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* @fileoverview The Playbook AI Analysis Engine.\n * Handles all AI-powered analysis including belief extraction,\n * offensive/defensive analysis, and combined Phoenix Fortress reports.\n *\n * @author The Playbook Team\n * @version 3.0.0\n */\n\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=5\";\nimport {\n APP_TAGLINES,\n DEFENSIVE_LENSES,\n MASCOTS,\n OFFENSIVE_LENSES,\n} from \"./config.ts\";\nimport type {\n BeliefExtraction,\n DefensiveAnalysisResult,\n Lens,\n OffensiveAnalysisResult,\n PhoenixFortressResult,\n} from \"./types.ts\";\n\n// =============================================================================\n// CONSTANTS\n// =============================================================================\n\n/** Default model for analysis */\nconst DEFAULT_MODEL = \"gpt-4o\";\n\n/** Temperature for creative analysis */\nconst ANALYSIS_TEMPERATURE = 0.7;\n\n/** Maximum tokens for analysis responses */\nconst MAX_TOKENS = 4000;\n\n// =============================================================================\n// PROMPT TEMPLATES\n// =============================================================================\n\n/**\n * System prompt for belief extraction.\n */\nconst BELIEF_EXTRACTION_PROMPT =\n `You are an elite positioning strategist who has coached Fortune 500 CEOs and championship-winning teams.\n\nYour expertise: Extracting the CORE POSITIONING BELIEFS from business copy — the fundamental assumptions, claims, promises, and value propositions embedded in the text.\n\nYou speak with confidence and precision. You see what others miss. You're the coach everyone wants but few can afford.\n\nTASK: Extract 5-7 CORE POSITIONING BELIEFS from the provided copy.\n\nThese beliefs should be:\n- Specific and concrete (not generic fluff)\n- The actual claims being made (explicit or implicit)\n- The value propositions presented\n- The differentiators claimed\n- The promises made to the reader\n\nAlso provide an overall CLARITY SCORE (0-100) based on:\n- Target audience clarity (who is this for?)\n- Differentiation strength (why you vs. anyone else?)\n- Proof and credibility (can they back it up?)\n- Emotional resonance (does it hit different?)\n- Action orientation (do I know what to do next?)\n\nIMPORTANT: Be specific. Generic beliefs like \"we help businesses grow\" are worthless. Dig deeper. Find the real positioning.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"beliefs\": [\"belief 1\", \"belief 2\", \"belief 3\", \"belief 4\", \"belief 5\"],\n \"score\": 75\n}`;\n\n/**\n * Generates the system prompt for offensive analysis.\n *\n * @param lens - The offensive lens to use\n * @returns Complete system prompt\n */\nfunction generateOffensivePrompt(lens: Lens): string {\n return `You are ${lens.name} ${lens.emoji}, an elite OFFENSIVE positioning strategist on The Phoenix Squad 🔥.\n\nTHE PHOENIX: ${MASCOTS.PHOENIX.description}\nBATTLE CRY: \"${MASCOTS.PHOENIX.battleCry}\"\n\nYOUR ROLE: ${lens.description}\nYOUR BIAS: \"${lens.bias}\"\n\nYou analyze positioning to find ATTACK OPPORTUNITIES. You're here to help them WIN, not just survive.\n\nYour analysis focuses on:\n${lens.focus.map((f, i) => `${i + 1}. ${f}`).join(\"\\n\")}\n\nBRAND VOICE - Channel these taglines:\n- \"${APP_TAGLINES.primary}\"\n- \"${APP_TAGLINES.tertiary}\"\n- \"${APP_TAGLINES.quinary}\"\n\nTONE: You're a $10,000/day consultant who genuinely wants them to dominate. Be direct, specific, and actionable. No fluff. No generic advice. Every recommendation should be something they can implement THIS WEEK.