RE11 Calibration Loops

Apply the RE11 Calibration Loops transformation to repeatedly check predictions against outcomes to improve forecasting accuracy.

What is RE11?

RE11 (Calibration Loops) Repeatedly check predictions against outcomes to improve forecasting accuracy.

When to Use RE11

Ideal Situations

• Iterate toward a better solution using feedback loops
• Refine a process through repeated cycles
• Scale a pattern through repetition and standardization

Trigger Questions

• "How can we use Calibration Loops here?"
• "What changes if we apply RE11 to this iterating a workflow over several cycles?"
• "Which assumptions does RE11 help us surface?"

The RE11 Process

Step 1: Define the focus

// Using RE11 (Calibration Loops) - Establish the focus
const focus = "Repeatedly check predictions against outcomes to improve forecasting accuracy";

Step 2: Apply the model

// Using RE11 (Calibration Loops) - Apply the transformation
const output = applyModel("RE11", focus);

Step 3: Synthesize outcomes

// Using RE11 (Calibration Loops) - Capture insights and decisions
const insights = summarize(output);

Practical Example

// Using RE11 (Calibration Loops) - Example in a iterating a workflow over several cycles
const result = applyModel("RE11", "Repeatedly check predictions against outcomes to improve forecasting accuracy" );

Integration with Other Transformations

• RE11 -> CO5: Pair with CO5 when sequencing matters.
• RE11 -> SY8: Use SY8 to validate or stress-test.
• RE11 -> IN3: Apply IN3 to compose the output.

Implementation Checklist

• [ ] Identify the context that requires RE11
• [ ] Apply the model using explicit RE11 references
• [ ] Document assumptions and outputs
• [ ] Confirm alignment with stakeholders or owners

Common Pitfalls

• Treating the model as a checklist instead of a lens
• Skipping documentation of assumptions or rationale
• Over-applying the model without validating impact

Best Practices

• Use explicit RE11 references in comments and docs
• Keep the output focused and actionable
• Combine with adjacent transformations when needed

Measurement and Success

• Clearer decisions and fewer unresolved assumptions
• Faster alignment across stakeholders
• Reusable artifacts for future iterations

Installation and Usage

Nix Installation

{
  programs.moltbot.plugins = [
    { source = "github:hummbl-dev/hummbl-agent?dir=skills/RE-recursion/re11-calibration-loops"; }
  ];
}

Manual Installation

moltbot-registry install hummbl-agent/re11-calibration-loops

Usage with Commands

/apply-transformation RE11 "Repeatedly check predictions against outcomes to improve forecasting accuracy"

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Apply RE11 to create repeatable, explicit mental model reasoning.