Process Flows & Architecture

Learner Journey

How an individual moves through the framework:

flowchart TD A[Join Program] --> B[Read Safety Guidelines] B --> C[Self-Assess Starting Level] C --> D{Entry Level} D -->|Zero experience| E[Beginner: Foundations] D -->|Some experience| F[Capable: Applied Use] D -->|Regular user| G[Proficient: Workflow Redesign] D -->|Power user| H[Expert: Innovation & Leadership] E --> I[Daily Micro-Lessons] F --> I G --> I H --> I I --> J[Practice Exercises] J --> K[Weekly Fluency Slope Check-in] K --> L{Slope Positive?} L -->|Yes| M[Progress to Next Level] L -->|Flat/Declining| N[Adjusted Content + Support] M --> I N --> I

Micro-Learning Delivery

How daily lessons reach learners and adapt:

flowchart LR A[Content Repo
GitHub] --> B[AI Personalization Agent] C[Learner Profile
Level + Role + Slope] --> B B --> D[Daily Micro-Lesson
Tailored to Learner] D --> E[Communication Channel] E --> F[Learner Completes Exercise] F --> G[Feedback + Slope Data] G --> C

AI Agent Maintenance Cycle

How the framework stays current:

flowchart TD A[Learner Feedback
Exercises, Slope Data, Comments] --> B[Feedback Agent
Aggregate & Analyze] B --> C{Patterns Identified?} C -->|Content gap| D[Content Review Agent
Draft Updates] C -->|Tool change| D C -->|Low engagement| E[Personalization Agent
Adjust Delivery] C -->|No issues| F[No Action Needed] D --> G[Proposed Changes
PR in Repo] G --> H[Admin Review & Approve] H --> I[Merge & Deploy
GitHub Pages Auto-Updates] I --> J[Notify Learners of Changes] E --> K[Update Learner Profiles
Adjust Lesson Difficulty/Type] K --> L[Next Micro-Lesson Adapted]

Technology Stack

flowchart TB subgraph Public["Open Source Core"] A[GitHub Repository
Content + Config] B[GitHub Pages
Web Delivery] A --> B end subgraph Org["Organization Fork (Private)"] C[Forked Repo
Customized Content] D[GitHub Pages
Internal Access] C --> D end subgraph AI["AI Layer"] E[Content Review Agent
Quarterly Updates] F[Feedback Agent
Pattern Analysis] G[Personalization Agent
Learner Adaptation] end subgraph Tools["AI Tools (Free Tier)"] H[ChatGPT] I[Claude] J[Grok] K[CLI Tools] end subgraph Delivery["Communication"] L[Team Channel
Daily Micro-Lessons] M[Feedback Forms
Slope Tracking] end A --> C AI --> C M --> AI Tools --> L D --> L

Fluency Slope Tracking

How growth is measured and acted upon:

flowchart LR A[Weekly Check-in
3 Questions] --> B[Slope Calculation
Breadth + Depth + Experimentation] B --> C{Trend} C -->|Steep Positive| D[Accelerate
Next level exercises] C -->|Gradual Positive| E[Continue
Reinforce current level] C -->|Flat| F[Intervene
Adjust content, check blockers] C -->|Declining| G[Support
Direct outreach, identify issues] D --> H[Update Learner Profile] E --> H F --> H G --> H H --> I[Next Lesson Personalized]

Fork & Customize Model

How organizations adopt the framework:

flowchart TD A[Public Core Repo
AI Fluency
CC BY-NC-SA 4.0] --> B[Organization Forks Repo] B --> C[Make Private if Needed] C --> D[Customize Content
Add internal guidelines
Adjust exercises
Brand for org] D --> E[Deploy via GitHub Pages] E --> F[Configure AI Agents
Point to org channel & forms] F --> G[Launch Program] G --> H[Upstream Updates Available] H --> I{Merge Upstream?} I -->|Yes| J[Pull updates from public core] I -->|No| K[Continue with org version] J --> D

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