Got it! Your feedback has been saved and the AI agent will process it before the next episode.

`\n : \"\";\n\n return `\n\n\n Podcast Feedback — ${ep}\n \n \n\n\n

🎙️ Podcast Feedback

${ep === \"general\" ? \"General feedback\" : `Episode: ${ep}`}

\n ${resultHtml}\n \n

Your feedback is saved instantly and processed by an AI agent before the next episode generates.

\n\n`;\n}\n\nfunction esc(s: string): string {\n return s.replace(/&/g, \"&\").replace(//g, \">\").replace(/\"/g, \""\");\n}\n",[],[204],{"_108":212,"_99":213,"_165":214,"_167":-5,"_168":150,"_169":215,"_171":172,"_110":216,"_104":33,"_174":217,"_176":218,"_178":22,"_179":-5,"_180":219,"_102":220},"d7b34c5a-288f-11f1-b8db-42dde27851f2","generate-daily.ts","d7b34d0e-288f-11f1-b8db-42dde27851f2",3,["D",1774473368937],"interval","import { blob } from \"https://esm.town/v/std/blob?v=12\";\nimport { generatePodcast } from \"./generate-podcast.ts\";\nimport { runAgent } from \"./agent.ts\";\n\n/** Process any unprocessed podcast feedback through the agent */\nasync function processPendingFeedback() {\n try {\n const allFeedback = await blob.list(\"self-improving-podcast/feedback/\");\n const unprocessed: { key: string; data: any }[] = [];\n\n for (const f of allFeedback) {\n const data = await blob.getJSON(f.key) as any;\n if (data && !data.processed) {\n unprocessed.push({ key: f.key, data });\n }\n }\n\n if (unprocessed.length === 0) {\n console.log(\"No pending feedback to process.\");\n return;\n }\n\n console.log(`Processing ${unprocessed.length} pending feedback items...`);\n\n // Combine all feedback into one agent call\n const feedbackText = unprocessed\n .map((f, i) => `Feedback ${i + 1} (${f.data.episode || \"general\"}):\\n${f.data.feedback}`)\n .join(\"\\n\\n\");\n\n const result = await runAgent(\n `Process the following user feedback for the podcast:\\n\\n${feedbackText}`,\n \"podcast-feedback-batch\",\n );\n\n console.log(\"Agent processed feedback:\", result.appliedEdits.length, \"edits applied\");\n\n // Mark all as processed\n for (const f of unprocessed) {\n await blob.setJSON(f.key, { ...f.data, processed: true, processedAt: new Date().toISOString() });\n }\n } catch (err) {\n console.error(\"Failed to process feedback:\", err.message);\n // Don't block episode generation if feedback processing fails\n }\n}\n\nexport default async function () {\n const today = new Date().toLocaleDateString(\"en-US\", {\n weekday: \"long\",\n year: \"numeric\",\n month: \"long\",\n day: \"numeric\",\n timeZone: \"America/New_York\",\n });\n\n // Step 1: Process any pending feedback through the agent\n // This may modify generate-podcast.ts before we call it\n await processPendingFeedback();\n\n // Step 2: Generate podcast\n try {\n const podcast = await generatePodcast();\n console.log(`✅ Podcast generated for ${today}: ${podcast.url}`);\n console.log(`Script: ${podcast.text.slice(0, 200)}...`);\n } catch (err) {\n console.error(`❌ Podcast generation failed for ${today}:`, err.message);\n }\n}\n",[],[213],{"_108":222,"_99":103,"_165":223,"_167":-5,"_168":150,"_169":125,"_171":22,"_110":224,"_104":33,"_174":175,"_176":225,"_178":22,"_179":-5,"_180":226,"_102":227},"bae9a8f8-288f-11f1-a387-42dde27851f2","bae9a9f2-288f-11f1-a387-42dde27851f2",["D",1774473320634],"import { blob } from \"https://esm.town/v/std/blob?v=12\";\n\nconst ELEVENLABS_VOICE_ID = \"21m00Tcm4TlvDq8ikWAM\"; // Rachel\n\n// --- Polymarket slugs to track ---\n// These are EVENT slugs from polymarket.com/event/{slug}\n// Add or remove as needed\nconst POLYMARKET_EVENTS = [\n { slug: \"which-party-will-win-the-senate-in-2026\", label: \"Senate Control 2026\" },\n];\n\ninterface BurpeeData {\n date: string;\n day: string;\n goal: number;\n probability: number;\n ev: number;\n logged: number | null;\n achieved: number;\n}\n\ninterface WeatherData {\n location: string;\n high: number;\n low: number;\n unit: string;\n}\n\ninterface VO2MaxData {\n estimatedVO2Max: number;\n calorieGoal: number;\n calorieGoalProbability: number;\n breakevenGoal: number;\n}\n\ninterface PolymarketOutcome {\n label: string; // e.g. \"Senate Control 2026\"\n question: string; // e.g. \"Which party will win the Senate in 2026?