# Untitled — HC v1.1
> Source: https://ideas.asapai.net/masterymade-gtm-playbook
> Type: artifact | ID: masterymade-gtm-playbook-v1

---
## hc-metadata
{
  "hc_version": "1.1",
  "hc_type": "artifact",
  "artifact_id": "masterymade-gtm-playbook-v1",
  "artifact_name": "MasteryMade 14-Day GTM Playbook",
  "version": "1.0.0",
  "created": "2026-02-08",
  "updated": "2026-02-08",
  "classification": {
    "category": "strategy",
    "subcategory": "go-to-market",
    "tags": [
      "gtm",
      "monetization",
      "14-day-sprint",
      "48-hour-shipping",
      "expert-jv",
      "value-ladder",
      "self-executing-pages",
      "hc-standard"
    ]
  },
  "provenance": {
    "generated_by": "human-ai-collaboration",
    "authors": [
      "Jason MacDonald",
      "Perplexity Deep Research"
    ],
    "organization": "MasteryMade",
    "source_context": "Strategy session analyzing HyperContext standard, competitive landscape, and GTM execution plan"
  },
  "content_metadata": {
    "word_count": 4500,
    "estimated_read_time": "18 minutes",
    "complexity": "intermediate",
    "audience": [
      "internal-team",
      "co-founders",
      "sales-partners"
    ],
    "decision_status": "active-execution"
  },
  "relationships": {
    "parent_artifacts": [],
    "related_artifacts": [
      "hypercontext-hc-standard-v1.1",
      "build-embeddable-agent-playbook",
      "neural-registry-zargoth-v2",
      "substack-toc-skill-v1"
    ],
    "child_artifacts": [],
    "implements": [
      "hypercontext-hc-standard-v1.1"
    ],
    "supersedes": []
  },
  "access": {
    "public": false,
    "shareable": true,
    "downloadable": true,
    "audience": "internal-team"
  },
  "summary": "Complete 14-day go-to-market execution plan for MasteryMade Self-Executing Playbook Pages. Covers: positioning, value ladder ($500 pilot → $2,500 POC → $5K+30% Growth → JV 50/50 by application only), 7 x 48-hour delivery sprints, first customer acquisition playbook, JV partner application framework, and revenue targets. Core product: experts pay to have their methodology turned into HC-powered HTML pages with embedded AI agents."
}