Implementation Plan

Phase 1: Launch (Week 1)

Setup

1. Deploy the framework — Fork this repo to the organization’s GitHub. Enable GitHub Pages for instant web access.
2. Create a communication channel — Dedicated space for AI fluency discussions, exercise sharing, and daily micro-lessons (Teams, Slack, or whatever the org uses).
3. Establish a content hub — Central location for supplementary materials, feedback forms, and progress tracking.
4. Announce the program — Short, clear communication from leadership framing this as a priority, not optional.

Week 1 Rollout

Self-Assessment Entry Point

Learners answer 4 questions to determine their starting level:

1. Have you used an AI tool (ChatGPT, Claude, Grok) more than once? → No = Beginner
2. Can you write a structured prompt with role, context, and constraints? → No = Beginner, Yes = continue
3. Do you use AI at least weekly in your work? → No = Capable, Yes = continue
4. Have you redesigned a workflow or process to include AI? → No = Proficient, Yes = Expert

No shame in starting at Beginner. The slope matters, not the starting point.

Phase 2: Micro-Learning Delivery (Weeks 2-4)

Daily Micro-Lessons

Short, focused prompts delivered through the communication channel. 10-15 minutes each. Examples:

Week 2 — Foundations:

• Mon: “Use AI to summarize a policy document you need to review this week.”
• Tue: “Ask AI to help you draft an email you’ve been putting off. Compare the draft to what you would have written.”
• Wed: “Find one task in your day that AI could help with. Try it.”
• Thu: “Ask AI to explain a concept you encounter at work but don’t fully understand.”
• Fri: “Fluency slope check-in: What did you try this week? What worked?”

Week 3 — Building Habits:

• Mon: “Create a structured prompt for a recurring task. Save it.”
• Tue: “Chain two prompts together: ask AI something, then ask it to go deeper on one point.”
• Wed: “Ask AI to help you prepare for a meeting (agenda, talking points, background).”
• Thu: “Use AI to analyze data or compare options for a decision you’re making.”
• Fri: “Share one thing you learned this week in the channel.”

Week 4 — Autonomy:

• Mon: “Identify a workflow in your area that could be AI-first. Map the current steps.”
• Tue: “Ask AI to redesign that workflow. Compare its suggestions to your ideas.”
• Wed: “Teach someone else one AI technique you’ve learned.”
• Thu: “Evaluate a new AI tool using the framework from the Expert level.”
• Fri: “Final fluency slope check-in: How has your AI use changed over 4 weeks?”

Personalization via AI Agents

Agents tailor the micro-lessons based on:

• Level — Beginner gets foundational prompts; Expert gets innovation challenges
• Role — Customer-facing staff get communication exercises; admin get operational ones
• Slope — Learners showing flat slope get encouragement and alternative exercises; steep slope learners get accelerated content

Phase 3: Sustain (Ongoing)

Monthly Cadence

• Week 1: New micro-lesson theme introduced
• Week 2-3: Exercises and practice
• Week 4: Fluency slope check-in + retrospective

Quarterly Content Review

AI agents perform a full content review:

1. Analyze feedback and slope data across the organization
2. Identify stale exercises (tools changed, better approaches exist)
3. Propose content updates with rationale
4. Administrator reviews and approves changes
5. Updated content deployed automatically via the repo

Continuous Improvement Loop

Infrastructure Requirements

Risk Mitigation