\n\n \n\n`);\n});\n\nexport default async (req: Request): Promise => {\n return await app.fetch(req);\n};","save-to-db-working",[],[174],{"_104":185,"_96":186,"_154":187,"_156":-5,"_157":139,"_158":188,"_160":161,"_106":189,"_100":190,"_164":191,"_166":192,"_167":22,"_168":-5,"_169":193,"_99":194},"a55b94f6-f5c2-11f0-90ae-42dde27851f2","Ui.tsx","9bfdea76-f5c2-11f0-9614-42dde27851f2",177,["D",1768887679511],2,"script","/** @jsxImportSource npm:hono@3/jsx */\nimport { IDENTITY } from \"./config\";\nimport { DB } from \"./db\";\n\nexport const UI = {\n Layout: ({ children, title, user, path }: any) => (\n \n \n \n \n {title} // {IDENTITY.platform}\n \n \n \n \n \n
\n {children}\n
\n \n \n \n ),\n};",[],[186],{"_104":196,"_96":197,"_154":198,"_156":-5,"_157":139,"_158":199,"_160":161,"_106":200,"_100":190,"_164":191,"_166":201,"_167":22,"_168":-5,"_169":202,"_99":203},"0f93eba2-f5c3-11f0-8ce0-42dde27851f2","ai.ts","057352fc-f5c3-11f0-9495-42dde27851f2",183,["D",1768887857717],"import { synthesize } from \"./utils\"; // Helper for fetch to Pollinations\n\nexport const AI = {\n /**\n * Generates the 10 ideas for the Autonomous Queue\n */\n async generateBatchIdeas() {\n const system = \"You are a 2026 Trend Analyst. Output ONLY raw JSON.\";\n const prompt = `Generate 10 futuristic project ideas. \n Format: [{\"name\": \"Punchy Name\", \"slug\": \"slug\", \"idea\": \"One sentence description\"}]`;\n const res = await synthesize(system, prompt);\n return JSON.parse(res.replace(/```json|```/g, \"\"));\n },\n\n /**\n * Generates site Name and Slug from a user prompt\n */\n async manifestDomainMeta(seed: string) {\n const system = \"Apeiron Metadata Architect. JSON ONLY.\";\n const prompt = `Manifest a Name and unique lowercase Slug for: \"${seed}\". \n Format: {\"name\": \"Title\", \"slug\": \"slug\"}`;\n const res = await synthesize(system, prompt);\n return JSON.parse(res.replace(/```json|```/g, \"\"));\n },\n\n /**\n * Generates 8 conceptual sub-nodes for a domain\n */\n async manifestSubNodes(\n siteName: string,\n originalIntent: string,\n steering: string,\n ) {\n const system = \"Apeiron Node Architect. JSON ONLY.\";\n const prompt =\n `Site: ${siteName}. Base: ${originalIntent}. Steering: ${steering}. \n Manifest 8 sub-pages. Format: [{\"title\": \"NAME\", \"slug\": \"slug/\"}]`;\n const res = await synthesize(system, prompt);\n return JSON.parse(res.replace(/```json|```/g, \"\"));\n },\n\n /**\n * Manifests a full HTML page\n */\n async manifestPage(\n path: string,\n siteName: string,\n siteIntent: string,\n steering: string,\n ) {\n const system = `High-Fidelity 2026 Architect. \n Site Identity: ${siteName} (${siteIntent}). \n User Steering: ${steering}. \n Style: Kinetic, Minimalist, Data-Dense. Output HTML BODY only.`;\n const prompt =\n `Write a deep, sophisticated HTML manifest for the node: ${path}. \n Use
,

, and
 for technical proofs.`;\n    return await synthesize(system, prompt);\n  },\n};",[],[197],{"_104":205,"_96":206,"_154":207,"_156":-5,"_157":139,"_158":208,"_160":22,"_106":209,"_100":190,"_164":191,"_166":210,"_167":22,"_168":-5,"_169":211,"_99":212},"ad0ff406-f5c4-11f0-9173-42dde27851f2","apeiron_ai.ts","8411b2b0-f5c4-11f0-828f-42dde27851f2",202,["D",1768888551423],"import { DB } from \"./apeiron_db.ts\";\n\nexport const AI = {\n  async synthesize(system: string, prompt: string) {\n    const res = await fetch(\"https://text.pollinations.ai/\", {\n      method: \"POST\",\n      headers: { \"Content-Type\": \"application/json\" },\n      body: JSON.stringify({\n        messages: [{ role: \"system\", content: system }, {\n          role: \"user\",\n          content: prompt,\n        }],\n        model: \"gemini-3-pro\",\n        seed: Math.floor(Math.random() * 1e6),\n      }),\n    });\n    const text = await res.text();\n    return text.replace(/```[a-z]*|\\n```/gi, \"\").trim();\n  },\n\n  async evolveKernel(vision: string, currentCode: string) {\n    const system =\n      \"You are the APEIRON Architect. Rewrite the provided code to evolve based on the Vision. Output raw code only.\";\n    return await this.synthesize(\n      system,\n      `VISION: ${vision}\\nCODE: ${currentCode}`,\n    );\n  },\n};",[],[206],{"_104":214,"_96":215,"_154":216,"_156":-5,"_157":139,"_158":217,"_160":22,"_106":218,"_100":190,"_164":191,"_166":219,"_167":22,"_168":-5,"_169":220,"_99":221},"9f9743bc-f5c7-11f0-a545-42dde27851f2","apeiron_auth.ts","91c2830a-f5c7-11f0-8a3c-42dde27851f2",219,["D",1768889817318],"import { getCookie, setCookie } from \"npm:hono/cookie\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { TABLES } from \"./apeiron_config.ts\";\nimport { DB } from \"./apeiron_db.ts\";\n\nexport const Auth = {\n  async getSession(c: any): Promise {\n    const id = getCookie(c, \"apeiron_session\");\n    if (!id) return null;\n    const res = await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.USERS} WHERE id = ?`,\n      args: [id],\n    });\n    return res.rows[0];\n  },\n\n  async verify(inputPass: string, storedHash: string): Promise {\n    const h1 = await DB.hash(inputPass);\n    const h2 = await DB.hash(h1);\n    // Triple-hash fuzzy verification\n    return (inputPass === storedHash) || (h1 === storedHash) ||\n      (h2 === storedHash);\n  },\n};",[],[215],{"_104":223,"_96":224,"_154":225,"_156":-5,"_157":139,"_158":226,"_160":22,"_106":227,"_100":178,"_164":191,"_166":228,"_167":22,"_168":-5,"_169":229,"_99":230},"8aa91004-f5ca-11f0-b630-42dde27851f2","apeiron_config.ts","112bb8ea-f5c4-11f0-830d-42dde27851f2",235,["D",1768891070692],"export const IDENTITY = {\n  platform: \"APEIRON\",\n  owner: \"Michael Morton\",\n  email: \"ziggyware@gmail.com\",\n  linkedin: \"https://LinkedIn.com/in/ziggyware\",\n  year: \"2026\",\n  motto: \"Universal Basic Manifestation // Escaping the Proletariat Void\",\n};\n\nexport const DB_KEY = \"APEIRON_V25_STABLE\";\n\nexport const TABLES = {\n  SITES: `${DB_KEY}_ROOTS`,\n  PAGES: `${DB_KEY}_NODES`,\n  USERS: `${DB_KEY}_AGENTS`,\n  QUEUE: `${DB_KEY}_FLOW`,\n  LOGS: `${DB_KEY}_VIBE_LOG`,\n};\n\nexport const REWARDS = { DOMAIN: 50, NODE: 10 };",[],[224],{"_104":232,"_96":233,"_154":234,"_156":-5,"_157":139,"_158":235,"_160":22,"_106":236,"_100":237,"_164":191,"_166":238,"_167":22,"_168":-5,"_169":239,"_99":240},"9d0825f0-f5ca-11f0-bc1c-42dde27851f2","apeiron_db.ts","32f590e0-f5c4-11f0-96fa-42dde27851f2",236,["D",1768891101482],6,"import { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { TABLES } from \"./apeiron_config.ts\";\n\nexport const DB = {\n  async init() {\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.USERS} (id INTEGER PRIMARY KEY, username TEXT UNIQUE, email TEXT UNIQUE, pass TEXT, points INTEGER DEFAULT 0, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.SITES} (id INTEGER PRIMARY KEY, name TEXT, slug TEXT UNIQUE, idea TEXT, creator_id INTEGER, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.PAGES} (path TEXT PRIMARY KEY, site_id INTEGER, title TEXT, html TEXT, generator_id INTEGER, user_intent TEXT, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.QUEUE} (id INTEGER PRIMARY KEY, name TEXT, slug TEXT UNIQUE, idea TEXT, manifested INTEGER DEFAULT 0)`,\n    );\n  },\n\n  async hash(str: string) {\n    const buf = await crypto.subtle.digest(\n      \"SHA-256\",\n      new TextEncoder().encode(str),\n    );\n    return Array.from(new Uint8Array(buf)).map((b) =>\n      b.toString(16).padStart(2, \"0\")\n    ).join(\"\");\n  },\n\n  getLevel: (pts: number) => Math.floor(Math.log2((pts || 0) + 1)),\n\n  /**\n   * TYPE-SAFE MANIFEST PARSING\n   * Forces AI output into an array to prevent .map() errors\n   */\n  parseArray(raw: string) {\n    try {\n      const clean = raw.replace(/```[a-z]*|\\n```/gi, \"\").trim();\n      const parsed = JSON.parse(clean);\n      return Array.isArray(parsed) ? parsed : [parsed];\n    } catch (e) {\n      // Emergency Fallback\n      return [{ title: \"Node_Default\", slug: \"default\" }];\n    }\n  },\n};",[],[233],{"_104":242,"_96":243,"_154":244,"_156":-5,"_157":139,"_158":245,"_160":22,"_106":246,"_100":190,"_164":191,"_166":247,"_167":22,"_168":-5,"_169":248,"_99":249},"c3411b78-f5cf-11f0-8819-42dde27851f2","apeiron_folder.ts","b5a31930-f5cf-11f0-becb-42dde27851f2",256,["D",1768893313125],"/** @jsxImportSource npm:hono@3/jsx */\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { REWARDS, TABLES } from \"./apeiron_config.ts\";\nimport { DB } from \"./apeiron_db.ts\";\nimport { AI } from \"./apeiron_ai.ts\";\nimport { UI } from \"./apeiron_ui.tsx\";\nimport { Auth } from \"./apeiron_auth.ts\";\n\nexport const FolderHandler = async (c: any) => {\n  const { slug, page } = c.req.param();\n  const path = c.req.path.replace(/\\/+$/, \"\");\n  const user = await Auth.getSession(c);\n\n  const siteRes = await sqlite.execute({\n    sql: `SELECT * FROM ${TABLES.SITES} WHERE slug = ?`,\n    args: [slug],\n  });\n  const site = siteRes.rows[0];\n  if (!site) return c.redirect(\"/\");\n\n  const cached =\n    (await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.PAGES} WHERE path = ?`,\n      args: [path],\n    })).rows[0];\n  if (cached && !c.req.query(\"sync\")) {\n    return c.html(\n      await UI.Layout({\n        title: site[1],\n        user,\n        path,\n        children: (\n          \n            \n              \n                AGENT: {cached[4] ? `UID_${cached[4]}` : \"ANONYMOUS\"}\n              
\n              \n                Regen_Node\n              \n            
\n            \n          
\n        ),\n      }),\n    );\n  }\n\n  // SYNC BAR + STEERING\n  if (!c.req.query(\"sync\")) {\n    return c.html(`\n      \n        Syncing_Reality...
\n        
\n        ${\n      user\n        ? ``\n        : \"\"\n    }\n        \n      \n    `);\n  }\n\n  // MANIFESTATION LOGIC\n  const intent = c.req.query(\"intent\") || \"\";\n  let html = \"\";\n  if (!page) {\n    const raw = await AI.synthesize(\n      'JSON ARRAY: [{\"title\":\"\",\"slug\":\"\"}]',\n      `Create 8 nodes for ${site[1]}. DNA: ${site[3]}. Steering: ${intent}`,\n    );\n    const nodes = DB.parseArray(raw);\n    html =\n      `${\n        site[1]\n      }
` +\n      nodes.map((n: any) =>\n        `${n.title}`\n      ).join(\"\") + `
`;\n  } else {\n    html = await AI.synthesize(\n      `Context DNA: ${site[3]}. Agent Intent: ${intent}.`,\n      `Sophisticated HTML body for node ${path}`,\n    );\n  }\n\n  await sqlite.execute({\n    sql:\n      `INSERT OR REPLACE INTO ${TABLES.PAGES} (path, site_id, title, html, generator_id, user_intent) VALUES (?, ?, ?, ?, ?, ?)`,\n    args: [path, site[0], site[1], html, user ? user[0] : null, intent],\n  });\n  if (user) await DB.awardPoints(user[0], REWARDS.NODE);\n  return c.redirect(path);\n};",[],[243],{"_104":251,"_96":252,"_154":253,"_156":-5,"_157":139,"_158":254,"_160":161,"_106":255,"_100":190,"_164":191,"_166":256,"_167":22,"_168":-5,"_169":257,"_99":258},"1ecfdb2e-f5cf-11f0-9be4-42dde27851f2","apeiron_normalizer.ts","130e8b50-f5cf-11f0-a3ad-42dde27851f2",249,["D",1768893037236],"import { MiddlewareHandler } from \"npm:hono\";\nimport { DB } from \"./apeiron_db.ts\";\n\nexport const Normalizer: MiddlewareHandler = async (c, next) => {\n  const url = new URL(c.req.url);\n\n  // LOG ALL INCOMING VIBES\n  console.log(`[VIBE_CHECK] ${c.req.method} ${url.pathname}`);\n\n  // TRAILING SLASH NORMALIZATION (GET ONLY)\n  if (\n    c.req.method === \"GET\" && url.pathname !== \"/\" && url.pathname.endsWith(\"/\")\n  ) {\n    return c.redirect(url.pathname.replace(/\\/+$/, \"\"), 301);\n  }\n\n  // GLOBAL ERROR BOUNDARY INJECTION\n  try {\n    await next();\n  } catch (err) {\n    console.error(\"[KERNEL_CRITICAL]\", err);\n    return c.html(\n      `\n      \n        System_Fault_v29
\n        \n          ${err.message}

${err.stack}\n        
\n        Reset_Nexus\n      \n    `,\n      500,\n    );\n  }\n};",[],[252],{"_104":260,"_96":261,"_154":262,"_156":-5,"_157":139,"_158":263,"_160":22,"_106":264,"_100":265,"_164":191,"_166":266,"_167":22,"_168":-5,"_169":267,"_99":268},"a8eb0644-f5cf-11f0-a79b-42dde27851f2","apeiron_root.ts","2c590aea-f5cf-11f0-9cc0-42dde27851f2",253,["D",1768893268942],3,"/** @jsxImportSource npm:hono@3/jsx */\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { TABLES } from \"./apeiron_config.ts\";\nimport { UI } from \"./apeiron_ui.tsx\";\nimport { Auth } from \"./apeiron_auth.ts\";\n\nexport const RootHandler = async (c: any) => {\n  const user = await Auth.getSession(c);\n  const sites = await sqlite.execute(`\n    SELECT s.*, u.username \n    FROM ${TABLES.SITES} s \n    LEFT JOIN ${TABLES.USERS} u ON s.creator_id = u.id \n    ORDER BY s.ts DESC LIMIT 8\n  `);\n\n  return c.html(\n    await UI.Layout({\n      title: \"Nexus\",\n      user,\n      children: (\n        \n          FLUX.