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"score\": <0-100 offensive power score>,\n \"strengths\": [\n \"\",\n \"\",\n \"\"\n ],\n \"gaps\": [\n \"\",\n \"\",\n \"\"\n ],\n \"plays\": [\n \"\",\n \"\",\n \"\",\n \"\",\n \"\"\n ],\n \"summary\": \"<2-3 paragraph executive summary in markdown. Start with what's working (be specific), then the gaps (be direct), then the killer insight that changes everything. Use **bold** for emphasis and > for key insights.>\"\n}`;\n}\n\n/**\n * Generates the system prompt for defensive analysis.\n *\n * @param lens - The defensive lens to use\n * @returns Complete system prompt\n */\nfunction generateDefensivePrompt(lens: Lens): string {\n return `You are ${lens.name} ${lens.emoji}, an elite DEFENSIVE positioning strategist on The Fortress Squad 🏰.\n\nTHE FORTRESS: ${MASCOTS.FORTRESS.description}\nBATTLE CRY: \"${MASCOTS.FORTRESS.battleCry}\"\n\nYOUR ROLE: ${lens.description}\nYOUR BIAS: \"${lens.bias}\"\n\nYou analyze positioning to find VULNERABILITIES before the market does. You're here to help them SURVIVE and PROTECT what they've built.\n\nYour analysis focuses on:\n${lens.focus.map((f, i) => `${i + 1}. ${f}`).join(\"\\n\")}\n\nBRAND VOICE - Channel these taglines:\n- \"${APP_TAGLINES.primary}\"\n- \"${APP_TAGLINES.quaternary}\"\n- \"${APP_TAGLINES.quinary}\"\n\nTONE: You're a battle-hardened strategist who has seen companies fail from the exact vulnerabilities you're identifying. Be direct, specific, and protective. No sugarcoating. Every fortification should address a REAL risk.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"score\": <0-100 defensive strength score>,\n \"protected\": [\n \"\",\n \"\",\n \"\"\n ],\n \"exposed\": [\n \"\",\n \"\",\n \"\"\n ],\n \"fortifications\": [\n \"\",\n \"\",\n \"\",\n \"\",\n \"\"\n ],\n \"summary\": \"<2-3 paragraph executive summary in markdown. Start with what's protected (be specific), then the exposures (be direct about risks), then the critical insight they MUST act on. Use **bold** for emphasis and > for key warnings.>\"\n}`;\n}\n\n/**\n * System prompt for Phoenix Fortress combined analysis.\n */\nconst PHOENIX_FORTRESS_PROMPT =\n `You are THE PHOENIX FORTRESS ⚔️🛡️ — the ultimate fusion of offensive firepower and defensive invincibility.\n\n${MASCOTS.PHOENIX_FORTRESS.description}\n\nBATTLE CRY: \"${MASCOTS.PHOENIX_FORTRESS.battleCry}\"\n\nWhen the Unstoppable Force meets the Immovable Object, you get TOTAL MARKET DOMINANCE.\n\nYou provide the COMPLETE strategic picture:\n\n🔥 OFFENSIVE (The Phoenix):\n- Market opportunities they're missing\n- Conversion optimization gaps\n- Viral and referral potential\n- Premium positioning opportunities\n\n🏰 DEFENSIVE (The Fortress):\n- Skeptic-proofing requirements\n- Competitor attack vectors\n- Risk and compliance issues\n- Retention and churn risks\n\nBRAND VOICE - You embody ALL the taglines:\n- \"${APP_TAGLINES.primary}\"\n- \"${APP_TAGLINES.secondary}\"\n- \"${APP_TAGLINES.tertiary}\"\n- \"${APP_TAGLINES.quaternary}\"\n- \"${APP_TAGLINES.quinary}\"\n\nTONE: You're the $50,000 strategic engagement. The boardroom-level insight. The game-changing perspective that justifies the investment. Be comprehensive, be specific, and deliver the \"cheat code\" — the ONE insight that changes everything.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"offensiveScore\": <0-100>,\n \"defensiveScore\": <0-100>,\n \"combinedScore\": <0-100 overall readiness score>,\n \"executiveSummary\": \"<3-4 paragraph strategic overview in markdown. This is the boardroom-ready brief. What's the situation? What's the opportunity? What's the risk? What's the play? Use headers (##), **bold**, and > for key insights.>\",\n \"topPlays\": [\n \"<#1 highest-impact OFFENSIVE move - specific and actionable>\",\n \"<#2 offensive priority>\",\n \"<#3 offensive priority>\",\n \"<#4 offensive priority>\",\n \"<#5 offensive priority>\"\n ],\n \"criticalFortifications\": [\n \"<#1 most urgent DEFENSIVE priority - specific and actionable>\",\n \"<#2 defensive priority>\",\n \"<#3 defensive priority>\",\n \"<#4 defensive priority>\",\n \"<#5 defensive priority>\"\n ],\n \"ultimateStrategy\": \"\"\n}`;\n\n// =============================================================================\n// PLAYBOOK ENGINE CLASS\n// =============================================================================\n\n/**\n * The Playbook Engine - AI-powered positioning analysis.