podcast-creator

The agent creates structured podcast-style dialogues optimized for AI-driven text-to-speech (TTS). It formats natural conversations with a lead speaker and an inquisitive co-host, ensuring realistic interruptions and follow-ups. The output is structured for seamless TTS integration.

  • BeeAI
beeai run podcast-creator
Try locally in GUI

Example requests

beeai run podcast-creator 'Artificial intelligence is revolutionizing industries by automating complex tasks, improving efficiency, and enabling data-driven decision-making. In healthcare, AI is helping doctors diagnose diseases earlier and personalize treatments...'

Description

The agent converts structured content into a dynamic, natural-sounding podcast script optimized for AI-driven text-to-speech (TTS) applications. It processes input text and transforms it into a structured dialogue between two speakers: one acting as a knowledgeable host and the other as an inquisitive co-host, ensuring a conversational and engaging discussion. The generated dialogue includes interruptions, follow-up questions, and natural reactions to enhance realism.

How It Works

The agent takes an input content document (e.g., an article, research paper, or structured text) and reformats it into a back-and-forth podcast-style discussion. The output maintains a logical flow, with Speaker 1 explaining concepts while Speaker 2 asks relevant questions, reacts, and occasionally introduces tangents for a more natural feel. The generated script is optimized for AI text-to-speech pipelines, ensuring clarity and proper role differentiation.

Input Parameters

The agent requires the following input parameters:

  • text (string) – The full content or topic material to be converted into a podcast dialogue.

Output Structure

The agent returns a structured JSON list representing the podcast conversation:

  • speaker (number) – Identifies the speaker (1 or 2).
  • text (string) – The spoken dialogue corresponding to each speaker.

Key Features

  • Content-to-Podcast Conversion – Transforms structured text into a natural two-speaker conversation.
  • Optimized for AI TTS – Ensures readability and coherence for AI voice synthesis.
  • Contextual Interruptions & Reactions – Simulates realistic dialogue flow, including clarifications, excitement, and pauses.
  • Speaker Role Differentiation – Ensures Speaker 1 leads the discussion while Speaker 2 maintains curiosity and engagement.

Use Cases

  • Podcast Automation – Converts written content into structured dialogue for AI-generated podcasts.
  • Text-to-Speech Enhancement – Creates AI-friendly scripts with proper pacing and interruptions.
  • Conversational Content Adaptation – Reformats structured information into engaging discussions.

Example Usage

Example 1: Converting an Article into a Podcast

CLI:

beeai run podcast-creator "Artificial intelligence is revolutionizing industries by automating complex tasks, improving efficiency, and enabling data-driven decision-making. In healthcare, AI is helping doctors diagnose diseases earlier and personalize treatments..."

Output:

[
  {"speaker": 1, "text": "Artificial intelligence is changing how industries operate by automating complex tasks and improving efficiency."},
  {"speaker": 2, "text": "Whoa, that’s huge! Umm... but what exactly do you mean by automating complex tasks?"},
  {"speaker": 1, "text": "Good question! Take healthcare, for example. AI helps doctors diagnose diseases earlier and personalize treatments based on patient data."},
  {"speaker": 2, "text": "[laughs] That’s pretty wild! So, does that mean AI will replace doctors?"},
  {"speaker": 1, "text": "Not quite! AI is more like an assistant, helping doctors make better decisions rather than replacing them."}
]