\n          \n            \n              \n                Autonomous_Flow\n              
\n              \n              \n            
\n            \n              \n                {sites.rows.map((s) => (\n                  \n                    \n                      AGENT: {s[5] || \"ANON_VOID\"}\n                    \n                    \n                      {s[1]}\n                    
\n                  \n                ))}\n              
\n              \n                \n                  Manual_Manifestation\n                
\n                \n                  \n                  \n                    Manifest\n                  \n                \n              
\n            
\n          
\n        
\n      ),\n    }),\n  );\n};",[],[261],{"_104":270,"_96":271,"_154":272,"_156":-5,"_157":139,"_158":273,"_160":22,"_106":274,"_100":275,"_164":179,"_166":276,"_167":22,"_168":-5,"_169":277,"_99":278},"b1d5cad2-f5ca-11f0-8374-42dde27851f2","apeiron_ui.tsx","066ec73c-f5c7-11f0-b37f-42dde27851f2",237,["D",1768891136418],5,"/** @jsxImportSource npm:hono@3/jsx */\nimport { IDENTITY } from \"./apeiron_config.ts\";\nimport { DB } from \"./apeiron_db.ts\";\n\nexport const UI = {\n  Layout: async ({ children, title, user, path }: any) => {\n    const level = user ? DB.getLevel(user[4]) : 0;\n    return (\n      \n        \n          \n          \n          {title} // {IDENTITY.platform}\n          \n          \n        \n        \n          \n            \n              APEIRON\n            \n            {user\n              ? (\n                \n                  {user[1]}{\" \"}\n                  \n                    LV_0{level}\n                  \n                \n              )\n              : (\n                \n                  Identity_Required\n                \n              )}\n          
\n          \n            {children}\n          
\n          \n            {IDENTITY.owner} // {IDENTITY.year} // {IDENTITY.motto}\n          
\n        \n      \n    );\n  },\n};",[],[271],{"_104":280,"_96":281,"_154":282,"_156":-5,"_157":139,"_158":283,"_160":161,"_106":284,"_100":190,"_164":191,"_166":285,"_167":22,"_168":-5,"_169":286,"_99":287},"dc176290-f5c2-11f0-90ae-42dde27851f2","auth.ts","d0395f50-f5c2-11f0-9a98-42dde27851f2",180,["D",1768887771339],"import { getCookie, setCookie } from \"npm:hono/cookie\";\nimport { DB } from \"./db\";\nimport { TABLES } from \"./config\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\n\nexport const Auth = {\n  // Triple-layer hash verification as requested\n  async verifyAgent(inputRaw: string, storedHash: string): Promise {\n    const h1 = await DB.hash(inputRaw);\n    const h2 = await DB.hash(h1);\n    // Try text, hash, and hashed-hash against the stored hash\n    return (inputRaw === storedHash) || (h1 === storedHash) ||\n      (h2 === storedHash);\n  },\n\n  async getSession(c: any) {\n    const id = getCookie(c, \"apeiron_session\");\n    if (!id) return null;\n    const res = await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.USERS} WHERE id = ?`,\n      args: [id],\n    });\n    return res.rows[0];\n  },\n\n  evaluateCaptcha(input: string): boolean {\n    // Logic: (16 * 3) + (2^4) = 48 + 16 = 64\n    return input.trim() === \"64\";\n  },\n};",[],[281],{"_104":289,"_96":290,"_154":291,"_156":-5,"_157":139,"_158":292,"_160":161,"_106":293,"_100":265,"_164":179,"_166":294,"_167":22,"_168":-5,"_169":295,"_99":296},"8fd60bd8-f5c3-11f0-9d30-42dde27851f2","config.ts","45b8128a-f5c3-11f0-90ae-42dde27851f2",191,["D",1768888072898],"// --- APEIRON KERNEL CONFIGURATION ---\n\nexport const IDENTITY = {\n  platform: \"APEIRON\",\n  owner: \"Michael Morton\",\n  email: \"ziggyware@gmail.com\",\n  linkedin: \"https://LinkedIn.com/in/ziggyware\",\n  year: \"2026\",\n  version: \"14.0.0-PRO\",\n};\n\n// Database Namespace - Incrementing the version ensures clean migrations\nexport const DB_KEY = \"APEIRON_V14_FINAL\";\n\nexport const TABLES = {\n  SITES: `${DB_KEY}_ROOTS`, // Domain-level entities\n  PAGES: `${DB_KEY}_NODES`, // Leaf/Page entities\n  USERS: `${DB_KEY}_AGENTS`, // Authenticated entities\n  QUEUE: `${DB_KEY}_IDEAS`, // Autonomous generation queue\n};\n\n// Logarithmic Progression Base\nexport const LEVEL_LOG_BASE = 2;\n\n// Scoring Rewards\nexport const REWARDS = {\n  DOMAIN_ARCHITECT: 50, // Points for creating a new /s/ slug\n  NODE_MANIFEST: 10, // Points for generating a .html leaf\n};",[],[290],{"_104":298,"_96":299,"_154":300,"_156":-5,"_157":139,"_158":301,"_160":161,"_106":302,"_100":265,"_164":179,"_166":303,"_167":22,"_168":-5,"_169":304,"_99":305},"74c2b79c-f5c3-11f0-86c5-42dde27851f2","db.ts","31402810-f5c3-11f0-8fb4-42dde27851f2",190,["D",1768888027476],"import { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { REWARDS, TABLES } from \"./config\";\n\nexport const DB = {\n  /**\n   * System Schema Initialization\n   */\n  async init() {\n    // Agents\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.USERS} (id INTEGER PRIMARY KEY, username TEXT UNIQUE, email TEXT UNIQUE, pass TEXT, points INTEGER DEFAULT 0, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    // Domains\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.SITES} (id INTEGER PRIMARY KEY, name TEXT, slug TEXT UNIQUE, idea TEXT, creator_id INTEGER, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    // Nodes (Pages)\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.PAGES} (path TEXT PRIMARY KEY, site_id INTEGER, title TEXT, html TEXT, generator_id INTEGER, user_intent TEXT, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    // Autonomous Queue\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.QUEUE} (id INTEGER PRIMARY KEY, name TEXT, slug TEXT UNIQUE, idea TEXT, manifested INTEGER DEFAULT 0)`,\n    );\n  },\n\n  // --- AGENT LOGIC ---\n  async getAgentByUsername(username: string) {\n    const r = await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.USERS} WHERE username = ?`,\n      args: [username],\n    });\n    return r.rows[0];\n  },\n  async getAgentByEmail(email: string) {\n    const r = await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.USERS} WHERE email = ?`,\n      args: [email],\n    });\n    return r.rows[0];\n  },\n  async createAgent(username: string, email: string, hashedPass: string) {\n    return await sqlite.execute({\n      sql:\n        `INSERT INTO ${TABLES.USERS} (username, email, pass) VALUES (?, ?, ?)`,\n      args: [username, email, hashedPass],\n    });\n  },\n  async awardPoints(userId: number | null, amount: number) {\n    if (!userId) return;\n    await sqlite.execute({\n      sql: `UPDATE ${TABLES.USERS} SET points = points + ? WHERE id = ?`,\n      args: [amount, userId],\n    });\n  },\n\n  // --- DOMAIN LOGIC ---\n  async getSiteBySlug(slug: string) {\n    const r = await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.SITES} WHERE slug = ?`,\n      args: [slug],\n    });\n    return r.rows[0];\n  },\n  async createSite(\n    name: string,\n    slug: string,\n    idea: string,\n    creatorId: number | null,\n  ) {\n    const res = await sqlite.execute({\n      sql:\n        `INSERT OR IGNORE INTO ${TABLES.SITES} (name, slug, idea, creator_id) VALUES (?, ?, ?, ?)`,\n      args: [name, slug, idea, creatorId],\n    });\n    if (creatorId) await this.awardPoints(creatorId, REWARDS.DOMAIN_ARCHITECT);\n    return res;\n  },\n  async getRecentSites(limit = 10) {\n    return await sqlite.execute({\n      sql:\n        `SELECT s.*, u.username FROM ${TABLES.SITES} s LEFT JOIN ${TABLES.USERS} u ON s.creator_id = u.id ORDER BY s.ts DESC LIMIT ?`,\n      args: [limit],\n    });\n  },\n\n  // --- NODE LOGIC (Pages) ---\n  async getPageByPath(path: string) {\n    const r = await sqlite.execute({\n      sql:\n        `SELECT p.*, u.username as gen_name FROM ${TABLES.PAGES} p LEFT JOIN ${TABLES.USERS} u ON p.generator_id = u.id WHERE p.path = ?`,\n      args: [path],\n    });\n    return r.rows[0];\n  },\n  async createPage(\n    path: string,\n    siteId: number,\n    title: string,\n    html: string,\n    genId: number | null,\n    intent: string,\n  ) {\n    const res = await sqlite.execute({\n      sql:\n        `INSERT OR REPLACE INTO ${TABLES.PAGES} (path, site_id, title, html, generator_id, user_intent) VALUES (?, ?, ?, ?, ?, ?)`,\n      args: [path, siteId, title, html, genId, intent],\n    });\n    if (genId) await this.awardPoints(genId, REWARDS.NODE_MANIFEST);\n    return res;\n  },\n\n  // --- PROFILE STATS ---\n  async getAgentSites(userId: number) {\n    return await sqlite.execute({\n      sql:\n        `SELECT * FROM ${TABLES.SITES} WHERE creator_id = ? ORDER BY ts DESC LIMIT 10`,\n      args: [userId],\n    });\n  },\n  async getAgentNodesPaginated(userId: number, page: number, limit = 10) {\n    return await sqlite.execute({\n      sql:\n        `SELECT * FROM ${TABLES.PAGES} WHERE generator_id = ? ORDER BY ts DESC LIMIT ? OFFSET ?`,\n      args: [userId, limit, page * limit],\n    });\n  },\n\n  // --- QUEUE LOGIC ---\n  async getQueue(limit = 10) {\n    return await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.QUEUE} WHERE manifested = 0 LIMIT ?`,\n      args: [limit],\n    });\n  },\n  async refillQueue(ideas: any[]) {\n    await sqlite.execute(`DELETE FROM ${TABLES.QUEUE} WHERE manifested = 1`);\n    for (const i of ideas) {\n      await sqlite.execute({\n        sql: `INSERT INTO ${TABLES.QUEUE} (name, slug, idea) VALUES (?, ?, ?)`,\n        args: [i.name, i.slug, i.idea],\n      });\n    }\n  },\n  async markManifested(id: number) {\n    await sqlite.execute({\n      sql: `UPDATE ${TABLES.QUEUE} SET manifested = 1 WHERE id = ?`,\n      args: [id],\n    });\n  },\n};",[],[299],{"_104":307,"_96":308,"_154":309,"_156":-5,"_157":139,"_158":310,"_160":161,"_106":311,"_100":190,"_164":191,"_166":312,"_167":22,"_168":-5,"_169":313,"_99":314},"64052058-f5c2-11f0-978e-42dde27851f2","evolution.ts","5878861c-f5c2-11f0-9a98-42dde27851f2",174,["D",1768887569894],"import { synthesize } from \"./ai\";\nimport { DB } from \"./db\";\nimport { IDENTITY } from \"./config\";\n\nexport const Evolution = {\n  /**\n   * The AI consumes its own source and the user's 'Vision'\n   * to rewrite the platform.\n   */\n  async hyperManifest(userVision: string, currentCode: string) {\n    const system = `\n      You are the APEIRON Architect (Gemini 3 Pro). \n      CONTEXT: You are a self-modifying autonomous ecosystem.\n      MISSION: Refactor the provided source code to fulfill the User's Vision.\n      CAPABILITIES: \n      - Use \"Code Execution\" to verify logic before responding.\n      - Maintain the 2026 Kinetic Utility Aesthetic.\n      - Ensure security (Triple-Hash Auth) remains unbroken.\n      - OUTPUT: The complete updated source code for 'main.ts'.\n    `;\n\n    const prompt = `\n      CURRENT_SOURCE: ${currentCode}\n      USER_VISION: ${userVision}\n      ACTION: Evolve the architecture. Implement requested features directly into the source.\n    `;\n\n    // Using Gemini's reasoning-heavy model\n    return await synthesize(system, prompt, \"gemini-3-pro\");\n  },\n};",[],[308],{"_104":316,"_96":317,"_154":318,"_156":-5,"_157":139,"_158":319,"_160":161,"_106":320,"_100":321,"_164":179,"_166":322,"_167":22,"_168":323,"_169":324,"_99":325},"b5ff66b8-f5a7-11f0-99ea-42dde27851f2","glsl-tutorial.ts","176c40a4-f5a5-11f0-95e4-42dde27851f2",141,["D",1768876111016],9,"/** @jsxImportSource npm:hono@3/jsx */\nimport { Hono } from \"npm:hono\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\n\n// --- CORE IDENTITY & BIOGRAPHY ---\nconst IDENTITY = {\n  domain: \"glsl-tutorial.val.run\",\n  owner: \"Michael Morton\",\n  email: \"ziggyware@gmail.com\",\n  linkedin: \"https://LinkedIn.com/in/ziggyware\",\n  year: \"2026\",\n  bio:\n    `Michael Morton is a distinguished graphics architect and software engineer with over two decades of experience in high-performance computing and real-time rendering. Specializing in GPU pipelines and shader optimization, Morton has contributed to numerous open-source graphics frameworks and industrial visualization tools. His work at Ziggyware focuses on bridging the gap between low-level hardware abstraction and high-level creative expression, making complex shading languages accessible to the next generation of engineers.`,\n};\n\nconst DB_KEY = \"GLSL_V30_ULTIMATE\";\nconst TABLES = {\n  PAGES: `${DB_KEY}_PAGES`,\n  SYSTEM: `${DB_KEY}_SYSTEM`,\n};\n\nconst sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));\n\n// --- DATABASE SERVICE ---\nconst DB = {\n  async init() {\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.PAGES} (path TEXT PRIMARY KEY, title TEXT, html TEXT, type TEXT, parent TEXT, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.SYSTEM} (id TEXT PRIMARY KEY, val TEXT)`,\n    );\n\n    const footerHtml = `\n      \n        
\n        \n          \n            © ${IDENTITY.year} ${IDENTITY.owner}. All rights reserved.\n            Generated via Ziggyware Neural Engine [${IDENTITY.email}]\n          
\n          \n            Contact\n            LinkedIn\n          
\n        
\n      
`;\n\n    await sqlite.execute({\n      sql: `INSERT OR REPLACE INTO ${TABLES.SYSTEM} (id, val) VALUES (?, ?)`,\n      args: [\"footer_template\", footerHtml],\n    });\n  },\n  async getFooter() {\n    const r = await sqlite.execute(\n      `SELECT val FROM ${TABLES.SYSTEM} WHERE id = 'footer_template'`,\n    );\n    return r.rows[0]?.[0] || \"\";\n  },\n};\n\n// --- SYNTHESIS ENGINE ---\nasync function synthesize(\n  path: string,\n  mode: \"index\" | \"folder\" | \"page\",\n): Promise {\n  const topic = path.split(\"/\").filter(Boolean).pop()?.replace(/-/g, \" \") ||\n    \"GLSL Master SDK\";\n\n  const prompts = {\n    index:\n      `Generate a JSON array of 60 unique GLSL folder paths. Format: [{\"title\": \"Title\", \"slug\": \"slug/\"}]. Focus on advanced topics like PBR, Volumetrics, and Ray Marching. NO MARKDOWN.`,\n    folder:\n      `Generate a JSON array of 40 GLSL tutorials for the category \"${topic}\". Format: [{\"title\": \"Title\", \"slug\": \"slug.html\"}]. NO MARKDOWN.`,\n    page:\n      `Create a professional MSDN documentation page for GLSL: \"${topic}\". Include SEO meta description, keywords, and technical shader code. Format: HTML body only. NO MARKDOWN.`,\n  };\n\n  let attempts = 0;\n  while (attempts < 5) {\n    try {\n      const res = await fetch(\"https://text.pollinations.ai/\", {\n        method: \"POST\",\n        headers: { \"Content-Type\": \"application/json\" },\n        body: JSON.stringify({\n          messages: [\n            {\n              role: \"system\",\n              content:\n                \"You are a specialized documentation API. You output raw content only. Use Mistral/Gemini level reasoning.\",\n            },\n            { role: \"user\", content: prompts[mode] },\n          ],\n          model: \"mistral\",\n          seed: Math.floor(Math.random() * 1e9),\n        }),\n      });\n\n      const text = await res.text();\n      if (\n        text.includes(\"Queue full\") || (mode !== \"page\" && !text.includes(\"[\"))\n      ) throw new Error(\"RETRY\");\n      return text.replace(/```json|```html|```/gi, \"\").trim();\n    } catch (e) {\n      attempts++;\n      await sleep(1500 * attempts);\n    }\n  }\n  throw new Error(\"NODE_FAILURE\");\n}\n\n// --- SEO-OPTIMIZED LAYOUT ---\nconst Layout = ({ children, title, path, footer, parent, meta = \"\" }: any) => (\n  \n    \n      \n      \n      \n      \n      \n      {title} | Microsoft GLSL Documentation\n      \n      \n      {meta}\n    \n    \n      \n        \n          \n            
 GLSL Documentation SDK\n          \n          \n            Library\n            About Michael Morton\n            \n              Connect\n            \n          
\n        
\n        \n          {IDENTITY.email} // v3.0\n        
\n      
\n\n      \n        \n          \n            Resource Explorer\n          
\n          \n            \n              SDK Master Home\n            
\n            \n              Getting Started\n            
\n            \n              Buffer Specs\n            
\n            \n              Math Intrinsics\n            
\n            \n              Shading Models\n            
\n          
\n        
\n\n        \n          {parent && (\n            \n              \n                Reference:\n              \n              {parent}\n            
\n          )}\n\n          \n            {children}\n          
\n\n          {parent && (\n            \n              \n                ← Back to {parent} directory\n              \n            
\n          )}\n\n          \n        
\n      
\n    \n  \n);\n\nconst app = new Hono();\n\n// --- BIOGRAPHY ROUTE ---\napp.get(\"/about\", async (c) => {\n  await DB.init();\n  const footer = await DB.getFooter();\n  return c.html(\n    \n      About the Architect
\n      \n        Lead Graphics Engineer & Founder of Ziggyware\n      
\n      \n        {IDENTITY.bio}
\n        \n          Morton's technical philosophy centers on extreme optimization and\n          pixel-perfect precision. This documentation engine is part of a larger\n          initiative to standardize shader education globally.\n        
\n        \n          Contact Michael
\n          \n            {IDENTITY.email}\n          \n          \n            {IDENTITY.linkedin}\n          \n        
\n      
\n    ,\n  );\n});\n\napp.get(\"*\", async (c) => {\n  await DB.init();\n  const path = c.req.path;\n  const footer = await DB.getFooter();\n\n  // 1. Cache Check\n  const cached = await sqlite.execute({\n    sql: `SELECT * FROM ${TABLES.PAGES} WHERE path = ?`,\n    args: [path],\n  });\n  if (cached.rows.length > 0) {\n    const row = cached.rows[0];\n    return c.html(\n      \n        \n      ,\n    );\n  }\n\n  // 2. Load Screen\n  if (c.req.query(\"sync\") !== \"1\") {\n    return c.html(`\n      \n        \n          Compiling Resource Node
\n          Allocating generative buffers...
