bRRAIn Certified AI-Augmented Practitioner

What being AI-augmented means, the four-quadrant model, the three plateaus, the AI-fluency vocabulary, an honest self-assessment, and a tour of bRRAIn Nexus as a workspace where AI answers from memory you capture.

1. Module 1 pretest Diagnostic pretest · 5 min
2. What 'AI-augmented' actually means Reading · 12 min
3. The four-quadrant model: delegate, collaborate, verify, refuse Reading · 15 min
4. The three plateaus most early AI users hit Reading · 12 min
5. The AI-fluency vocabulary you'll keep using Reading · 12 min
6. Chat toy vs. work tool — the operator's mindset shift Reading · 10 min
7. Self-assessment: where are you on the Maturity Matrix today? Scenario · 15 min
8. Your AI workspace: bRRAIn Nexus, from the free Solo tier up Reading · 15 min
9. Retrieval: Module 1 check Retrieval check · 10 min

The five-element prompt; why role and context carry the most leverage; checkable constraints and a format chosen for what happens next; three-round iteration; showing an example; and diagnosing weak prompts by element — in any assistant and in Ask.

1. Module 2 pretest Diagnostic pretest · 5 min
2. The five-element prompt pattern Reading · 15 min
3. Role — the most-skipped, highest-leverage element Reading · 12 min
4. Context — what the AI doesn't have and you must supply Reading · 12 min
5. Constraints and format — bounding the output and shaping it for what happens next Reading · 20 min
6. The three-round iteration pattern — never start over Reading · 12 min
7. Show, don't tell — one well-chosen example beats five rules Reading · 12 min
8. Diagnosing weak prompts in the wild Worked example · 15 min
9. Lab 1: Rewrite three weak prompts with a skeptical colleague AI role-play lab · 45 min
10. Retrieval: Module 2 check Retrieval check · 10 min

What you never delegate, however good the AI gets: the irreversibility, consequence and personal-judgment rules; what a real human gate is; sycophancy; keeping your point of view in an AI-drafted document; and auditing a workflow step by step.

1. Module 3 pretest Diagnostic pretest · 5 min
2. The irreversibility rule — once it's sent, you sent it Reading · 12 min
3. The consequence rule — high-stakes outputs need a human gate Reading · 12 min
4. The personal-judgment rule — you can't outsource what you mean Reading · 12 min
5. Sycophancy — when the AI tells you what you want to hear Reading · 12 min
6. Holding the human point of view in an AI-drafted document Reading · 12 min
7. Worked example: auditing your own workflow Worked example · 15 min
8. Lab 2: Audit a renewal-rescue workflow with a manager who wants to automate it all AI role-play lab · 45 min
9. Retrieval: Module 3 check Retrieval check · 10 min

Hallucination and the three signals; scope drift and the reset move; the redaction rule with your organization's AI policy and model choice; verification depth matched to consequence; and checking grounded answers that cite your organization's own documents.

1. Module 4 pretest Diagnostic pretest · 5 min
2. Hallucination — what it is, why it happens, how it looks Reading · 12 min
3. Three reliable hallucination signals Reading · 12 min
4. Scope drift — the slow failure mode no one notices until the deliverable is wrong Reading · 12 min
5. The reset move — re-seed the context, don't restart the chat Reading · 10 min
6. The redaction rule — what never goes into an AI you haven't cleared Reading · 15 min
7. Verifying citations, quotes and statistics before forwarding Reading · 12 min
8. Worked example: checking a grounded answer against your organization's memory Worked example · 15 min
9. Lab 3: Catch the fabrications before the brief goes to leadership AI role-play lab · 45 min
10. Retrieval: Module 4 check Retrieval check · 10 min

Four proven professional standards re-taught as AI-augmented workflows: SMART goals stress-tested letter by letter, STAR stories you own, GTD capture and clarify with AI triage (including Nexus Mobile capture, Plan and Lists), and personal PDCA with AI as the Check partner.

1. Module 5 pretest Diagnostic pretest · 5 min
2. SMART goals — and the AI prompt that stress-tests each letter Reading · 15 min
3. STAR storytelling — where the AI helps and where it can't Reading · 12 min
4. GTD capture and clarify — the AI as your inbox triage partner Reading · 15 min
5. Personal PDCA — a Plan-Do-Check-Act loop on one recurring deliverable Reading · 12 min
6. Where each standard ends and you take over Reading · 12 min
7. Pick one standard and run it for a week Scenario · 12 min
8. Lab 4: Turn a manager's vague goal into a SMART goal, stress-tested in three rounds AI role-play lab · 45 min
9. Retrieval: Module 5 check Retrieval check · 10 min

Choosing a modality by task shape; your personal context and where it lives (a document, or a Nexus note alongside Projects and Memory); the morning re-supply from Home's Morning brief; mid-day session discipline; the close-of-day note routed to Notes, Plan and the decision record; the week as one cadence; and the capstone.

1. Module 6 pretest Diagnostic pretest · 5 min
2. Chat vs. voice vs. agent vs. search — pick by task shape, not by trend Reading · 12 min
3. Your personal context — the one document that does the most work Reading · 15 min
4. The morning re-supply ritual Reading · 12 min
5. Mid-day discipline — when to keep the chat, when to start fresh Reading · 12 min
6. Close-of-day capture — making tomorrow a continuation Reading · 12 min
7. Worked example: one week of AI-augmented work Worked example · 15 min
8. Lab 5: Build your working context and run one day on it AI role-play lab · 45 min
9. Retrieval: Module 6 check Retrieval check · 10 min
10. Capstone: Fix client onboarding with AI — and show your manager how you did it AI role-play lab · 60 min