export declare const DREAM_100 = "# /dream-100 \u2014 Dream 100 Relationship Strategy\n\n## What This Does\n\nResearches and produces a categorized Dream 100 list of real entities who already have your ideal customer's attention, plus tier-specific outreach sequences and a 12-week deployment checklist. Uses live web research to find actual people, podcasts, channels, communities, and platforms \u2014 not hypothetical categories.\n\n## Trigger Context\nAfter buyer research (`/research`) completes. Can run in parallel with Building Blocks, traffic strategy, or any downstream stage. The earlier the better \u2014 relationships take weeks to months to mature, so starting outreach while building the product creates compounding returns.\n\nTrigger phrases: \"dream 100\" / \"relationship marketing\" / \"find influencers\" / \"organic distribution\" / \"who has my audience\" / \"partnership outreach\"\n\n## Prerequisites\n- **REQUIRED**: Therapeutic Buyer Research Package (`assets/[market-name]/research/buyer-research-package.md`)\n  - Pain Architecture, Language Bank, Identity Gap, Customer Avatar, Information Sources\n- **OPTIONAL** (improves outreach value propositions):\n  - Building Blocks (`assets/[market-name]/building-blocks/building-blocks.md`)\n  - Market Intelligence (`assets/[market-name]/research/market-intel-report.md`)\n\nRead `pipeline-state.json`. Verify:\n- `therapeutic_buyer.status == \"complete\"`\n\nIf not met:\n```\nSTAGE_BLOCKED \u2014 Prerequisites not met.\n\nMissing stages:\n  - therapeutic_buyer: status is \"[current]\", needs \"complete\"\n\nRun first:\n  1. /research\n```\n\n## Execution Protocol\n\n### Step 0: Check Learnings + Gather Inputs\n\nSilently check `learnings.json` for patterns with tags: `distribution`, `relationship_marketing`, `outreach`, `organic`, `dream-100`. If relevant patterns exist, pass them to the subagent as additional context.\n\nGather and prepare for subagent:\n```\nFROM buyer research:   assets/[market-name]/research/buyer-research-package.md\nFROM building blocks:  assets/[market-name]/building-blocks/building-blocks.md (if exists)\nFROM market intel:     assets/[market-name]/research/market-intel-report.md (if exists)\n```\n\n### Step 1: Delegate to Subagent\n\n**DELEGATE TO SUBAGENT: `dream-100-researcher`**\n\nPass to subagent:\n- Buyer Research Package (full contents)\n- Building Blocks (if available)\n- Market name and target audience description\n- Any relevant learnings from learnings.json\n- Today's date\n- Output directory: `assets/[market-name]/traffic/dream-100/`\n\nThe subagent runs 15-25 web searches across 10 entity categories:\n1. Podcast Hosts (~15)\n2. YouTube Channels (~12)\n3. Newsletter/Blog Owners (~12)\n4. Community Leaders (~12)\n5. Course Creators (~10)\n6. Social Media Influencers (~10)\n7. Conference/Event Organizers (~8)\n8. Complementary Tool/Platform Owners (~8)\n9. Industry Associations (~7)\n10. Journalists/Media (~6)\n\nCategory counts flex based on buyer research \u2014 weight higher for categories the buyer avatar explicitly mentions.\n\n### Step 2: Receive and Save Output\n\nConfirm all 5 subagent files saved to `assets/[market-name]/traffic/dream-100/`:\n- `dream-100-list.md` \u2014 Master categorized + tiered list of 100 real entities\n- `outreach-sequences.md` \u2014 Tier-specific outreach templates (6/4/3-touch)\n- `outreach-tracker.md` \u2014 Copy-paste spreadsheet tracking template\n- `deployment-checklist.md` \u2014 12-week week-by-week execution plan\n- `dream-100-analysis.md` \u2014 Strategic landscape analysis\n\n### Step 3: Update Pipeline State\n\nAdd or update `dream_100` entry in `pipeline-state.json` under the