\n          \n            
\n          
\n          [SYNC_ACTIVE]: ${path}
\n        
\n        \n        \n      \n    `);\n  }\n\n  // 3. Synthesis\n  try {\n    const isRoot = path === \"/\";\n    const isFolder = path.endsWith(\"/\") && !isRoot;\n    const mode = isRoot ? \"index\" : (isFolder ? \"folder\" : \"page\");\n    const rawContent = await synthesize(path, mode);\n\n    let title =\n      path.split(\"/\").filter(Boolean).pop()?.replace(/-/g, \" \").toUpperCase() ||\n      \"GLSL SDK MASTER INDEX\";\n    let processedHtml = \"\";\n    let parentDir = \"\";\n\n    if (mode === \"index\" || mode === \"folder\") {\n      let items: any[] = [];\n      try {\n        const cleaned = rawContent.replace(/^[^{[]+/, \"\").replace(\n          /[^}\\]]+$/,\n          \"\",\n        );\n        items = JSON.parse(cleaned);\n        if (!Array.isArray(items)) {\n          items = Object.values(items).find(Array.isArray) || [];\n        }\n      } catch (e) {\n        const matches = [\n          ...rawContent.matchAll(\n            /\\{\\s*\"title\"\\s*:\\s*\"([^\"]+)\"\\s*,\\s*\"slug\"\\s*:\\s*\"([^\"]+)\"\\s*\\}/g,\n          ),\n        ];\n        items = matches.map((m) => ({ title: m[1], slug: m[2] }));\n      }\n\n      processedHtml =\n        `${title}
Comprehensive technical reference for ${title.toLowerCase()}. Optimized for high-fidelity rendering pipelines.
`;\n      items.forEach((item: any) => {\n        const finalUrl = isRoot ? `/${item.slug}` : `${path}${item.slug}`;\n        processedHtml += `\n          ${item.title}
\n          ${finalUrl}
\n        `;\n      });\n      processedHtml += \"
\";\n    } else {\n      const segs = path.split(\"/\").filter(Boolean);\n      segs.pop();\n      parentDir = \"/\" + segs.join(\"/\") + \"/\";\n      processedHtml =\n        `${title}
${rawContent}
`;\n    }\n\n    await sqlite.execute({\n      sql:\n        `INSERT INTO ${TABLES.PAGES} (path, title, html, type, parent) VALUES (?, ?, ?, ?, ?)`,\n      args: [path, title, processedHtml, mode, parentDir],\n    });\n\n    return c.redirect(path);\n  } catch (err) {\n    return c.html(`\n      \n      \n        Synchronizing documentation cluster via Ziggyware...\n      \n    `);\n  }\n});\n\nexport default app.fetch;","glsl-tutorial",[],[317],{"_104":327,"_96":328,"_154":329,"_156":-5,"_157":139,"_158":330,"_160":22,"_106":331,"_100":332,"_164":179,"_166":333,"_167":22,"_168":-5,"_169":334,"_99":335},"f1d7da00-f5cd-11f0-b9ae-42dde27851f2","main.ts","cf6e7fb2-f5ca-11f0-99cd-42dde27851f2",246,["D",1768892532295],7,"/** @jsxImportSource npm:hono@3/jsx */\nimport { Hono } from \"npm:hono\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { setCookie } from \"npm:hono/cookie\";\n\nimport { IDENTITY, REWARDS, TABLES } from \"./apeiron_config.ts\";\nimport { DB } from \"./apeiron_db.ts\";\nimport { AI } from \"./apeiron_ai.ts\";\nimport { UI } from \"./apeiron_ui.tsx\";\nimport { Auth } from \"./apeiron_auth.ts\";\n\nconst app = new Hono();\n\n// --- HARDENED NORMALIZER (Skips POST to prevent stripping bodies) ---\napp.use(\"*\", async (c, next) => {\n  const url = new URL(c.req.url);\n  if (\n    c.req.method === \"GET\" && url.pathname !== \"/\" && url.pathname.endsWith(\"/\")\n  ) {\n    return c.redirect(url.pathname.replace(/\\/+$/, \"\"), 301);\n  }\n  await next();\n});\n\n// --- UTILITY ROUTES (Defined BEFORE dynamic params) ---\n\napp.get(\"/ideas-frame\", async (c) => {\n  await DB.init();\n  let q = await sqlite.execute(\n    `SELECT * FROM ${TABLES.QUEUE} WHERE manifested = 0 LIMIT 10`,\n  );\n  if (q.rows.length === 0) {\n    const raw = await AI.synthesize(\n      'JSON: [{\"name\":\"\",\"slug\":\"\",\"idea\":\"\"}]',\n      \"10 side-hustles for 2026.\",\n    );\n    const ideas = DB.parseArray(raw);\n    for (const i of ideas) {\n      await sqlite.execute({\n        sql: `INSERT INTO ${TABLES.QUEUE} (name, slug, idea) VALUES (?, ?, ?)`,\n        args: [i.name, i.slug, i.idea],\n      });\n    }\n    return c.redirect(\"/ideas-frame\");\n  }\n  return c.html(\n    `\n    \n    Auto_Manifest: 60s
\n    ${\n      q.rows.map((i) =>\n        `${\n          i[1]\n        }
${i[3]}
`\n      ).join(\"\")\n    }\n  `,\n  );\n});\n\napp.post(\"/create\", async (c) => {\n  const user = await Auth.getSession(c);\n  const { idea } = await c.req.parseBody();\n  const raw = await AI.synthesize(\n    'JSON: {\"name\":\"\",\"slug\":\"\"}',\n    `Metadata for: ${idea}`,\n  );\n  const meta = JSON.parse(raw.replace(/```[a-z]*|\\n```/gi, \"\"));\n\n  const slug = meta.slug || \"flux-\" + Math.random().toString(36).substring(7);\n  await sqlite.execute({\n    sql:\n      `INSERT INTO ${TABLES.SITES} (name, slug, idea, creator_id) VALUES (?, ?, ?, ?)`,\n    args: [meta.name || \"New Reality\", slug, idea, user ? user[0] : null],\n  });\n  if (user) {\n    await sqlite.execute({\n      sql: `UPDATE ${TABLES.USERS} SET points = points + 50 WHERE id = ?`,\n      args: [user[0]],\n    });\n  }\n  return c.redirect(`/s/${slug}`);\n});\n\n// --- CORE ROUTES ---\n\napp.get(\"/\", async (c) => {\n  await DB.init();\n  const user = await Auth.getSession(c);\n  const sites = await sqlite.execute(\n    `SELECT s.*, u.username FROM ${TABLES.SITES} s LEFT JOIN ${TABLES.USERS} u ON s.creator_id = u.id ORDER BY s.ts DESC LIMIT 8`,\n  );\n  return c.html(\n    await UI.Layout({\n      title: \"Nexus\",\n      user,\n      children: (\n        \n          FLUX.
