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",[],[220],{"_107":228,"_99":229,"_164":230,"_166":-5,"_167":149,"_168":231,"_169":170,"_109":232,"_104":33,"_173":233,"_175":234,"_177":22,"_178":-5,"_179":235,"_102":236},"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 ${today}:`, err.message);\n }\n}\n",[],[229],{"_107":238,"_99":239,"_164":240,"_166":-5,"_167":149,"_168":241,"_169":170,"_109":242,"_104":124,"_173":187,"_175":243,"_177":22,"_178":-5,"_179":244,"_102":245},"cf1f0cd6-2890-11f1-862e-42dde27851f2","generate-podcast.ts","bae9a9f2-288f-11f1-a387-42dde27851f2",10,["D",1774473784034],"import { blob } from \"https://esm.town/v/std/blob?v=12\";\n\nconst ELEVENLABS_VOICE_ID = \"21m00Tcm4TlvDq8ikWAM\"; // Rachel\n\n// ============================================================\n// DATA SOURCES — customize these for your own podcast!\n// The AI agent can add/remove/edit these via feedback.\n// ============================================================\n\n// --- Weather locations to include ---\n// Uses Open-Meteo (free, no API key needed)\n// Find coordinates at https://open-meteo.com\nconst WEATHER_LOCATIONS = [\n { name: \"New York\", lat: 40.7128, lon: -74.006 },\n // { name: \"London\", lat: 51.5074, lon: -0.1278 },\n // { name: \"Tokyo\", lat: 35.6762, lon: 139.6503 },\n];\n\n// --- Polymarket prediction markets to track ---\n// These are EVENT slugs from polymarket.com/event/{slug}\n// Add or remove as needed\nconst POLYMARKET_EVENTS: { slug: string; label: string }[] = [\n // Example: { slug: \"which-party-will-win-the-senate-in-2026\", label: \"Senate Control 2026\" },\n];\n\n// ============================================================\n// DATA FETCHERS\n// ============================================================\n\ninterface WeatherData {\n location: string;\n high: number;\n low: number;\n unit: string;\n}\n\ninterface PolymarketOutcome {\n label: string;\n question: string;\n outcomes: { name: string; probability: number }[];\n}\n\nasync function fetchWeather(): Promise {\n try {\n const weatherPromises = WEATHER_LOCATIONS.map(async (loc) => {\n const url = `https://api.open-meteo.com/v1/forecast?latitude=${loc.lat}&longitude=${loc.lon}&daily=temperature_2m_max,temperature_2m_min&timezone=auto&forecast_days=1&temperature_unit=fahrenheit`;\n const res = await fetch(url);\n const data = await res.json();\n\n const high = Math.round(data.daily.temperature_2m_max[0]);\n const low = Math.round(data.daily.temperature_2m_min[0]);\n const unit = data.daily_units.temperature_2m_max;\n\n return { location: loc.name, high, low, unit };\n });\n\n return await Promise.all(weatherPromises);\n } catch (error) {\n console.error(\"Failed to fetch weather data:\", error);\n return [];\n }\n}\n\n/**\n * Fetch prediction market data from Polymarket's Gamma API.\n *\n * Tries events endpoint first (for multi-outcome markets),\n * falls back to markets endpoint (for binary Yes/No markets).\n */\nasync function fetchPolymarketData(): Promise {\n const results: PolymarketOutcome[] = [];\n if (POLYMARKET_EVENTS.length === 0) return results;\n\n const headers = { Accept: \"application/json\", \"User-Agent\": \"ValTownDailyPodcast/1.0\" };\n\n for (const { slug, label } of POLYMARKET_EVENTS) {\n try {\n // Strategy 1: Try the events endpoint (multi-outcome markets)\n const eventRes = await fetch(\n `https://gamma-api.polymarket.com/events?slug=${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 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) {\n outcomes.push({ name, probability: prob });\n }\n }\n outcomes.sort((a, b) => b.probability - a.probability);\n if (outcomes.length > 0) {\n results.push({ label, question, outcomes });\n continue;\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 }\n }\n }\n } catch (error) {\n console.error(`Failed to fetch Polymarket data for ${slug}:`, error);\n }\n }\n\n return results;\n}\n\n// ============================================================\n// PODCAST GENERATION\n// ============================================================\n\nexport async function generatePodcast(): Promise<{ url: string; text: string }> {\n const apiKey = Deno.env.get(\"ELEVEN_LABS_API_KEY\");\n if (!apiKey) throw new Error(\"ELEVEN_LABS_API_KEY not set\");\n\n const today = new Date().toLocaleDateString(\"en-US\", {\n weekday: \"long\",\n year: \"numeric\",\n month: \"long\",\n day: \"numeric\",\n timeZone: \"America/New_York\",\n });\n\n // Fetch all data sources in parallel\n const [weather, polymarket] = await Promise.all([\n fetchWeather(),\n fetchPolymarketData(),\n ]);\n\n const script = generateScript(today, weather, polymarket);\n\n // Call ElevenLabs TTS\n const res = await fetch(\n `https://api.elevenlabs.io/v1/text-to-speech/${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 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\n// ============================================================\n// SCRIPT BUILDER\n// ============================================================\n\nfunction generateScript(\n today: string,\n weather?: WeatherData[],\n polymarket?: PolymarketOutcome[],\n): string {\n const parts: string[] = [\n `Good morning. It's ${today}.`,\n \"Here's your daily brief.\",\n ];\n\n // Weather\n if (weather && weather.length > 0) {\n parts.push(\"Let's start with the weather.\");\n for (const loc of weather) {\n parts.push(\n `In ${loc.location}, expect a high of ${loc.high} and a low of ${loc.low} degrees Fahrenheit.`,\n );\n }\n }\n\n // Prediction markets\n if (polymarket && polymarket.length > 0) {\n parts.push(\"Now, prediction markets.\");\n for (const market of polymarket) {\n if (\n market.outcomes.length > 2\n || (market.outcomes.length === 2 && market.outcomes[0].name !== \"Yes\")\n ) {\n const top = market.outcomes.slice(0, 3);\n const outcomeText = top\n .map((o) => `${o.name} at ${Math.round(o.probability * 100)}%`)\n .join(\", \");\n parts.push(`${market.label}: Polymarket has ${outcomeText}.`);\n } else {\n const pct = Math.round(market.outcomes[0].probability * 100);\n parts.push(`${market.label}: Polymarket says ${pct}% yes.`);\n }\n }\n }\n\n parts.push(\"Have a great day.\");\n\n return parts.join(\" \");\n}\n",[],[239],{"_107":247,"_99":248,"_164":249,"_166":-5,"_167":149,"_168":250,"_169":170,"_109":251,"_104":33,"_173":205,"_175":252,"_177":22,"_178":-5,"_179":253,"_102":254},"f236d33a-288f-11f1-b8db-42dde27851f2","podcast-player.ts","f236d3e4-288f-11f1-b8db-42dde27851f2",5,["D",1774473413420],"import { blob } from \"https://esm.town/v/std/blob?v=12\";\n\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n const date = url.searchParams.get(\"date\") || new Date().toISOString().split(\"T\")[0];\n const blobKey = `self-improving-podcast/episodes/${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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dcm31

self-improving-podcast

Changelog

2026-03-25 — Initial version