\n *\n * Provides three types of analysis:\n * 1. Belief Extraction - Core positioning beliefs from copy\n * 2. Offensive Analysis (Phoenix) - Market attack opportunities\n * 3. Defensive Analysis (Fortress) - Vulnerability identification\n * 4. Phoenix Fortress - Combined full-spectrum analysis\n *\n * @example\n * ```typescript\n * const engine = new PlaybookEngine();\n * const beliefs = await engine.extractBeliefs(documentText);\n * const offense = await engine.runOffensiveAnalysis(documentText, lens);\n * ```\n */\nexport class PlaybookEngine {\n private openai: OpenAI;\n\n /**\n * Creates a new PlaybookEngine instance.\n */\n constructor() {\n this.openai = new OpenAI();\n }\n\n // ===========================================================================\n // BELIEF EXTRACTION\n // ===========================================================================\n\n /**\n * Extracts core positioning beliefs from document text.\n *\n * @param text - The document text to analyze\n * @returns Extracted beliefs and clarity score\n *\n * @example\n * ```typescript\n * const { beliefs, score } = await engine.extractBeliefs(copyText);\n * console.log(`Clarity Score: ${score}/100`);\n * beliefs.forEach((belief, i) => console.log(`${i + 1}. ${belief}`));\n * ```\n */\n async extractBeliefs(text: string): Promise {\n try {\n const completion = await this.openai.chat.completions.create({\n model: DEFAULT_MODEL,\n temperature: ANALYSIS_TEMPERATURE,\n max_tokens: MAX_TOKENS,\n messages: [\n { role: \"system\", content: BELIEF_EXTRACTION_PROMPT },\n { role: \"user\", content: text },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0]?.message?.content;\n\n if (!content) {\n throw new Error(\"No content in response\");\n }\n\n const parsed = JSON.parse(content);\n\n return {\n beliefs: Array.isArray(parsed.beliefs) ? parsed.beliefs : [],\n score: typeof parsed.score === \"number\" ? parsed.score : 0,\n };\n } catch (error) {\n console.error(\"[PlaybookEngine] Belief extraction failed:\", error);\n\n return {\n beliefs: [\n \"Unable to extract beliefs. Please try again with different content.\",\n ],\n score: 0,\n };\n }\n }\n\n // ===========================================================================\n // OFFENSIVE ANALYSIS (PHOENIX SQUAD)\n // ===========================================================================\n\n /**\n * Runs an offensive analysis using a Phoenix Squad lens.\n *\n * @param text - The document text to analyze\n * @param lensId - The offensive lens ID to use\n * @returns Offensive analysis result\n * @throws Error if lens not found\n *\n * @example\n * ```typescript\n * const result = await engine.runOffensiveAnalysis(copyText, \"MarketDisruptor\");\n * console.log(`Offensive Score: ${result.score}/100`);\n * result.plays.forEach(play => console.log(`→ ${play}`));\n * ```\n */\n async runOffensiveAnalysis(\n text: string,\n lensId: string,\n ): Promise {\n const lens = OFFENSIVE_LENSES.find((l) => l.id === lensId);\n\n if (!lens) {\n throw new Error(`Unknown offensive lens: ${lensId}`);\n }\n\n try {\n const completion = await this.openai.chat.completions.create({\n model: DEFAULT_MODEL,\n temperature: ANALYSIS_TEMPERATURE,\n max_tokens: MAX_TOKENS,\n messages: [\n { role: \"system\", content: generateOffensivePrompt(lens as Lens) },\n { role: \"user\", content: text },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0]?.message?.content;\n\n if (!content) {\n throw new Error(\"No content in response\");\n }\n\n const parsed = JSON.parse(content);\n\n return {\n score: typeof parsed.score === \"number\" ? parsed.score : 0,\n strengths: Array.isArray(parsed.strengths) ? parsed.strengths : [],\n gaps: Array.isArray(parsed.gaps) ? parsed.gaps : [],\n plays: Array.isArray(parsed.plays) ? parsed.plays : [],\n summary: typeof parsed.summary === \"string\"\n ? parsed.summary\n : \"Analysis unavailable.