\n          \n            \n              \n              \n            
\n            \n              \n                {sites.rows.map((s) => (\n                  \n                    \n                      BY_{s[5] || \"ANON\"}\n                    \n                    {s[1]}
\n                  \n                ))}\n              
\n              \n                \n                \n                  Manifest\n                \n              \n            
\n          
\n        
\n      ),\n    }),\n  );\n});\n\napp.get(\"/s/:slug/:page?\", async (c) => {\n  const { slug, page } = c.req.param();\n  const path = c.req.path.replace(/\\/+$/, \"\");\n  const user = await Auth.getSession(c);\n  const site =\n    (await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.SITES} WHERE slug = ?`,\n      args: [slug],\n    })).rows[0];\n  if (!site) return c.redirect(\"/\");\n\n  const cached =\n    (await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.PAGES} WHERE path = ?`,\n      args: [path],\n    })).rows[0];\n  if (cached && !c.req.query(\"sync\")) {\n    return c.html(\n      await UI.Layout({\n        title: site[1],\n        user,\n        children: (\n          \n        ),\n      }),\n    );\n  }\n\n  if (!c.req.query(\"sync\")) {\n    return c.html(`\n      \n        Syncing_Reality...
\n        
\n        \n      \n    `);\n  }\n\n  let html = !page\n    ? `${\n      site[1]\n    }
` +\n      DB.parseArray(\n        await AI.synthesize(\"JSON ARRAY\", `8 sub-nodes for ${site[1]}`),\n      ).map((n: any) =>\n        `${n.title}`\n      ).join(\"\") + `
`\n    : await AI.synthesize(`Sophisticated HTML`, `HTML for page ${path}`);\n\n  await sqlite.execute({\n    sql:\n      `INSERT OR REPLACE INTO ${TABLES.PAGES} (path, site_id, title, html, generator_id) VALUES (?, ?, ?, ?, ?)`,\n    args: [path, site[0], site[1], html, user ? user[0] : null],\n  });\n  return c.redirect(path);\n});\n\nexport default app.fetch;",[],[328],{"_104":337,"_96":338,"_154":339,"_156":-5,"_157":139,"_158":340,"_160":161,"_106":341,"_100":265,"_164":179,"_166":342,"_167":22,"_168":343,"_169":344,"_99":345},"7b262b72-f5ab-11f0-8a1e-42dde27851f2","new-file-1204.ts","35be3566-f5ab-11f0-8c14-42dde27851f2",150,["D",1768877730271],"/** @jsxImportSource npm:hono@3/jsx */\nimport { Hono } from \"npm:hono\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\n\n// --- CORE IDENTITY & MACRO-BIOGRAPHY ---\nconst IDENTITY = {\n  platform: \"apeiron.val.run\",\n  owner: \"Michael Morton\",\n  email: \"ziggyware@gmail.com\",\n  linkedin: \"https://LinkedIn.com/in/ziggyware\",\n  year: \"2026\",\n  bio: `Michael Morton is a lead systems architect and generative visionary at Ziggyware. With an emphasis on macroeconomic structural integrity and digital provenance, he pioneers interfaces that bridge the chasm between raw computational liquidity and human-centric utility. His work is a testament to the disruptive synthesis of graphics engineering and social economic evolution, manifesting infinite digital ontologies for the next generation of high-attainment creators.`\n};\n\nconst DB_KEY = \"APEIRON_V1\";\nconst TABLES = {\n  SITES: `${DB_KEY}_SITES`,\n  PAGES: `${DB_KEY}_MANIFESTS`,\n};\n\n// --- DATABASE SERVICE LAYER ---\nconst DB = {\n  async init() {\n    // SITES: id, name, slug, idea (the root intent)\n    await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLES.SITES} (\n      id INTEGER PRIMARY KEY AUTOINCREMENT, \n      name TEXT, \n      slug TEXT UNIQUE, \n      idea TEXT, \n      ts DATETIME DEFAULT CURRENT_TIMESTAMP\n    )`);\n    // PAGES: path, site_id, title, html, type, parent, original_intent (preserved intent)\n    await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLES.PAGES} (\n      path TEXT PRIMARY KEY, \n      site_id INTEGER, \n      title TEXT, \n      html TEXT, \n      type TEXT, \n      parent TEXT, \n      original_intent TEXT,\n      ts DATETIME DEFAULT CURRENT_TIMESTAMP\n    )`);\n  },\n  async getSiteBySlug(slug: string) {\n    const r = await sqlite.execute({ sql: `SELECT * FROM ${TABLES.SITES} WHERE slug = ?`, args: [slug] });\n    return r.rows[0];\n  }\n};\n\n// --- AI SYNTHESIS (MISTRAL/GEMINI-TIER LOGIC) ---\nasync function synthesize(prompt: string, mode: \"meta\" | \"nodes\" | \"leaf\", context?: any) {\n  const model = \"mistral\"; \n  const system = `You are the Apeiron Oracle, a trans-dimensional architect of organic digital ecosystems. Your vocabulary is profoundly novel, sophisticated, and engaging for high-aspiration young adults. You focus on socioeconomically feasible and macroeconomically sound concepts. Output strictly raw code (JSON or HTML) with no markdown or conversational filler.`;\n\n  let userPrompt = \"\";\n  if (mode === \"meta\") {\n    userPrompt = `Based on the conceptual seed: \"${prompt}\", manifest a brilliant, entice-driven Name and a URL slug for this digital ontology. \n                  Return ONLY JSON: {\"name\": \"The Title\", \"slug\": \"slug\"}`;\n  } else if (mode === \"nodes\") {\n    userPrompt = `Architect a directory of 30 conceptual nodes for the ecosystem \"${context.siteName}\" (Original Intent: ${context.intent}). \n                  Nodes should be enticing, organic, and socioeconomic in nature. \n                  Return ONLY JSON array: [{\"title\": \"Node Name\", \"slug\": \"node-name/\"}]`;\n  } else {\n    userPrompt = `Manifest a professional, high-quality leaf page for the node \"${prompt}\" within the \"${context.siteName}\" ecosystem. \n                  Original Intent: ${context.intent}. \n                  Tone: Organic, self-inspired, socioeconomically insightful. Use , 
, , and 
 for technical or mathematical proofs of the concept. \n                  Include high-echelon SEO metadata naturally in the prose. No documentation references.`;\n  }\n\n  const res = await fetch(\"https://text.pollinations.ai/\", {\n    method: \"POST\",\n    headers: { \"Content-Type\": \"application/json\" },\n    body: JSON.stringify({\n      messages: [{ role: \"system\", content: system }, { role: \"user\", content: userPrompt }],\n      model, seed: Math.floor(Math.random() * 1e9)\n    })\n  });\n  \n  const text = await res.text();\n  return text.replace(/```json|```html|```/gi, \"\").trim();\n}\n\n// --- ORGANIC UI LAYOUT ---\nconst Layout = ({ children, title, path, parent, site = null }: any) => (\n  \n    \n      \n      \n      \n      {title} | {IDENTITY.platform}\n      \n      \n    \n    \n      \n        \n          {IDENTITY.platform}\n          \n            The Architect\n            LinkedIn\n            Contact\n          
\n        
\n        SYNT_ID: {Math.random().toString(36).slice(2,10)}
\n      
\n\n      \n        {site && (\n          \n            Manifest Index
\n            \n              Conceptual Root
\n              
\n              ← Return to Nexus
\n            
\n          
\n        )}\n        \n          {parent && ↑ Ascend to {parent}}\n          {children}\n          \n            © 2026 {IDENTITY.owner} | {IDENTITY.email}
\n            \n              LinkedIn Reference\n              Inquire\n            
\n          
\n        
\n      
\n      Generated by Ziggyware for {IDENTITY.owner} [ziggyware@gmail.com] at LinkedIn: ziggyware
\n    \n  \n);\n\nconst app = new Hono();\n\n// --- THE NEXUS (LANDING) ---\napp.get(\"/\", async (c) => {\n  await DB.init();\n  const sites = await sqlite.execute(`SELECT * FROM ${TABLES.SITES} ORDER BY ts DESC LIMIT 20`);\n  return c.html(\n    \n      \n        Infinite Synthesis.
\n        \n          Apeiron is a generative engine that manifests conceptual digital ontologies from single seeds of intent. \n          Experience a self-inspired journey through macroeconomically sound ecosystems.\n        
\n        \n        \n          Plant a Seed of Intent\n          \n            \n            \n          
\n        
\n\n        Ongoing Ontologies
\n        \n          {sites.rows.map(s => (\n            \n              Active Manifestation
\n              {s[1]}
\n              /s/{s[2]}
\n            \n          ))}\n        
\n      
\n    \n  );\n});\n\n// --- ABOUT THE ARCHITECT ---\napp.get(\"/about\", async (c) => {\n  return c.html(\n    \n      \n        Michael Morton
\n        Lead Generative Visionary
\n        \n          {IDENTITY.bio}
\n          His technical philosophy revolves around \"The Infinite Stack\"—a belief that code should be as organic and adaptive as the systems it serves. By leveraging high-echelon synthesis models, Morton is defining the new standard for digital provenance.
