MasteryMade · Template
Clone this for each new expert extraction. Replace [EXPERT] and [DOMAIN] placeholders. Publish to [expert].asapai.net/boarding-pack.
Reference: PRD 4 · PRD 9 · Live example: Align360 boarding pack
Visual checklist of 4 boarding milestones. Each must be cleared before full extraction begins.
| Milestone | What's needed | Status |
|---|---|---|
| 1: Brand assets | Logo, colors, fonts, tagline | ☐ |
| 2: Extraction interviews | Minimum 2 recorded sessions (45+ min each). Governance doc if available. | ☐ |
| 3: Content permissions | YouTube API access, email list, LinkedIn, podcast feed. Not required for MVP — required for content machine (PRD 8). | ☐ |
| 4: Offer approval | Pricing set, formal partner sign-off, domain registered. | ☐ |
Note: These are "boarding milestones" — NOT the Gate 1-4 data scoping architecture from PRD 2. Different system, different vocabulary.
Name: [EXPERT NAME]
Company: [COMPANY]
Tagline: [TAGLINE]
Bio: [2-3 sentences]
Core expertise: [bullet list]
Unique framework: [Primary framework name + brief description]
Target audience: [Who they serve]
Brand voice: [Tone, reading level, sentence length, what to never say]
Enumerate all tools, frameworks, courses, programs. For each:
| # | Name | Description | Phase/Tier | Active at launch? |
Also list any background/invisible systems that govern behavior (Samuel had 14 of these).
Document the expert's primary methodology. This maps to PRD 4 Module 1 (thinking rubric).
Framework name: [e.g., FLC Wisdom Framework]
Layers/steps: [Sequential steps or layers]
Decision logic: [How the expert decides what to do next]
Validation filter: [How they know output is "done" / "good enough"]
Anti-patterns: [What they actively guard against]
Governing values: [Core values that shape decisions]
| File | Location | Type | Module mapping |
|---|---|---|---|
| [System prompt] | [path] | AI system | All modules (monolithic — needs decomposition) |
| [Knowledge files] | [path] | Reference | Modules 4-6 (embedded IP, modularization, meta-structures) |
| [Interview transcripts] | [path] | Extraction source | Modules 1-3, 7-8 (thinking, voice, CTA, patterns, prompts) |
| [Governance doc] | [path] | Rules | Module 1 (thinking rubric), Module 3 (CTA guardrails) |
List active partnerships with revenue model, network value, and pricing.
For each module, identify source material and extraction status. This becomes the reconciliation doc.
| Module | Source material | Extracted? | Structured JSON? |
|---|---|---|---|
| 1. Thinking rubric | [Primary framework] | ☐ | ☐ |
| 2. Voice + style | [Voice description from profile] | ☐ | ☐ |
| 3. CTA psychology | [Monetization guardrails, anti-patterns] | ☐ | ☐ |
| 4. Embedded IP | [Named frameworks, tools, types] | ☐ | ☐ |
| 5. Modularization | [Teaching sequences, progressions] | ☐ | ☐ |
| 6. Meta-structures | [Program architecture, phase design] | ☐ | ☐ |
| 7. Pattern recognition | [Diagnostics, assessments, typing systems] | ☐ | ☐ |
| 8. Prompt templates | [Q&A pairs from transcripts] | ☐ | ☐ |
| 9. Retrieval patterns | [Background systems, routing logic] | ☐ | ☐ |
| Phase | Description | Status | ETA |
|---|---|---|---|
| Extraction | Modules 1-9 structured JSON | ☐ | |
| Validation | 3-pass (forward, backward, ground truth) | ☐ | |
| betaapp.io deploy | Clone on MasteryOS platform | ☐ | |
| Competitor intel | 5 competitors identified + analyzed | ☐ | |
| Content machine | First month content calendar | ☐ | |
| Wave 1 | 5 alpha users | ☐ | |
| Wave 2 | 50-100 invite-only | ☐ | |
| Wave 3 | Public launch | ☐ |
Primary tier: $[X]/year
Premium tier: $[X]/year
Individual tools: $[X]-[X]/mo
Program pricing: [if applicable]
Referral model: [if applicable]
Monetization guardrails: [What the expert will NOT do — no shame, no urgency, etc.]
Step 1: [Lead magnet / assessment — free, email capture]
Step 2: [Results delivery — gated behind signup]
Step 3: [Account creation]
Step 4: [Discovery questions — personalize experience]
Step 5: [Platform entry with recommendations]
Step 6: [Phase progression — non-linear allowed]
Machine-readable summary for any AI assistant working on this expert's extraction. Copy into system prompts or project context files.
## [EXPERT] PROJECT CONTEXT BLOCK
PROJECT: [Expert Name] — Expert OS Clone on MasteryOS
EXPERT: [Full name, company]
PLATFORM: MasteryOS (betaapp.io deployment)
DOMAIN: [expert domain]
BRAND: colors, fonts, logo, tagline
VOICE: style, tone, reading level, never-do list
FRAMEWORK: [Primary framework name + structure]
PRODUCT: phases, stacks, active at launch
KEY_FILES: [paths to system prompt, knowledge files, transcripts]
BUILD_STATUS: [current milestone, next milestone]
ONBOARDING_FLOW: [numbered steps]
## END CONTEXT BLOCK
To start a new expert extraction:
[expert].asapai.net/boarding-pack[PLACEHOLDER] values with expert-specific dataplans.asapai.net/[expert]-reconciliation using the reconciliation templateMASTERYMADE · Template v1.0