Podcasts are a powerful way to share knowledge and insights. This guide shows you how to use @deep-dive to conduct thorough research and the Speech Generator tool to transform that research into an audio podcast.

In this guide, you will learn how to:

• Use @deep-dive to conduct comprehensive research on any topic
• Structure research findings into an engaging podcast script with dialogue
• Generate natural-sounding audio using the Speech Generator tool
• Combine multiple audio segments into a complete podcast episode

Step 1: Request comprehensive research from @deep-dive

Start by mentioning @deep-dive in any conversation and provide your podcast topic. Deep-dive will conduct thorough investigation across your company data, data warehouses, and web sources.

Example prompt:

@deep-dive I need to create a podcast about our Q4 product launches. Research our product documentation, recent releases, customer feedback, and competitive positioning.  Include specific metrics and customer examples.

Deep-dive will:

• Automatically classify your request as complex and create a research plan
• Spawn up to 6 concurrent sub-agents to gather information in parallel
• Search across company data sources (Slack, Notion, GitHub, databases)
• Browse relevant web pages and external sources
• Synthesize findings into a comprehensive report

💡 Pro Tip: Be specific about what you want included in the research. Mention timeframes, data sources, or particular angles you want covered. Deep-dive works best with clear scope and objectives.

Step 2: Request a podcast script in dialogue format

Once you have the research results, ask @deep-dive to transform the findings into a podcast script with multiple speakers.

Example prompt: