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.
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.