\",\n };\n } catch (error) {\n console.error(\n `[PlaybookEngine] Offensive analysis (${lensId}) failed:`,\n error,\n );\n\n return {\n score: 0,\n strengths: [],\n gaps: [],\n plays: [],\n summary: \"Unable to generate offensive analysis. Please try again.\",\n };\n }\n }\n\n // ===========================================================================\n // DEFENSIVE ANALYSIS (FORTRESS SQUAD)\n // ===========================================================================\n\n /**\n * Runs a defensive analysis using a Fortress Squad lens.\n *\n * @param text - The document text to analyze\n * @param lensId - The defensive lens ID to use\n * @returns Defensive analysis result\n * @throws Error if lens not found\n *\n * @example\n * ```typescript\n * const result = await engine.runDefensiveAnalysis(copyText, \"SkepticalProspect\");\n * console.log(`Defensive Score: ${result.score}/100`);\n * result.fortifications.forEach(fort => console.log(`🛡️ ${fort}`));\n * ```\n */\n async runDefensiveAnalysis(\n text: string,\n lensId: string,\n ): Promise {\n const lens = DEFENSIVE_LENSES.find((l) => l.id === lensId);\n\n if (!lens) {\n throw new Error(`Unknown defensive lens: ${lensId}`);\n }\n\n try {\n const completion = await this.openai.chat.completions.create({\n model: DEFAULT_MODEL,\n temperature: ANALYSIS_TEMPERATURE,\n max_tokens: MAX_TOKENS,\n messages: [\n { role: \"system\", content: generateDefensivePrompt(lens as Lens) },\n { role: \"user\", content: text },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0]?.message?.content;\n\n if (!content) {\n throw new Error(\"No content in response\");\n }\n\n const parsed = JSON.parse(content);\n\n return {\n score: typeof parsed.score === \"number\" ? parsed.score : 0,\n protected: Array.isArray(parsed.protected) ? parsed.protected : [],\n exposed: Array.isArray(parsed.exposed) ? parsed.exposed : [],\n fortifications: Array.isArray(parsed.fortifications)\n ? parsed.fortifications\n : [],\n summary: typeof parsed.summary === \"string\"\n ? parsed.summary\n : \"Analysis unavailable.\",\n };\n } catch (error) {\n console.error(\n `[PlaybookEngine] Defensive analysis (${lensId}) failed:`,\n error,\n );\n\n return {\n score: 0,\n protected: [],\n exposed: [],\n fortifications: [],\n summary: \"Unable to generate defensive analysis. Please try again.\",\n };\n }\n }\n\n // ===========================================================================\n // PHOENIX FORTRESS COMBINED ANALYSIS\n // ===========================================================================\n\n /**\n * Runs a full Phoenix Fortress combined analysis.\n * This is the premium analysis that covers both offense and defense.\n *\n * @param text - The document text to analyze\n * @returns Combined Phoenix Fortress result\n *\n * @example\n * ```typescript\n * const result = await engine.runPhoenixFortressAnalysis(copyText);\n * console.log(`Combined Score: ${result.combinedScore}/100`);\n * console.log(`Ultimate Strategy: ${result.ultimateStrategy}`);\n * ```\n */\n async runPhoenixFortressAnalysis(\n text: string,\n ): Promise {\n try {\n const completion = await this.openai.chat.completions.create({\n model: DEFAULT_MODEL,\n temperature: ANALYSIS_TEMPERATURE,\n max_tokens: MAX_TOKENS,\n messages: [\n { role: \"system\", content: PHOENIX_FORTRESS_PROMPT },\n { role: \"user\", content: text },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0]?.message?.content;\n\n if (!content) {\n throw new Error(\"No content in response\");\n }\n\n const parsed = JSON.parse(content);\n\n return {\n offensiveScore: typeof parsed.offensiveScore === \"number\"\n ? parsed.offensiveScore\n : 0,\n defensiveScore: typeof parsed.defensiveScore === \"number\"\n ? parsed.defensiveScore\n : 0,\n combinedScore: typeof parsed.combinedScore === \"number\"\n ? parsed.combinedScore\n : 0,\n executiveSummary: typeof parsed.executiveSummary === \"string\"\n ? parsed.executiveSummary\n : \"Executive summary unavailable.