\"\n outcomes: { name: string; probability: number }[];\n}\n\nasync function fetchWeather(): Promise {\n try {\n // Only Araçatuba, São Paulo, Brazil: -21.2089, -50.4331\n const locations = [\n { name: \"Araçatuba, Brazil\", lat: -21.2089, lon: -50.4331 }\n ];\n\n const weatherPromises = locations.map(async (loc) => {\n const url = `https://api.open-meteo.com/v1/forecast?latitude=${loc.lat}&longitude=${loc.lon}&daily=temperature_2m_max,temperature_2m_min&timezone=auto&forecast_days=1&temperature_unit=fahrenheit`;\n const res = await fetch(url);\n const data = await res.json();\n \n const high = Math.round(data.daily.temperature_2m_max[0]);\n const low = Math.round(data.daily.temperature_2m_min[0]);\n const unit = data.daily_units.temperature_2m_max; // Should be °F\n \n return {\n location: loc.name,\n high,\n low,\n unit\n };\n });\n\n return await Promise.all(weatherPromises);\n } catch (error) {\n console.error(\"Failed to fetch weather data:\", error);\n return [];\n }\n}\n\nasync function fetchVO2MaxData(): Promise {\n try {\n // Your VO2 max dashboard val\n const VO2_API = \"https://dcm31--d7f3c960087811f1ac9b42dde27851f2.web.val.run\";\n const res = await fetch(`${VO2_API}/api/vo2max`);\n \n if (!res.ok) {\n console.error(\"VO2 max API not available:\", res.status);\n return null;\n }\n \n const data = await res.json();\n return {\n estimatedVO2Max: data.estimatedVO2Max || 0,\n calorieGoal: data.calorieGoal || 0,\n calorieGoalProbability: data.calorieGoalProbability || 0,\n breakevenGoal: data.breakevenGoal || 0,\n };\n } catch (error) {\n console.error(\"Failed to fetch VO2 max data:\", error);\n return null;\n }\n}\n\n/**\n * Fetch prediction market data from Polymarket's Gamma API.\n * Uses the same API as therundown val: gamma-api.polymarket.com\n * \n * Tries events endpoint first (for multi-outcome markets like Senate control),\n * falls back to markets endpoint (for binary Yes/No markets).\n */\nasync function fetchPolymarketData(): Promise {\n const results: PolymarketOutcome[] = [];\n const headers = { \"Accept\": \"application/json\", \"User-Agent\": \"ValTownDailyPodcast/1.0\" };\n\n for (const { slug, label } of POLYMARKET_EVENTS) {\n try {\n // Strategy 1: Try the events endpoint (multi-outcome markets)\n let eventRes = await fetch(\n `https://gamma-api.polymarket.com/events?slug=${slug}&closed=false`,\n { headers }\n );\n\n if (eventRes.ok) {\n const events = await eventRes.json();\n if (Array.isArray(events) && events.length > 0) {\n const event = events[0];\n const question = event.title || event.question || slug;\n const markets = event.markets || [];\n \n if (markets.length > 0) {\n const outcomes: { name: string; probability: number }[] = [];\n for (const market of markets) {\n const name = market.groupItemTitle || market.question || \"Unknown\";\n // outcomePrices is a JSON string like '[\"0.85\",\"0.15\"]'\n // First element is \"Yes\" probability for that outcome\n let prob = 0;\n if (market.outcomePrices) {\n try {\n const prices = JSON.parse(market.outcomePrices);\n prob = parseFloat(prices[0]) || 0;\n } catch {}\n }\n if (prob > 0.01) { // Skip near-zero outcomes\n outcomes.push({ name, probability: prob });\n }\n }\n // Sort by probability descending\n outcomes.sort((a, b) => b.probability - a.probability);\n if (outcomes.length > 0) {\n results.push({ label, question, outcomes });\n console.log(`Polymarket [${label}]: ${outcomes.map(o => `${o.name} ${Math.round(o.probability * 100)}%`).join(\", \")}`);\n continue; // Got data from events endpoint, skip fallback\n }\n }\n }\n }\n\n // Strategy 2: Fallback to markets endpoint (binary Yes/No)\n const marketRes = await fetch(\n `https://gamma-api.polymarket.com/markets?slug=${slug}&closed=false`,\n { headers }\n );\n\n if (marketRes.ok) {\n const markets = await marketRes.json();\n const market = Array.isArray(markets) ? markets[0] : null;\n if (market && market.outcomePrices) {\n const question = market.question || slug;\n const prices = JSON.parse(market.outcomePrices);\n const yesProb = parseFloat(prices[0]) || 0;\n if (yesProb > 0) {\n results.push({\n label,\n question,\n outcomes: [\n { name: \"Yes\", probability: yesProb },\n { name: \"No\", probability: 1 - yesProb },\n ],\n });\n console.log(`Polymarket [${label}]: Yes ${Math.round(yesProb * 100)}%`);\n }\n }\n }\n } catch (error) {\n console.error(`Failed to fetch Polymarket data for ${slug}:`, error);\n }\n }\n\n return results;\n}\n\nasync function fetchBurpeeData(): Promise {\n try {\n const BURPEES_API = \"https://dcm31--d7f3c960087811f1ac9b42dde27851f2.web.val.run\";\n const res = await fetch(`${BURPEES_API}/api/goal`);\n const data = await res.json();\n return {\n date: data.date,\n day: data.day,\n goal: data.goal,\n probability: data.probability,\n ev: data.ev,\n logged: data.logged,\n achieved: data.achieved,\n };\n } catch (e) {\n console.error(\"Failed to fetch burpee data:\", e);\n return null;\n }\n}\n\nexport async function generatePodcast(): Promise<{ url: string; text: string }> {\n const apiKey = Deno.env.get(\"ELEVEN_LABS_API_KEY\");\n if (!apiKey) throw new Error(\"ELEVEN_LABS_API_KEY not set\");\n\n const today = new Date().toLocaleDateString(\"en-US\", {\n weekday: \"long\",\n year: \"numeric\",\n month: \"long\",\n day: \"numeric\",\n timeZone: \"America/New_York\",\n });\n\n // Fetch all data sources in parallel\n const [weather, vo2Data, polymarket, burpees] = await Promise.all([\n fetchWeather(),\n fetchVO2MaxData(),\n fetchPolymarketData(),\n fetchBurpeeData(),\n ]);\n\n const script = generateScript(today, burpees, weather, vo2Data, polymarket);\n\n // Call ElevenLabs TTS\n const res = await fetch(\n `https://api.elevenlabs.io/v1/text-to-speech/${ELEVENLABS_VOICE_ID}`,\n {\n method: \"POST\",\n headers: {\n \"xi-api-key\": apiKey,\n \"Content-Type\": \"application/json\",\n Accept: \"audio/mpeg\",\n },\n body: JSON.stringify({\n text: script,\n model_id: \"eleven_monolingual_v1\",\n voice_settings: {\n stability: 0.5,\n similarity_boost: 0.75,\n },\n }),\n }\n );\n\n if (!res.ok) {\n const err = await res.text();\n throw new Error(`ElevenLabs API error: ${res.status} ${err}`);\n }\n\n const audioBuffer = await res.arrayBuffer();\n const dateKey = new Date().toISOString().split(\"T\")[0];\n const ts = Date.now();\n const blobKey = `self-improving-podcast/episodes/${dateKey}-${ts}.mp3`;\n\n // Store as blob\n await blob.set(blobKey, new Uint8Array(audioBuffer));\n\n console.log(`Podcast generated and stored: ${blobKey} (${audioBuffer.byteLength} bytes)`);\n\n return { url: blobKey, text: script };\n}\n\nfunction generateScript(\n today: string,\n burpees?: BurpeeData | null,\n weather?: WeatherData[],\n vo2Data?: VO2MaxData | null,\n polymarket?: PolymarketOutcome[],\n): string {\n const parts: string[] = [\n `Good morning. It's ${today}.`,\n \"Here's your daily brief.\",\n ];\n\n // Add weather section - now only Araçatuba\n if (weather && weather.length > 0) {\n parts.push(\"Let's start with the weather.