CSC – Example Walkthrough¶
A frozen, illustrative run of the Cognitive Signal Chain (CSC) to demonstrate correct usage without prescribing behavior
1. Purpose¶
This document provides a single, concrete walkthrough of CSC in use.
Its purpose is to:
- anchor abstract definitions in reality
- demonstrate correct sequencing and mode discipline
- serve as a reference example for future interpretation
This is not a template, checklist, or recommended workflow.
2. Scope and Constraints¶
This walkthrough:
- covers one hypothetical but realistic design situation
- shows one possible traversal of CSC
- is intentionally frozen in time
It does not claim optimality or generality.
3. Scenario Description¶
Situation: A systems designer notices repeated friction between clients and vendors during software delivery, specifically around responsibility, expectations, and blame during delays.
Initial state:
- Anecdotal observations
- Conflicting narratives from different parties
- No clear agreement on where failure originates
Intent: Determine whether a cooperation system is needed, and if so, design one responsibly.
4. Pedal 1: Sensemaking GPT¶
Input¶
- Notes from past engagements
- Informal conversations
- Personal observations
Activity (Allowed)¶
- Group recurring tensions
- Surface contradictions
- Restate signals neutrally
Output Artifacts¶
- Pattern cluster: "Responsibility unclear at handoff points"
- Pattern cluster: "Success defined differently by clients and vendors"
- Open question: "Where does accountability actually transfer?"
Notes¶
- No solutions proposed
- No systems named
- Ambiguity preserved
5. Pedal 2: Assumption Excavator GPT¶
Input¶
- Pattern clusters from Sensemaking GPT
Activity (Allowed)¶
- Translate patterns into assumptions
- Separate observation from interpretation
Output Artifacts¶
- Assumption: "Both parties share the same definition of 'done'"
- Assumption: "Responsibility follows role titles"
- Assumption: "Delays are caused by poor execution, not structural gaps"
Notes¶
- Assumptions labeled, not judged
- Confidence levels noted as low to medium
6. Pedal 3: System Design Lens GPT¶
Input¶
- Explicit assumption list
Activity (Allowed)¶
- Frame the concrete failure
- Choose unit of analysis (client–vendor relationship)
- Define decision optimized (who owns what, when)
- Impose constraints
Output Artifacts¶
- System contract draft for a Human Cooperation System
- Non-negotiable rule: "Every deliverable has a single accountable owner"
- Explicit misuse warning: "System fails if accountability is symbolic"
Notes¶
- Design grounded in named assumptions
- Tradeoffs explicitly acknowledged
7. Pedal 4: Red Team / Misuse GPT¶
Input¶
- System contract and constraints
Activity (Allowed)¶
- Simulate incentive misuse
- Stress-test accountability rules
Output Artifacts¶
- Misuse scenario: "Client offloads responsibility while retaining control"
- Failure mode: "Accountability becomes ceremonial under power asymmetry"
- Condition of collapse: "No enforcement mechanism for ownership"
Notes¶
- No redesign performed
- System fragility made explicit
8. Re-entry Example¶
Trigger: Red Team reveals accountability collapse under asymmetric power.
Action: Re-enter System Design Lens GPT.
Revised Artifact¶
- Added constraint: "Accountability must be paired with decision authority"
This revision is explicitly logged.
9. Pedal 5: Translation GPT¶
Input¶
- Revised system contract
- Misuse warnings
Activity (Allowed)¶
- Adapt language for practitioners
- Surface warnings prominently
Output Artifacts¶
- Plain-language explanation of the cooperation system
- Onboarding example illustrating correct accountability transfer
- Explicit caveat section
Notes¶
- No structural changes introduced
- System integrity preserved
10. Walkthrough Summary¶
This example demonstrates:
- sequential cognitive mode enforcement
- artifact-based context transfer
- legitimate re-entry without mode collapse
- separation between design and explanation
11. What This Example Is Not¶
This walkthrough is not:
- a prescription
- a best practice
- a canonical use case
Different situations will require different presets and traversals.
12. Relationship to CSC¶
This document:
- anchors CSC in lived practice
- provides a shared reference point
- reduces misinterpretation of abstract rules
CSC relies on examples like this to remain grounded without becoming rigid.
End of CSC Example Walkthrough.