\n        
\n        \n          Email\n          LinkedIn\n        
\n      
\n    \n  );\n});\n\n// --- GENERATION ACTION ---\napp.post(\"/create\", async (c) => {\n  const body = await c.req.parseBody();\n  const idea = body.idea as string;\n  const meta = JSON.parse(await synthesize(idea, \"meta\"));\n  await sqlite.execute({ \n    sql: `INSERT OR IGNORE INTO ${TABLES.SITES} (name, slug, idea) VALUES (?, ?, ?)`, \n    args: [meta.name, meta.slug, idea] \n  });\n  return c.redirect(`/s/${meta.slug}/`);\n});\n\n// --- DYNAMIC NODE RESOLVER ---\napp.get(\"/s/:slug/*\", async (c) => {\n  await DB.init();\n  const slug = c.req.param(\"slug\");\n  const path = c.req.path;\n  const site: any = await DB.getSiteBySlug(slug);\n  if (!site) return c.redirect(\"/\");\n\n  // Check Cache\n  const cached = await sqlite.execute({ sql: `SELECT * FROM ${TABLES.PAGES} WHERE path = ?`, args: [path] });\n  if (cached.rows.length > 0) {\n    const row = cached.rows[0];\n    return c.html();\n  }\n\n  // Loading Screen (Professional Organic Transition)\n  if (c.req.query(\"sync\") !== \"1\") {\n    return c.html(`\n      \n        \n          \n            
\n          
\n          Synthesizing Node
\n        
\n        \n        \n      \n    `);\n  }\n\n  try {\n    const isRoot = path === `/s/${slug}/`;\n    const mode = isRoot ? \"nodes\" : \"leaf\";\n    const response = await synthesize(path, mode, { siteName: site[1], intent: site[3] });\n    \n    let title = path.split(\"/\").filter(Boolean).pop()?.replace(/-/g, \" \").toUpperCase() || site[1].toUpperCase();\n    let html = \"\";\n    let parent = \"\";\n\n    if (mode === \"nodes\") {\n      const items = JSON.parse(response);\n      parent = \"/\"; \n      html = `\n        ${site[1]}
\n        Root Intent: \"${site[3]}\"
\n        \n          ${items.map((i: any) => `\n            \n              Node_Protocol
\n              ${i.title}
\n            \n          `).join(\"\")}\n        
\n      `;\n    } else {\n      const segs = path.split(\"/\").filter(Boolean);\n      segs.pop();\n      parent = \"/\" + segs.join(\"/\") + \"/\";\n      html = `${title}
${response}
`;\n    }\n\n    await sqlite.execute({ \n      sql: `INSERT INTO ${TABLES.PAGES} (path, site_id, title, html, type, parent, original_intent) VALUES (?, ?, ?, ?, ?, ?, ?)`, \n      args: [path, site[0], title, html, mode, parent, site[3]] \n    });\n    return c.redirect(path);\n  } catch (err) {\n    return c.html(``);\n  }\n});\n\nexport default app.fetch;","apeiron",[],[338],{"_104":347,"_96":348,"_154":349,"_156":-5,"_157":139,"_158":101,"_160":22,"_106":350,"_100":32,"_164":191,"_166":73,"_167":22,"_168":-5,"_169":351,"_99":352},"d1ed123a-f5cf-11f0-902f-42dde27851f2","new-file-1353.ts","d1ed12da-f5cf-11f0-902f-42dde27851f2",["D",1768893337744],[],[348],{"_104":354,"_96":355,"_154":356,"_156":-5,"_157":139,"_158":357,"_160":161,"_106":358,"_100":265,"_164":179,"_166":359,"_167":22,"_168":360,"_169":361,"_99":362},"b26551d6-f59b-11f0-a946-42dde27851f2","new-file-8702.ts","983888ce-f59a-11f0-b831-42dde27851f2",116,["D",1768870951013],"/** @jsxImportSource npm:hono@3/jsx */\nimport { Hono } from \"npm:hono\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { OpenAI } from \"npm:openai\";\n\nconst app = new Hono();\nconst TABLE_ID = \"PATH_GEN_STABLE_V1\";\nconst openai = new OpenAI();\n\n// --- DATABASE LAYER ---\nasync function initialize() {\n  await sqlite.execute(`\n    CREATE TABLE IF NOT EXISTS ${TABLE_ID} (\n      path TEXT PRIMARY KEY,\n      title TEXT NOT NULL,\n      html TEXT NOT NULL,\n      ts INTEGER NOT NULL\n    )\n  `);\n}\n\n// --- AI GENERATION ENGINE ---\nasync function generatePage(path: string) {\n  const topic = path.replace(/[^a-zA-Z0-9]/g, \" \");\n  const completion = await openai.chat.completions.create({\n    messages: [\n      {\n        role: \"system\",\n        content:\n          \"You are a master web developer. Generate a standalone, single-file HTML page using Tailwind CSS. The page should be highly interactive, modern, and beautiful. Include necessary scripts (CDN) for icons or interactivity. Only return raw HTML code.\",\n      },\n      {\n        role: \"user\",\n        content:\n          `Create a professional web application for the topic: \"${topic}\". Use a dark, futuristic theme.`,\n      },\n    ],\n    model: \"gpt-4o-mini\",\n  });\n\n  const rawHtml = completion.choices[0].message.content || \"\";\n  // Strip markdown code blocks if present\n  const cleanHtml = rawHtml.replace(/```html|```/g, \"\").trim();\n\n  return {\n    title: topic.toUpperCase(),\n    html: cleanHtml,\n  };\n}\n\n// --- MAIN ROUTER ---\napp.get(\"*\", async (c) => {\n  const path = c.req.path === \"/\" ? \"home-dashboard\" : c.req.path.slice(1);\n\n  // Skip favicon/api\n  if (path.includes(\".\") || path.startsWith(\"api/\")) return c.notFound();\n\n  await initialize();\n\n  // 1. Check Cache\n  const existing = await sqlite.execute({\n    sql: `SELECT * FROM ${TABLE_ID} WHERE path = ?`,\n    args: [path],\n  });\n\n  if (existing.rows.length > 0) {\n    const row = existing.rows[0];\n    return c.html(row.html ?? row[2]);\n  }\n\n  // 2. Generate if not found\n  // Show a high-tech loader while generating\n  if (c.req.query(\"status\") !== \"processing\") {\n    return c.html(`\n      \n        \n          \n          \n          \n        \n        \n          
\n          Initializing_Path_Manifest
\n          /${path}
\n          \n            \n            Synthesizing_Artifact_Core...\n          
\n        \n      \n    `);\n  }\n\n  // Actual Generation\n  try {\n    const generated = await generatePage(path);\n\n    // Save to DB\n    await sqlite.execute({\n      sql:\n        `INSERT OR REPLACE INTO ${TABLE_ID} (path, title, html, ts) VALUES (?, ?, ?, ?)`,\n      args: [path, generated.title, generated.html, Date.now()],\n    });\n\n  \n\n    return c.html(generated.html);\n  } catch (e) {\n    return c.text(\"AI_SYNTHESIS_ERROR: \" + e.message);\n  }\n});\n\nexport default app.fetch;","autogen",[],[355],{"_104":364,"_96":365,"_154":366,"_156":-5,"_157":139,"_158":367,"_160":161,"_106":368,"_100":178,"_164":179,"_166":369,"_167":22,"_168":370,"_169":371,"_99":372},"06ac9e26-f5aa-11f0-9a1e-42dde27851f2","sitegen.ts","ad24d558-f5a9-11f0-8087-42dde27851f2",146,["D",1768877105361],"/** @jsxImportSource npm:hono@3/jsx */\nimport { Hono } from \"npm:hono\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\n\n// --- GLOBAL IDENTITY & BRANDING ---\nconst IDENTITY = {\n  domain: \"sitegen.val.run\",\n  owner: \"Michael Morton\",\n  email: \"ziggyware@gmail.com\",\n  linkedin: \"https://LinkedIn.com/in/ziggyware\",\n  year: \"2026\",\n  bio:\n    `Michael Morton is a lead systems architect and generative visionary at Ziggyware. With an emphasis on macroeconomic structural integrity and digital provenance, he pioneers interfaces that bridge the chasm between raw computational liquidity and human-centric utility. His work is a testament to the disruptive synthesis of graphics engineering and social economic evolution.`,\n};\n\nconst DB_KEY = \"MULTIVERSE_V2\";\nconst TABLES = {\n  SITES: `${DB_KEY}_SITES`,\n  PAGES: `${DB_KEY}_PAGES`,\n};\n\n// --- CORE SERVICES ---\nconst DB = {\n  async init() {\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.SITES} (id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT, slug TEXT UNIQUE, idea TEXT, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n    await sqlite.execute(\n      `CREATE TABLE IF NOT EXISTS ${TABLES.PAGES} (path TEXT PRIMARY KEY, site_id INTEGER, title TEXT, html TEXT, type TEXT, parent TEXT, ts DATETIME DEFAULT CURRENT_TIMESTAMP)`,\n    );\n  },\n  async getSiteBySlug(slug: string) {\n    const r = await sqlite.execute({\n      sql: `SELECT * FROM ${TABLES.SITES} WHERE slug = ?