A.1.2: Case Study #2: Mechanics & Application
The Revealing Mechanism
Note 1: This outline provides guidance specific to Case Study #2, complementing the general case study rubric [link].
Note 2: See [link] for some illustrative examples of mechanisms.
The Brief
Understand the high-level algorithmic structure of an AI-powered method, function, or system.
Investigate how it operates and analyse how its design shapes behaviour.
You are not analysing surface outputs.
You are analysing the underlying process.
Your analysis should address the following questions.
1. What problem or function is the system designed to address?
• Problem / Function
– What is the main objective of the task?
– Why is this problem important?
– Why does this mechanism exist within the system?
2. What is the mechanism?
• Mechanism Explanation
– Describe clearly how it operates.
– Explain how the overall task breaks down into algorithmic steps or modules.
• Your explanation should show
– The overall workflow of the system
– The specific mechanism you are analysing
– Inputs → transformations → outputs
Avoid unnecessary jargon.
Focus on structural clarity.
3. What does this mechanism enable — and what does it limit?
• Capabilities
– What strengths or behaviours does the mechanism enable?
• Limitations
– What trade-offs, distortions, or failure patterns arise from its design?
4. If the mechanism changed, what would change?
• Causal reasoning
– Explain how structural design choices create the system’s strengths, limits, and failure patterns.
• Comparison
– Where helpful, compare your mechanism to an alternative design or configuration.
Your analysis should reveal one key insight about how the mechanism shapes system behaviour.
What a Strong Submission Demonstrates
A strong submission will:
- Isolate one mechanism clearly
- Diagram the overall workflow of the system
- Zoom into the selected module
- Identify inputs → transformations → outputs
- Explain how structural design leads to behavioural outcomes
Your writing should demonstrate algorithmic thinking and structural clarity.
Choosing Your Mechanism
Your mechanism should be:
- Specific
- Structurally identifiable
- Narrow enough to analyse clearly
- Causally linked to system behaviour
Do not choose something broad like “AI” or “machine learning.”
Focus on one clearly defined mechanism within a system.
Explain the mechanism conceptually.
You may reference specific techniques where necessary to clarify how it works.
Do not turn this into a technical manual.
Clarity over breadth.
Mechanism over surface.
See [link] for some illustrative examples of mechanisms.
Deliverables
Your submission must include four parts.
i. Annotation (≈500 words)
Provide a short written annotation accompanying your case study.
• Title
– A clear title identifying the system or mechanism studied.
• Caption / Description
– A brief written explanation summarising the focus of your case study.
ii. The Artefact
Your artefact consists of two components:
• Supporting Explanation — contextual material that frames the system and the mechanism you analyse
• Mechanism Representation — the core explanation showing how the mechanism operates
Think of this as telling the story of the system first, then revealing how the mechanism works.
Explanation Layer (Supporting Context)
This section provides the context needed to understand the mechanism under study.
It is essentially the story or narrative that frames your mechanism.
It may include slides, visual examples, short demonstrations, or other explanatory material.
Your explanation layer should generally follow the sequence below.
• Problem
– Illustrate the real-world task or use case the system is designed to address.
• System Context
– Provide brief background on the system or application being studied.
• Mechanism (Overview)
– Identify the mechanism you will analyse.
– The detailed explanation follows in the next section.
• Assessment
– Provide preliminary observations about what the system does well and where it struggles.
• Comparison (if relevant)
– Introduce any alternative approaches or configurations that may be referenced later.
The goal of this section is to frame the system and prepare the reader for the detailed mechanism explanation.
This corresponds to the contextual slides or images that accompany your core artefact in the online gallery documentation.
Mechanism (Core Artefact)
This section is the central focus of the artefact.
Explain how the mechanism operates using clear diagrammatic representations.
Your explanation should make visible:
• The overall workflow of the system
• The specific module or mechanism you are analysing
• Inputs → transformations → outputs
• How information changes across the pipeline
Where relevant, present multiple levels of abstraction:
• System-level overview — the overall pipeline
• Module-level breakdown — the mechanism you selected
• Internal functional logic — how the mechanism operates
If the system is complex, focus on the overall structure plus one clearly analysed sub-mechanism.
The goal is to make the hidden architecture legible.
This is not a demo of outputs and not an exercise in aesthetic polish.
Your priority is clarity of algorithmic structure and explaining how system behaviour emerges from design choices.
iii. Vignette
The vignette is a short-form video presentation summarising your case study.
• Duration: approximately 90 seconds
Your video should clearly communicate:
• The system or application studied
• The mechanism you investigated
• Your key insight about how the mechanism shapes behaviour
iv. Evidences (Optional)
You may include supplementary materials in an appendix, such as:
• Code snippets
• Parameter sweeps
• Prompt comparisons
• Additional diagrams or tables
• Experimental results
Grading Criteria
In a nutshell
We are not grading:
- Advanced mathematics
- Sophisticated coding
- Exhaustive technical coverage
We are grading:
| Criterion | What It Means |
|---|---|
| Understanding | Do you correctly explain how the mechanism works? |
| Causal Reasoning / Comparison | Do you link structural design choices to observable system behaviour, including how behaviour might change under alternative designs? |
| Limitations | Do you identify meaningful trade-offs, constraints, or failure modes introduced by the mechanism? |
| Clarity | Can you explain complex ideas in a precise and accessible way? |
| Visual Explanation | Do your diagrams or visual representations clearly communicate the mechanism and information flow? |
Rubric
| Criterion | Excellent | Adequate | Insufficient |
|---|---|---|---|
| Mechanism Accuracy | Structurally correct and clearly articulated explanation of how the mechanism operates | Mostly correct explanation with minor gaps or simplifications | Superficial, vague, or incorrect description of the mechanism |
| Causal Analysis | Clear linkage between structural design and system behaviour, with thoughtful comparison or reasoning | Some connection between structure and behaviour, but underdeveloped | Describes outputs or observations without structural reasoning |
| Failure Awareness | Identifies meaningful trade-offs, limitations, or structural constraints | Mentions limitations but without depth or explanation | No meaningful discussion of limitations |
| Clarity of Communication | Complex mechanism explained clearly and accessibly to non-specialists | Explanation understandable but dense or uneven | Obscure, overly technical, or difficult to follow |
| Visual Explanation | Diagrams clearly reveal the system workflow, mechanism, and information flow | Visuals present but only partially clarify the mechanism | Visuals absent, confusing, or decorative rather than explanatory |
Submission Deadline
Original: 📅2026.04.01 ⏰00:00
Extended: 📅2026.04.08 ⏰00:00
The Standard
The goal is not to describe AI.
The goal is to understand how it works.
Do not remain at the surface of outputs.
Demonstrate that you can think in mechanisms, modules, and pipelines.
Don’t just use AI.
Explain it.