MasteryMade · Template

Template: Expert Boarding Pack

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

1. Boarding milestone tracker

Visual checklist of 4 boarding milestones. Each must be cleared before full extraction begins.

MilestoneWhat's neededStatus
1: Brand assetsLogo, colors, fonts, tagline
2: Extraction interviewsMinimum 2 recorded sessions (45+ min each). Governance doc if available.
3: Content permissionsYouTube API access, email list, LinkedIn, podcast feed. Not required for MVP — required for content machine (PRD 8).
4: Offer approvalPricing 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.

2. Expert profile

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]

3. IP inventory

3A: Product architecture

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).

3B: Core frameworks

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]

3C: Content assets

FileLocationTypeModule mapping
[System prompt][path]AI systemAll modules (monolithic — needs decomposition)
[Knowledge files][path]ReferenceModules 4-6 (embedded IP, modularization, meta-structures)
[Interview transcripts][path]Extraction sourceModules 1-3, 7-8 (thinking, voice, CTA, patterns, prompts)
[Governance doc][path]RulesModule 1 (thinking rubric), Module 3 (CTA guardrails)

3D: Partnerships

List active partnerships with revenue model, network value, and pricing.

4. PRD 4 module mapping

For each module, identify source material and extraction status. This becomes the reconciliation doc.

ModuleSource materialExtracted?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]

5. Build phase tracker

PhaseDescriptionStatusETA
ExtractionModules 1-9 structured JSON
Validation3-pass (forward, backward, ground truth)
betaapp.io deployClone on MasteryOS platform
Competitor intel5 competitors identified + analyzed
Content machineFirst month content calendar
Wave 15 alpha users
Wave 250-100 invite-only
Wave 3Public launch

6. Pricing + monetization

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.]

7. Onboarding flow

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]

8. LLM context block

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

Usage

To start a new expert extraction:

  1. Clone this template to [expert].asapai.net/boarding-pack
  2. Replace all [PLACEHOLDER] values with expert-specific data
  3. Create a reconciliation doc at plans.asapai.net/[expert]-reconciliation using the reconciliation template
  4. Follow the execution playbook steps 2-10
  5. Register both pages in command center

MASTERYMADE · Template v1.0