\");\n const aracatuba = weather[0]; // Should be the only location now\n parts.push(`In ${aracatuba.location}, expect a high of ${aracatuba.high} and a low of ${aracatuba.low} degrees Fahrenheit.`);\n }\n\n // Add VO2 max section with all requested metrics\n if (vo2Data) {\n parts.push(\"Now for your fitness metrics.\");\n if (vo2Data.estimatedVO2Max > 0) {\n parts.push(`Your estimated VO2 max is ${vo2Data.estimatedVO2Max}.`);\n }\n if (vo2Data.calorieGoal > 0) {\n parts.push(\n `Your calorie goal for today is ${vo2Data.calorieGoal} calories,`,\n `with a ${vo2Data.calorieGoalProbability}% probability of reaching it.`\n );\n }\n if (vo2Data.breakevenGoal > 0) {\n parts.push(`Your breakeven goal is ${vo2Data.breakevenGoal} calories.`);\n }\n }\n\n // Burpees section\n if (burpees) {\n parts.push(\"Moving on to your burpees.\");\n const ev = Math.round(burpees.ev * 10) / 10;\n parts.push(\n `Your burpee goal today is ${burpees.goal}.`,\n `The model predicts a ${burpees.probability}% chance of completion,`,\n `giving you an expected value of ${ev} burpees.`,\n );\n if (burpees.logged != null) {\n if (burpees.achieved) {\n parts.push(`You've already done your ${burpees.goal} burpees today. Nice work.`);\n } else {\n parts.push(`You've logged ${burpees.logged} burpees so far.`);\n }\n }\n }\n\n // Prediction markets section - moved to the END as requested\n if (polymarket && polymarket.length > 0) {\n parts.push(\"Finally, prediction markets.\");\n for (const market of polymarket) {\n // For multi-outcome markets, read the top outcomes\n if (market.outcomes.length > 2 || (market.outcomes.length === 2 && market.outcomes[0].name !== \"Yes\")) {\n // Multi-outcome: \"Senate Control: Democrats at 62%, Republicans at 38%\"\n const top = market.outcomes.slice(0, 3); // top 3 at most\n const outcomeText = top\n .map(o => `${o.name} at ${Math.round(o.probability * 100)}%`)\n .join(\", \");\n parts.push(`${market.label}: Polymarket has ${outcomeText}.`);\n } else {\n // Binary Yes/No market\n const pct = Math.round(market.outcomes[0].probability * 100);\n parts.push(`${market.label}: Polymarket says ${pct}% yes.`);\n }\n }\n }\n\n parts.push(\"Have a great day.\");\n\n return parts.join(\" \");\n}\n",[],[103],{"_108":229,"_99":230,"_165":231,"_167":-5,"_168":150,"_169":232,"_171":172,"_110":233,"_104":33,"_174":198,"_176":234,"_178":22,"_179":-5,"_180":235,"_102":236},"f236d33a-288f-11f1-b8db-42dde27851f2","podcast-player.ts","f236d3e4-288f-11f1-b8db-42dde27851f2",5,["D",1774473413420],"import { blob } from \"https://esm.town/v/std/blob?v=12\";\n\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n const date = url.searchParams.get(\"date\") || new Date().toISOString().split(\"T\")[0];\n const blobKey = `self-improving-podcast/episodes/${date}.mp3`;\n\n // If requesting the raw audio\n if (url.searchParams.get(\"raw\") === \"1\") {\n try {\n const audioResponse = await blob.get(blobKey);\n if (!audioResponse) return new Response(\"No podcast for this date\", { status: 404 });\n // blob.get returns a Response — get the actual bytes\n const audioBuffer = await audioResponse.arrayBuffer();\n return new Response(audioBuffer, {\n headers: {\n \"Content-Type\": \"audio/mpeg\",\n \"Content-Length\": String(audioBuffer.byteLength),\n \"Accept-Ranges\": \"bytes\",\n \"Content-Disposition\": `inline; filename=\"podcast-${date}.mp3\"`,\n },\n });\n } catch {\n return new Response(\"No podcast for this date\", { status: 404 });\n }\n }\n\n // Simple HTML player\n const audioUrl = `${url.origin}${url.pathname}?date=${date}&raw=1`;\n\n return new Response(\n `\n\n\n Daily Podcast — ${date}\n \n \n\n\n

🎙️ Daily Podcast

${date}

Download MP3

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