export declare const RAPID_GRADUATE = "# /rapid-graduate \u2014 Graduate Rapid Test to Full Pipeline\n\n## What This Does\n\nGraduates a successful rapid test into the full Business Execution OS pipeline. Credits the compressed research, carries forward winning data, and initializes the full pipeline at the appropriate stage.\n\n## Trigger Context\nAfter `/rapid-check` produces a GRADUATE verdict. User runs `/rapid-graduate [market-slug]`.\n\n## Execution Protocol\n\n### Step 1: Validate Graduation\n\nCheck `pipeline-state.json` \u2192 `rapid_tests.[market-slug]`:\n- If slug doesn't exist: \"No rapid test found for '[market-slug]'. Run /rapid-status to see your tests.\"\n- If status is not \"graduated\": \"This test hasn't received a GRADUATE verdict yet. Current status: [status]. Run /rapid-check with your final numbers first.\"\n- If `graduated_to` is already set: \"This test was already graduated on [date]. Full pipeline entry exists. Run /status to see it.\"\n\n### Step 2: Extract Transferable Data\n\n**From buyer snapshot** (`assets/[market-slug]/rapid-test/buyer-snapshot.md`):\n- Target audience description\n- Top 3 pains in buyer language\n- Failed solutions\n- The gap\n- Promise\n- Simple mechanism\n- Price range validated\n- Audience targeting data\n\n**From ad copy and daily checks** (pipeline state):\n- Which ad angle performed best (highest CTR): pain-first / failed-solution / promise-first / contrarian / social-proof\n- Landing page conversion rate (clicks to conversions)\n- Cost per click benchmarks\n- Total conversions achieved\n- Best-performing audience targeting details (if available from user's reports)\n\n### Step 3: Determine Graduation Path\n\n**Path A \u2014 Strong Signal (10+ conversions or any sale):**\nRecommended path. Signal is clear, invest in depth.\n- Skip: /scout, /autonomy, /market-intel\n- Run: /research (expanded, with rapid test data as seed) \u2192 standard pipeline from /build-blocks\n\n**Path B \u2014 Moderate Signal (graduated with 3-9 conversions):**\nSignal exists but benefit from deeper research before committing to full build.\n- Skip: /scout, /market-intel\n- Run: /autonomy (quick check) \u2192 /research (expanded) \u2192 standard pipeline from /build-blocks\n\nPresent the recommendation and let the user confirm.\n\n### Step 4: Create Full Pipeline Entry\n\nAdd to `pipeline-state.json` \u2192 `pipelines`:\n\n```json\n{\n  \"[market-slug]\": {\n    \"market_name\": \"[market-slug]\",\n    \"created\": \"[today]\",\n    \"updated\": \"[today]\",\n    \"current_stage\": \"therapeutic_buyer\",\n    \"graduated_from_rapid_test\": true,\n    \"rapid_test_data\": {\n      \"test_dates\": \"[start_date] to [end_date]\",\n      \"total_spend\": [X],\n      \"total_conversions\": [X],\n      \"best_ctr\": [X],\n      \"winning_ad_angle\": \"[angle name]\",\n      \"landing_page_conversion_rate\": [X],\n      \"cost_per_conversion\": [X],\n      \"buyer_snapshot_file\": \"assets/[market-slug]/rapid-test/buyer-snapshot.md\"\n    },\n    \"autonomy_score\": {\n      \"total\": null,\n      \"classification\": null,\n      \"dimensions\": {},\n      \"flag\": \"Not yet scored \u2014 rapid test skipped autonomy. Run /autonomy if concerned about buildability.\"\n    },\n    \"layer_1\": {\n      \"scout\": {\n        \"status\": \"complete\",\n        \"completed_at\": \"[rapid test created date]\",\n        \"output_file\": \"assets/[market-slug]/rapid-test/buyer-snapshot.md\",\n        \"note\": \"Credited from rapid test. Paid traffic validated market demand \u2014 stronger signal than desk research.\"\n      },\n      \"market_intelligence\": {\n        \"status\": \"credited_from_rapid_test\",\n        \"completed_at\": \"[rapid test end date]\",\n        \"score\": null,\n        \"output_file\": null,\n        \"note\": \"Market viability confirmed by real ad spend: $[spend] produced [conversions] conversions. Full 120-point scoring available via /market-intel if needed before scaling.\"\n      },\n      \"therapeutic_buyer\": {\n        \"status\": \"needs_expansion\",\n        \"completed_at\": null,\n        \"personas_count\": null,\n        \"primary_persona\": null,\n        \"output_file\": null,\n        \"note\": \"Buyer snapshot exists from rapid test (assets/[slug]/rapid-test/buyer-snapshot.md). Run /research to expand into full therapeutic buyer package. The snapshot will be passed as seed data.