evaluate_confidence": true
}
→
👁️ Reflection Analysis UI
Assumptions
• Assumes the legacy API handles nulls implicitly.
• Assumes network latency is negligible for this operation.
Biases
• Potential anchoring bias on the initial architectural draft.
• Availability bias regarding recent library updates.
Alternatives
• Consider using a circuit-breaker pattern for the legacy bridge.
Improvements
• Implement explicit null-checks for the legacy bridge.
• Consider an asynchronous pattern to mitigate latency risks.
CONFIDENCE ASSESSMENT
High - Logic is consistent with provided file context and architectural constraints.
LOGICAL CHECK
No contradictions found. Reasoning follows from premises.

Live Results Showcase

Explore actual reflection artifacts and transcripts generated by this task in the test workspace.

Configuration Parameters

Field Type Description
subject_task_id * String The ID of the task whose reasoning process should be reflected upon.
reflection_aspects List<String> Aspects to evaluate: assumptions, biases, alternatives, confidence, completeness, logic.
input_files List<String> Glob patterns (e.g. **/*.kt) for files to be used as context.
reflection_questions List<String> Additional context or specific questions to guide the reflection.
include_file_context Boolean Whether to include file content in the analysis. Default: true.
suggest_improvements Boolean Whether to suggest actionable improvements. Default: true.
identify_gaps Boolean Identify knowledge gaps and uncertainties. Default: true.
evaluate_confidence Boolean Evaluate the confidence level of conclusions. Default: true.