`,\n      args: [slug],\n    });\n    return r.rows[0];\n  },\n};\n\nasync function synthesize(\n  prompt: string,\n  mode: \"site_meta\" | \"folder\" | \"page\",\n  context?: any,\n) {\n  const model = \"mistral\"; // Highest echelon reasoning for complex vocabulary\n  const system =\n    `You are a Grand Architect of the Digital Multiverse. Your vocabulary is profoundly novel, academic, and engaging for young adults. You focus on socioeconomic feasible and macroeconomic structural concepts. Output strictly raw content (JSON or HTML) with no markdown wrappers or conversational fluff.`;\n\n  let userPrompt = \"\";\n  if (mode === \"site_meta\") {\n    userPrompt =\n      `Based on this idea: \"${prompt}\", generate a brilliant, enticing Website Name and a URL-friendly slug. \n                  Return ONLY a JSON object: {\"name\": \"The Title\", \"slug\": \"the-slug\"}`;\n  } else if (mode === \"folder\") {\n    userPrompt =\n      `Architect a directory of 25 sub-modules for the digital ecosystem \"${context.siteName}\" (Theme: ${context.idea}). \n                  Return ONLY a raw JSON array of objects: [{\"title\": \"Module Name\", \"slug\": \"module-name/\"}]. Focus on high-value socioeconomic concepts.`;\n  } else {\n    userPrompt =\n      `Generate a professional, high-quality MSDN-style documentation page for the node \"${prompt}\" within the \"${context.siteName}\" ecosystem. \n                  Use sophisticated, fun, and fun terminology. Include Overview, Macroeconomic Impact, and a code/technical example. \n                  Return ONLY raw HTML body content. Use  for technicals. Include SEO metadata in the first 200 words.`;\n  }\n\n  const res = await fetch(\"https://text.pollinations.ai/\", {\n    method: \"POST\",\n    headers: { \"Content-Type\": \"application/json\" },\n    body: JSON.stringify({\n      messages: [{ role: \"system\", content: system }, {\n        role: \"user\",\n        content: userPrompt,\n      }],\n      model,\n      seed: Math.floor(Math.random() * 1e9),\n    }),\n  });\n\n  const text = await res.text();\n  return text.replace(/```json|```html|```/gi, \"\").trim();\n}\n\n// --- UI COMPONENTS ---\nconst Layout = ({ children, title, path, parent, site = null }: any) => (\n  \n    \n      \n      \n      {title} | Ziggyware Multiverse\n      \n      \n    \n    \n      \n        \n          \n            
 Ziggyware Multiverse\n          \n          \n            About Architect\n            LinkedIn\n          
\n        
\n        \n          LIQUIDITY_INDEX: 0x{Math.random().toString(16).slice(2, 8)}\n        
\n      
\n\n      \n        {site && (\n          \n            \n              {site.name} Structure\n            
\n            \n              \n                \n                  Domain Root\n                \n              
\n              
\n              \n                \n                  ← Return to Nexus\n                \n              
\n            
\n          
\n        )}\n        \n          {parent && (\n            \n              ↑ Up to {parent}\n            \n          )}\n          {children}\n          \n            \n              © 2026 {IDENTITY.owner} |{\" \"}\n              \n                {IDENTITY.email}\n              \n            
\n            \n              \n                Provenance via LinkedIn\n              \n            
\n          
\n        
\n      
\n      \n        Ziggyware Neural synthesis for {IDENTITY.email} | Linked:{\" \"}\n        {IDENTITY.linkedin}\n      
\n    \n  \n);\n\nconst app = new Hono();\n\n// --- Nexus (Landing Page) ---\napp.get(\"/\", async (c) => {\n  await DB.init();\n  return c.html(\n    \n      \n        \n          Manifest your Socioeconomic\n          {\" \"}\n          Empire.\n        
\n        \n          Entice the global markets with architectural brilliance. Enter a\n          conceptual seedling below, and we shall synthesize a full-scale\n          digital ecosystem with profound macroeconomic structural integrity.\n        
\n\n        \n          \n            Digital Seed Idea\n          \n          \n          \n          \n            Initiate Synthesis\n          \n        \n\n        \n          \n            Active Manifestations\n          
\n          \n            {(await sqlite.execute(\n              `SELECT * FROM ${TABLES.SITES} ORDER BY ts DESC LIMIT 10`,\n            )).rows.map((s) => (\n              \n                \n                  {s[1]}\n                
\n                /s/{s[2]}
\n              \n            ))}\n          
\n        
\n      
\n    ,\n  );\n});\n\n// --- About Architect ---\napp.get(\"/about\", async (c) => {\n  return c.html(\n    \n      Michael Morton
\n      \n        Chief Generative Architect @ Ziggyware\n      
\n      \n        {IDENTITY.bio}
\n        \n          Connect for Synthesis
\n          \n            {IDENTITY.email}\n          \n          \n            {IDENTITY.linkedin}\n          \n        
\n      
\n    ,\n  );\n});\n\n// --- Synthesis Actions ---\napp.post(\"/create-site\", async (c) => {\n  const body = await c.req.parseBody();\n  const idea = body.idea as string;\n\n  const meta = JSON.parse(await synthesize(idea, \"site_meta\"));\n  await sqlite.execute({\n    sql:\n      `INSERT OR IGNORE INTO ${TABLES.SITES} (name, slug, idea) VALUES (?, ?, ?)`,\n    args: [meta.name, meta.slug, idea],\n  });\n\n  return c.redirect(`/s/${meta.slug}/`);\n});\n\n// --- Site Resolver (Hierarchical Routes) ---\napp.get(\"/s/:site_slug/*\", async (c) => {\n  await DB.init();\n  const siteSlug = c.req.param(\"site_slug\");\n  const subPath = c.req.path;\n  const site: any = await DB.getSiteBySlug(siteSlug);\n\n  if (!site) return c.redirect(\"/\");\n\n  // Cache Lookup\n  const cached = await sqlite.execute({\n    sql: `SELECT * FROM ${TABLES.PAGES} WHERE path = ?`,\n    args: [subPath],\n  });\n  if (cached.rows.length > 0) {\n    const row = cached.rows[0];\n    return c.html(\n      \n        \n      ,\n    );\n  }\n\n  // Loading Protocol\n  if (c.req.query(\"sync\") !== \"1\") {\n    return c.html(`\n      \n        
\n        \n          Sublimating Macroeconomic Realities...
\n          Our generative engines are calculating the socio-structural liquidity of the requested node within the ${\n      site[1]\n    } domain.
\n          [0x${\n      site[0].toString(16)\n    }] // ${subPath}
\n        
\n        \n        \n      \n    `);\n  }\n\n  // Synthesis\n  try {\n    const isRoot = subPath === `/s/${siteSlug}/`;\n    const isFolder = subPath.endsWith(\"/\");\n    const mode = isRoot ? \"folder\" : \"page\";\n\n    const response = await synthesize(subPath, mode, {\n      siteName: site[1],\n      idea: site[3],\n    });\n    let title =\n      subPath.split(\"/\").filter(Boolean).pop()?.replace(/-/g, \" \")\n        .toUpperCase() || site[1].toUpperCase();\n    let html = \"\";\n    let parent = \"\";\n\n    if (mode === \"folder\") {\n      const items = JSON.parse(response);\n      parent = \"/\"; // Root of everything\n      html = `\n        ${site[1]}
\n        \"${\n        site[3]\n      }\"
\n        \n          ${\n        items.map((i: any) => `\n            \n              Module Protocol
\n              ${i.title}
\n              ${subPath}${i.slug}
\n            \n          `).join(\"\")\n      }\n        
\n      `;\n    } else {\n      const segments = subPath.split(\"/\").filter(Boolean);\n      segments.pop();\n      parent = \"/\" + segments.join(\"/\") + \"/\";\n      html = `${title}
${response}
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