Quest: She’ll Be Right Compliance
| Field | Value |
|---|---|
| Category | Creative |
| Difficulty | Journeyman |
| Points | 125 |
| Deadline | 28 days |
| Evidence | Text + Link |
| Objectives | 5 |
Narrative Context
Kiwi tradies are legendary for their work ethic but notorious for their paperwork aversion. Health & Safety compliance is critical but tedious. What if an AI agent could handle the boring bits—generating site safety plans, logging incidents, tracking certifications? This is AI with a practical Kiwi purpose.
Transformation Goal
You will prototype an AI solution for a real NZ compliance problem, learning to navigate local regulations while building something genuinely useful for small businesses.
Objectives
Objective 1: Know the Rules
| Field | Value | |——-|——-| | Points | 20 | | Evidence | Text + Link | | Depends On | — |
Research NZ Health & Safety at Work Act requirements for small businesses. Document 5 key compliance tasks that are paperwork-heavy.
Objective 2: Talk to a Tradie
| Field | Value | |——-|——-| | Points | 25 | | Evidence | Text | | Depends On | — |
Interview a tradesperson or small business owner about their compliance pain points. Summarize findings.
Objective 3: Design the Solution
| Field | Value | |——-|——-| | Points | 30 | | Evidence | Text + Link (mockup) | | Depends On | Objectives 1, 2 |
Create a product concept: what does the AI agent do, what inputs does it need, what outputs does it produce?
Objective 4: Build a Prototype
| Field | Value | |——-|——-| | Points | 35 | | Evidence | Link (code/demo) | | Depends On | Objective 3 |
Implement a working prototype that generates at least one compliance document from user input.
Objective 5: Validate with Users
| Field | Value | |——-|——-| | Points | 15 | | Evidence | Text | | Depends On | Objective 4 |
Get feedback from 2+ potential users. Document what worked and what needs improvement.
Resources
Design Notes
This quest addresses a real pain point identified in the guild’s founding presentation. The user interview requirement ensures solutions are grounded in actual needs, not assumptions.