Initial commit: PodcastYes — AI podcast platform

2026-06-07 03:58:32 -04:00
commit 155507f21a
151 changed files with 19826 additions and 0 deletions
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+import { z } from "zod";
+import { openai, SCRIPT_MODEL } from "@/lib/ai/openai";
+import type { StructuredScript, TokenUsage } from "@/lib/ai/types";
+
+export type RepurposeFormat = "blog" | "social_thread" | "newsletter";
+
+const FORMAT_PROMPTS: Record<RepurposeFormat, string> = {
+  blog: "Write an engaging, SEO-friendly blog post based on this episode. Include a compelling title and well-structured markdown body with headings and a short conclusion.",
+  social_thread:
+    "Write a punchy social thread (6–10 posts, numbered) summarizing the episode's best insights. Start with a strong hook. Put the whole thread in the markdown body.",
+  newsletter:
+    "Write a friendly email newsletter edition about this episode: a subject line as the title, a short intro, 3–4 key takeaways as bullets, and a call-to-action to listen. Markdown body.",
+};
+
+const outputSchema = z.object({ title: z.string().min(1), body: z.string().min(1) });
+export type RepurposedOutput = z.infer<typeof outputSchema>;
+
+function scriptToText(script: StructuredScript): string {
+  return script.sections
+    .map((s) => `## ${s.title}\n` + s.turns.map((t) => t.text).join("\n"))
+    .join("\n\n");
+}
+
+export async function repurposeScript(
+  script: StructuredScript,
+  format: RepurposeFormat
+): Promise<{ content: RepurposedOutput; usage: TokenUsage }> {
+  const transcript = scriptToText(script).slice(0, 9000);
+  const res = await openai().chat.completions.create({
+    model: SCRIPT_MODEL,
+    messages: [
+      {
+        role: "system",
+        content:
+          "You are a content marketer who repurposes podcast episodes into other formats. Return STRICT JSON: { \"title\": string, \"body\": string } where body is markdown.",
+      },
+      {
+        role: "user",
+        content: `${FORMAT_PROMPTS[format]}\n\nEpisode title: ${script.title}\n\nTranscript:\n${transcript}`,
+      },
+    ],
+    response_format: { type: "json_object" },
+    temperature: 0.7,
+  });
+  const content = outputSchema.parse(JSON.parse(res.choices[0]?.message?.content ?? "{}"));
+  return {
+    content,
+    usage: {
+      inputTokens: res.usage?.prompt_tokens ?? 0,
+      outputTokens: res.usage?.completion_tokens ?? 0,
+    },
+  };
+}