MCMetacognitionID: MC-049

Causal Replay Debugger

Ki · Single Ability

The Problem

The checkout service crashed and we've documented the incident, cascading errors across three microservices, root cause still unknown. Summary: payment processing failure leading to order corruption. Moving on to the next sprint.

The Operation

This cognitive operation forces the model to identify the failed output and trace the causal chain backward from the failure point to the inputs. Isolate each reasoning step and check whether its output correctly follows from its inputs. Flag the first step where output diverges from valid inference and classify the error as logical, factual, or procedural. Verify that the identified error is the root cause by simulating a corrected version and propagating it forward. Extract a corrective rule to prevent recurrence. It will not accept surface level explanation failure.

The Structure

Structurally, this is a bidirectional verification that checks conclusions from both directions. The loop runs until all inputs are processed or no new progress emerges.

If an error's origin is not traced by replaying the reasoning chain step by step to the divergence point, causal replay debugging was skipped.

Haki · Multi Ability

Synergy Topology

In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.

When retrieved in Haki mode, these four abilities don't run in sequence. They merge into a single injection where the dependency grounds the reasoning context, the amplifier sharpens the primary's output, and the alternative provides a fallback path if the primary's topology cannot converge. The result is a multi-angle reasoning scaffold that covers failure modes no single ability can reach alone.

Appears in Use Cases