export declare const UNIT_ECONOMICS = "# /unit-economics \u2014 Unit Economics Gate\n\n## What This Does\n\nCalculates whether a market is viable at your current budget by working backward from offer price to required traffic metrics. Prevents building assets for markets where the math doesn't work.\n\n## Trigger Context\nAfter Stress Test \u2192 GO, BEFORE Platform/Product. This is a gate \u2014 if the math fails, you don't build.\n\n## Prerequisites\n- Building Blocks (specifically: offer price from Block 3)\n- Market Intelligence Report (industry CPA benchmarks)\n- Buyer Research Package (awareness/sophistication levels \u2192 conversion rate estimates)\n- User's daily budget (ask if not provided)\n\n## Execution Protocol\n\n### Step 1: Define Core Numbers\nCollect or calculate:\n\n```\nREVENUE MODEL:\n  Product Price: $[from Building Block 3 \u2014 Irresistible Offer]\n  Estimated COGS per sale: $[hosting, tools, delivery costs]\n  Gross Margin per sale: $[price - COGS]\n  Target Profit Margin: [default 50% of gross margin]\n\nBUDGET CONSTRAINTS:\n  Daily Ad Budget: $[user provides]\n  Monthly Ad Budget: $[daily \u00D7 30]\n  Validation Budget (Tier 1): $[7 days \u00D7 daily budget]\n```\n\n### Step 2: Work Backward to Maximum Sustainable CPA\n\n```\nBREAK-EVEN CPA: $[Gross Margin per sale]\n  \u2192 This is the absolute ceiling. Above this, you lose money on every sale.\n\nTARGET CPA: $[Gross Margin \u00D7 (1 - Target Profit Margin)]\n  \u2192 This is what you need to sustain profitability.\n\nSTRETCH CPA: $[Break-even \u00D7 1.2]\n  \u2192 During validation ONLY, you can tolerate up to 20% above break-even\n    to gather learning data. Not sustainable long-term.\n```\n\n### Step 3: Reality Check Against Market Benchmarks\n\nPull benchmark data from Market Intelligence Report:\n- Industry average CPA for this market\n- Platform-specific CPA ranges (Meta, Google, YouTube)\n- Competitor pricing (inferred from their ad spend patterns)\n\n```\nVIABILITY MATRIX:\n  Your Target CPA: $[calculated above]\n  Industry Avg CPA: $[from market intel]\n  Gap: [your target vs industry avg \u2014 expressed as %]\n\n  IF your target CPA > industry avg: GREEN \u2014 math works with room\n  IF your target CPA is within 20% of industry avg: YELLOW \u2014 tight but viable\n  IF your target CPA < industry avg by 20%+: RED \u2014 you need either higher price,\n     lower costs, or a different market\n```\n\n### Step 4: Budget-to-Learning Velocity Check\n\nThis answers: \"At $X/day, how long until I have enough data to make real decisions?\"\n\n```\nDATA VELOCITY:\n  Estimated CTR: [based on awareness level \u2014 high awareness 2-3%, low 0.8-1.5%]\n  Estimated CPC: $[daily budget implications at estimated CTR and market CPM]\n  Daily Clicks: [daily budget / CPC]\n  Estimated Conversion Rate: [based on sophistication level \u2014 Level 1: 3-5%, Level 5: 0.5-1.5%]\n  Daily Conversions (estimated): [daily clicks \u00D7 conversion rate]\n  Days to 30 Conversions (statistical confidence): [30 / daily conversions]\n\n  IF days to 30 conversions \u2264 14: GREEN \u2014 you'll learn fast enough\n  IF days to 30 conversions = 15-30: YELLOW \u2014 viable but patience required\n  IF days to 30 conversions > 30: RED \u2014 budget too low for this market's economics\n     \u2192 Options: raise budget, raise price, find lower-CPC channel, or find different market\n```\n\n### Step 5: Scenario Modeling\n\nPresent three scenarios:\n\n```\nOPTIMISTIC (top 25% performance):\n  CPA: $[target \u00D7 0.7]  |  Daily Sales: [X]  |  Daily Profit: $[X]  |  Monthly: $[X]\n  Time to validate: [X] days\n\nREALISTIC (median performance):\n  CPA: $[target]  |  Daily Sales: [X]  |  Daily Profit: $[X]  |  Monthly: $[X]\n  Time to validate: [X] days\n\nPESSIMISTIC (bottom 25% performance):\n  CPA: $[break-even \u00D7 1.3]  |  Daily Sales: [X]  |  Daily Loss: $[X]\n  Maximum validation burn before kill: $[X] over [X] days\n  \u2192 This is your WORST CASE learning cost. Can you absorb this?\n```\n\n### Step 6: Verdict\n\n- **VIABLE** \u2014 All checks green or yellow. Proceed to Platform + Product.\n- **TIGHT** \u2014 One or more yellow flags. Proceed with documented constraints. Set hard budget caps and shorter validation windows.\n- **NON-VIABLE AT CURRENT SCALE** \u2014 One or more red flags. Present options:\n  - Raise product price (recalculate with new numbers)\n  - Increase daily budget (show what budget would make it viable)\n  - Find lower-CPC traffic channel (organic, content, partnerships)\n  - Pivot to adjacent market with better economics\n  - This is a Tier 3 decision \u2014 user chooses path.\n\n### Step 7: Generate Financial Guardrails\n\nIf VIABLE or TIGHT, output guardrails that downstream commands reference:\n\n```\nFINANCIAL GUARDRAILS \u2014 [Market Name]\n  Maximum CPA (kill threshold): $[break-even]\n  Target CPA (optimize toward): $[calculated target]\n  Daily budget cap: $[user's budget]\n  Maximum validation burn (Tier 1): $[7 \u00D7 daily budget]\n  Maximum validation burn (Tier 2): $[14 \u00D7 daily budget]\n  Kill timeline: If no conversions after $[3\u00D7 break-even CPA] spend, kill creative.\n  Scale trigger: CPA stable below $[target] for 7 consecutive days.\n```\n\nSave guardrails to `assets/[market-name]/research/unit-economics.md`\nUpdate pipeline-state.json with financial model.\n\n## Autonomy\nTier 1 \u2014 Full Auto for calculation.\nTier 3 \u2014 Recommend & Wait if verdict is NON-VIABLE (user must decide path).\n\n## Output\nUnit Economics Report with viability verdict and financial guardrails.\n\n## Next Step\nIf VIABLE/TIGHT \u2192 `/platform` and `/product` (parallel)\nIf NON-VIABLE \u2192 User decides: adjust pricing, adjust budget, or return to `/scout`";
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