\"\n      },\n      \"building_blocks\": { \"status\": \"pending\", \"completed_at\": null, \"output_file\": null },\n      \"stress_test\": { \"status\": \"pending\", \"completed_at\": null, \"verdict\": null, \"score\": null, \"output_file\": null },\n      \"unit_economics\": {\n        \"status\": \"pending\",\n        \"completed_at\": null,\n        \"verdict\": null,\n        \"product_price\": null,\n        \"break_even_cpa\": null,\n        \"target_cpa\": null,\n        \"daily_budget\": null,\n        \"days_to_statistical_confidence\": null,\n        \"financial_guardrails\": {},\n        \"output_file\": null,\n        \"note\": \"Rapid test CPA data available as baseline: $[cost_per_conversion] per conversion at test scale.\"\n      }\n    },\n    \"layer_2\": {\n      \"name_lock\": { \"status\": \"pending\", \"locked_at\": null, \"product_name\": null, \"mechanism_name\": null, \"system_name\": null, \"tagline\": null, \"domain\": null, \"social_handle\": null, \"revision_count\": 0, \"output_file\": null },\n      \"platform_engine\": { \"status\": \"pending\", \"completed_at\": null, \"platform\": null, \"medium\": null, \"output_file\": null },\n      \"product_architecture\": { \"status\": \"pending\", \"completed_at\": null, \"modules_count\": null, \"agent_built_pct\": null, \"output_file\": null },\n      \"copy_structure\": { \"status\": \"pending\", \"completed_at\": null, \"assets\": [], \"output_file\": null },\n      \"campaign_deployment\": { \"status\": \"pending\", \"completed_at\": null, \"assets\": [], \"output_file\": null },\n      \"qa_gate\": { \"status\": \"pending\", \"completed_at\": null, \"verdict\": null, \"overall_score\": null, \"checks\": {}, \"corrections_applied\": {}, \"assets_cleared\": [], \"output_file\": null }\n    },\n    \"layer_3\": {\n      \"validation_tier_1\": {\n        \"status\": \"credited_from_rapid_test\",\n        \"completed_at\": \"[rapid test end date]\",\n        \"verdict\": \"ADVANCE\",\n        \"deployment_package\": \"assets/[market-slug]/rapid-test/\",\n        \"validation_window\": { \"start\": \"[start]\", \"end\": \"[end]\", \"days\": [duration] },\n        \"thresholds\": {},\n        \"daily_checks\": [],\n        \"aggregate_metrics\": {\n          \"total_spend\": [rapid_test_spend],\n          \"total_clicks\": [rapid_test_clicks],\n          \"total_signups\": [rapid_test_conversions],\n          \"total_conversions\": null,\n          \"final_cpa\": [rapid_test_cpa],\n          \"final_ctr\": [rapid_test_ctr]\n        },\n        \"signals\": {},\n        \"output_file\": null,\n        \"note\": \"Tier 1 signal validation completed via rapid test. Demand confirmed.\"\n      },\n      \"validation_tier_2\": { \"status\": \"pending\", \"completed_at\": null, \"verdict\": null, \"deployment_package\": null, \"validation_window\": {}, \"thresholds\": {}, \"daily_checks\": [], \"aggregate_metrics\": {}, \"signals\": {}, \"output_file\": null },\n      \"validation_tier_3\": { \"status\": \"pending\", \"completed_at\": null, \"verdict\": null, \"deployment_package\": null, \"validation_window\": {}, \"thresholds\": {}, \"daily_checks\": [], \"aggregate_metrics\": {}, \"signals\": {}, \"output_file\": null },\n      \"iteration_history\": []\n    },\n    \"traffic_agent\": {\n      \"traffic_strategy\": { \"status\": \"pending\", \"channels_selected\": [], \"budget_allocation\": {}, \"output_file\": null },\n      \"channel_deployment\": { \"status\": \"pending\", \"channels_live\": [], \"output_files\": [] },\n      \"creative_testing\": { \"status\": \"pending\", \"batches_tested\": 0, \"active_winners\": [], \"killed\": [], \"fatiguing\": [], \"output_files\": [] },\n      \"funnel_optimization\": { \"status\": \"pending\", \"tests_run\": 0, \"current_bottleneck\": null, \"conversion_chain\": {}, \"output_files\": [] },\n      \"scale_protocol\": { \"status\": \"pending\", \"readiness_met\": false, \"output_file\": null },\n      \"traffic_performance\": { \"total_spend\": 0, \"total_revenue\": 0, \"roas\": null, \"cpa\": null }\n    },\n    \"daily_operations\": { \"daily_checks\": [], \"weekly_summaries\": [], \"last_check_date\": null },\n    \"passive_portfolio\": { \"status\": \"not_started\", \"phases\": {}, \"asset_tracking\": [], \"portfolio_metrics\": {}, \"quarterly_reviews\": [], \"output_files\": [] },\n    \"decisions\": [\n      {\n        \"date\": \"[today]\",\n        \"type\": \"graduation\",\n        \"details\": \"Graduated from rapid test. Signal: [key metric]. Path: [A or B].\"\n      }\n    ],\n    \"notes\": [\"Graduated from rapid test on [today]. Rapid test data in assets/[slug]/rapid-test/.\"],\n    \"voice_extraction\": { \"status\": \"not_started\", \"business_slug\": null, \"extraction_cycle\": 0, \"accumulated_count\": 0, \"threshold\": 20, \"patterns\": {}, \"voice_doc_path\": null, \"voice_state_path\": null, \"quarterly_reviews\": [] }\n  }\n}\n```\n\n### Step 5: Update Rapid Test Entry\n\nIn `pipeline-state.json` \u2192 `rapid_tests.[market-slug]`:\n- Set `graduated_to` to `\"[market-slug]\"` (the pipelines key)\n- Set `graduation_date` to today\n\n### Step 6: Create Research Seed File\n\nCreate `assets/[market-slug]/research/rapid-test-seed.md` with compiled data from the rapid test to feed into the full `/research` command:\n\n```\nRAPID TEST SEED DATA \u2014 [Market/Idea]\nSource: Rapid test conducted [dates], $[spend] spent, [conversions] conversions\n\nThis file is seed data for the full Therapeutic Buyer Engine (/research).\nUse these confirmed findings as starting points \u2014 expand and deepen, don't start from scratch.\n\nCONFIRMED PAINS (real people clicked/converted on these):\n[top pains from buyer snapshot, annotated with which ad angles performed]\n\nCONFIRMED LANGUAGE:\n[language that worked in ads \u2014 the winning ad's primary text hooks]\n\nWINNING ANGLE: [angle name] \u2014 [why it likely worked based on data]\nLOSING ANGLES: [angles that underperformed \u2014 avoid these framings]\n\nPRICE SENSITIVITY:\n[price range from snapshot + any conversion data at price point]\n\nAUDIENCE THAT RESPONDED:\n[targeting details + any audience insights from Meta]\n\nGAPS TO FILL WITH FULL RESEARCH:\n- Full pain architecture (only have top 3, need 5-7 with root vs. surface distinction)\n- Complete failed solutions map (only have summary, need detailed map)\n- Identity gap analysis (not yet done)\n- Full language bank (only have 5-8 phrases, need 20-30)\n- Sophistication and awareness level scoring\n- Transformation narrative\n- Complete customer avatar\n```\n\n### Step 7: Present Summary\n\n```\nGRADUATED: [Idea Name] \u2192 Full Pipeline\n\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n\nRapid test data credited:\n  Scout: CREDITED (demand confirmed via $[spend] ad spend)\n  Market Intel: CREDITED (viability proven by [conversions] conversions)\n  Tier 1 Validation: CREDITED ([key metric] exceeded threshold)\n  Buyer Snapshot: SEEDED (will expand via /research)\n\nData advantages you now have:\n  - Winning ad angle: [angle] ([CTR]% CTR)\n  - Real CPA baseline: $[cost_per_conversion]\n  - Landing page conversion rate: [X]%\n  - Confirmed buyer language that drives clicks\n\nFull pipeline initialized. Recommended next step:\n\n  /research [market-slug]\n    Expands your buyer snapshot into full therapeutic buyer research.\n    Your rapid test findings are pre-loaded as seed data.\n    Estimated: ~15 min (subagent runs 25-35 searches, starting from your confirmed data)\n\n  Then: /build-blocks \u2192 /stress-test \u2192 /unit-economics \u2192 build \u2192 deploy \u2192 validate\n\nTime saved vs. starting fresh: ~1-2 hours (scout + market-intel + Tier 1 validation skipped)\nData advantage: You have REAL conversion data, not estimates.\n```\n\n## Autonomy\nTier 2 \u2014 Notify & Proceed. The data justified graduation; this is a mechanical state transfer.\n\n## Output\nFull pipeline entry in pipeline-state.json. Research seed file created. Rapid test entry updated. Summary presented inline.\n\n## Next Step\n`/research [market-slug]` \u2014 expand buyer snapshot into full therapeutic buyer package, then standard pipeline flow.";
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