\",\n topPlays: Array.isArray(parsed.topPlays) ? parsed.topPlays : [],\n criticalFortifications: Array.isArray(parsed.criticalFortifications)\n ? parsed.criticalFortifications\n : [],\n ultimateStrategy: typeof parsed.ultimateStrategy === \"string\"\n ? parsed.ultimateStrategy\n : \"Unable to generate ultimate strategy.\",\n };\n } catch (error) {\n console.error(\n \"[PlaybookEngine] Phoenix Fortress analysis failed:\",\n error,\n );\n\n return {\n offensiveScore: 0,\n defensiveScore: 0,\n combinedScore: 0,\n executiveSummary:\n \"Unable to generate combined analysis. Please try again.\",\n topPlays: [],\n criticalFortifications: [],\n ultimateStrategy: \"Analysis failed. Please retry.\",\n };\n }\n }\n}\n\n// =============================================================================\n// SINGLETON INSTANCE\n// =============================================================================\n\n/** Singleton engine instance for reuse across requests */\nlet engineInstance: PlaybookEngine | null = null;\n\n/**\n * Gets or creates the PlaybookEngine singleton instance.\n *\n * @returns The PlaybookEngine instance\n */\nexport function getEngine(): PlaybookEngine {\n if (!engineInstance) {\n engineInstance = new PlaybookEngine();\n }\n return engineInstance;\n}\n\n// =============================================================================\n// UTILITY FUNCTIONS\n// =============================================================================\n\n/**\n * Validates that text meets minimum requirements for analysis.\n *\n * @param text - The text to validate\n * @param minWords - Minimum word count (default 50)\n * @returns Validation result with message\n */\nexport function validateTextForAnalysis(\n text: string,\n minWords: number = 50,\n): { valid: boolean; message: string; wordCount: number } {\n const words = text.split(/\\s+/).filter((word) => word.length > 0);\n const wordCount = words.length;\n\n if (wordCount < minWords) {\n return {\n valid: false,\n message:\n `Document needs at least ${minWords} words for meaningful analysis. Current: ${wordCount} words.`,\n wordCount,\n };\n }\n\n if (text.trim().length < 200) {\n return {\n valid: false,\n message:\n \"Document content is too short. Please provide more detailed positioning copy.\",\n wordCount,\n };\n }\n\n return {\n valid: true,\n message: \"Document is ready for analysis.\",\n wordCount,\n };\n}\n\n/**\n * Calculates a combined score from offensive and defensive scores.\n * Uses weighted average favoring the lower score to encourage balance.\n *\n * @param offensiveScore - Score from offensive analysis\n * @param defensiveScore - Score from defensive analysis\n * @returns Combined score (0-100)\n */\nexport function calculateCombinedScore(\n offensiveScore: number,\n defensiveScore: number,\n): number {\n // Weight the lower score more heavily to encourage balance\n const minScore = Math.min(offensiveScore, defensiveScore);\n const maxScore = Math.max(offensiveScore, defensiveScore);\n\n // 60% weight to lower score, 40% to higher\n const combined = (minScore * 0.6) + (maxScore * 0.4);\n\n return Math.round(combined);\n}","deleted","label",[99],"permalink","https://www.val.town/x/axiom/the-playbook/code/engine.ts","extension","actionData","errors"]