Transcribing long audio sermons and turning them into book chapters is a time-consuming process. It took Ian Banner1 3 months to do this for his first book. But with the help of AI tools, he was able to significantly reduce that time.
Today I walk Ian through using AI tools to extract a 1 hour sermon transcript and turn it into a 3000 word chapter for his next book in minutes, not months.
We started from a transcript of a one hour sermon experiment and with the help of claude-instant-100k , an AI model from Anthropic with a massive context of 100,000 tokens (equivalent to 350 pages!) that allows it to work on long form text. After feeding the full transcript, Claude Instant provides a surprisingly accurate chapter structure and even suggests further points Ian could explore.
However, the initial summary is only around 500 words. Ricardo explains that to get AI models2 to hit an exact word count requires being more specific and even asking it to expand each paragraph.
The key takeaway is that context3 is becoming increasingly important for AI models. Models with more contextual memory like Claude Instant are able to perform complex summarization tasks that previously required a lot of manual work.
While AI won't replace human creativity, when used judiciously it can help amplify our efforts. In Ian's case, it will allow him to publish his next book weeks faster by automating some of the repetitious transcription and summarization work.
However, they must also have important discussions about the appropriate use of AI. While these tools can boost productivity, we need to ensure they don't replace critical human functions like evaluating students' deep understanding.
In the end, AI augments - it doesn't replace. The responsibility is still on us, the human creators, to generate original content and have meaningful conversations that machines cannot. AI is a tool to help us spend our time where it matters most.
How might AI change the way you work? Let me know in the comments.
Want do dive Deeper?
Make sure to watch Last Week’s episode to learn more about Claude and Poe.
How did AI Help Me?
Poe Helped me create the summaryI used Claude 100k in Poe.com, click here to see the full conversation:
Descript.com and Riverside.fm allowed me to capture and edit the video in munutes not hours. the video in full quality.
Definitions
Ian banner is a christian leader who is my cohost of Enterprise Agility Mastery He also has his own podcast The School of Safe and Humble Prophets.
Context is key to the ability of large language models (LLMs) to generate natural language. LLMs like Claude Instant have access to hundreds of thousands of tokens of context, which provides a broad range of knowledge about language structure, meaning, and common sequences of words. With more context, these models can predict appropriate words, phrases or sentences that logically follow what came before.
AI Models (LLMs) are AI systems trained on massive amounts of text data to understand language. Before large language models, most AI systems had very little context to work with. Early chatbots and virtual assistants relied on predefined rules and scripts to have basic conversations. They struggled with open-domain discussions because they lacked the broad, flexible understanding of language that comes from exposure to a diversity of contexts.
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