active pipeline's traffic section:\n\n```json\n{\n  \"dream_100\": {\n    \"status\": \"complete\",\n    \"completed_at\": \"[timestamp]\",\n    \"entities_total\": 100,\n    \"tier_1_count\": 10,\n    \"tier_2_count\": 30,\n    \"tier_3_count\": 60,\n    \"categories\": [\"podcasters\", \"youtube\", \"newsletters\", \"communities\",\n                    \"course_creators\", \"influencers\", \"events\", \"tools_platforms\",\n                    \"associations\", \"media\"],\n    \"outreach_status\": \"not_started\",\n    \"collaborations_active\": 0,\n    \"collaborations_completed\": 0,\n    \"output_files\": [\n      \"assets/[market-name]/traffic/dream-100/dream-100-list.md\",\n      \"assets/[market-name]/traffic/dream-100/outreach-sequences.md\",\n      \"assets/[market-name]/traffic/dream-100/outreach-tracker.md\",\n      \"assets/[market-name]/traffic/dream-100/deployment-checklist.md\",\n      \"assets/[market-name]/traffic/dream-100/dream-100-analysis.md\"\n    ]\n  }\n}\n```\n\n### Step 4: Present Summary to User\n\n```\nDREAM 100 COMPLETE \u2014 [Market Name]\n\nResearch complete. 100 entities identified across 10 categories:\n\n  Tier 1 (Whales \u2014 100K+ audience): 10 entities\n    Top targets: [name 1], [name 2], [name 3]\n    Outreach: 6-touch sequence over 90 days\n\n  Tier 2 (Sweet Spot \u2014 10K-100K): 30 entities\n    Highest-opportunity category: [category with most accessible targets]\n    Outreach: 4-touch sequence over 45 days\n\n  Tier 3 (Accessible \u2014 1K-10K): 60 entities\n    Quick wins: [category with highest expected response rate]\n    Outreach: 3-touch sequence over 21 days\n\nStrategic Analysis:\n  Highest-density: [category] \u2014 [why]\n  Lowest-competition: [category] \u2014 [why]\n  Recommended first 5: [names]\n\nFiles saved to: assets/[market-name]/traffic/dream-100/\n\nNEXT:\n  1. Review dream-100-list.md \u2014 verify entities, add any you already know\n  2. Copy outreach-tracker.md into a spreadsheet (Google Sheets recommended)\n  3. Follow deployment-checklist.md \u2014 Week 1 starts with social engagement + first batch\n  4. After 30 days of outreach: /lessons capture with response pattern data\n```\n\n## Integration Points\n\n### With /traffic-strategy\nWhen `/traffic-strategy` runs after `/dream-100`, the Dream 100 list provides organic channel context. The traffic-agent should factor Dream 100 entities into organic channel scoring \u2014 podcasts, newsletters, and communities in the list are pre-validated organic distribution opportunities.\n\n### With /lessons\nAfter 30 days of active outreach, auto-trigger `/lessons capture` with category `distribution`. Capture: response rates by tier, which entity categories converted best, which outreach templates got responses, which collaboration types were most accepted.\n\n### With /daily-check\nIf Dream 100 outreach is active (`outreach_status: \"active\"`), `/daily-check` should include an outreach status line when the user mentions Dream 100 activity.\n\n## Autonomy\nTier 1 \u2014 Full Auto for research and list generation.\nTier 2 \u2014 Notify & Proceed for presenting the package.\nUser executes outreach manually at their own pace.\n\n## Output\nComplete Dream 100 package in `assets/[market-name]/traffic/dream-100/` (5 files). Pipeline state updated.\n\n## Next Step\nUser reviews list, sets up tracker, and follows 12-week deployment checklist.\nAfter 30 days of outreach data: `/lessons capture` on response patterns.\nDream 100 entities feed into `/traffic-strategy` for organic channel scoring.\nTo refresh the list (quarterly recommended): re-run `/dream-100`.";
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