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Generate Podcast Episode

Generate Podcast Episode

Converts written content into a complete podcast episode. Accepts a block of text and a desired voice style, analyzes the content structure with OpenAI, generates a markdown podcast script with defined sections and tone, then uses OpenAI text-to-speech to produce and upload a high-quality audio file. Returns both the podcast script (in markdown) and a downloadable podcast audio file.

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Link to tool

https://buildship.tools/tool/5tbIwfU8GTmI
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Inputs

Voice Style

storytelling, interview

Content

Why Deep Work Matters in a Distracted World In today's hyperconnected environment, the ability to focus without distraction has become increasingly rare—and increasingly valuable. The concept of "deep work," coined by Cal Newport, refers to professional activities performed in a state of distraction-free concentration that push your cognitive capabilities to their limit. Studies show that knowledge workers now spend less than 30% of their workday in deep focus, with the rest fragmented by meetings, emails, and notifications. Yet it's precisely this deep focus that produces our most meaningful contributions. The neuroscience is clear: each time we switch tasks, we incur a "switching cost" that drains our finite cognitive resources. Multitasking isn't actually possible for the human brain—we're simply rapidly switching between tasks, dramatically reducing our effectiveness at each. To reclaim our capacity for deep work, we must intentionally design our environment and habits. This includes: 1. Scheduling deep work blocks on your calendar 2. Creating distraction-free environments 3. Training your concentration like a muscle 4. Embracing boredom rather than constantly seeking stimulation 5. Implementing digital minimalism practices Those who master deep work in an increasingly shallow world will thrive professionally and experience the profound satisfaction that comes from pushing their capabilities to their limits.
This is a static example using sample inputs. Remix the tool to run it with your own values.

Output

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