A quick tutorial on using deep research tools + TTS to create unlimited educational listening content. Perfect for learners who've exhausted their podcast queue.
If you've finished Machine Learning Guide, your commute didn't end with it. Here's how to generate your own episodes.
Use AI deep research tools like Gemini Deep Research (free), Perplexity (citations), or Claude (natural prose) to synthesize any topic into a comprehensive guide.
I want to deeply understand [TOPIC]. Write a comprehensive educational guide covering:
- Core concepts and fundamentals
- Historical context and why this matters
- How it works technically (at an intermediate level)
- Key papers, breakthroughs, or milestones
- Current state-of-the-art and open problems
- Practical applications and real-world examples
Write for someone with a technical background who is new to this specific topic.
Be thorough but avoid unnecessary jargon. Aim for 3000-5000 words.
Replace [TOPIC] with whatever you're learning: "transformer attention mechanisms", "RLHF in language models", etc.
Get markdown output (Gemini: Export to Docs → Download as Markdown).
| /tts | ElevenLabs GenFM | |
|---|---|---|
| Cost | Free / cheap credits | Free (app) / $5-22/mo |
| Quality | Good (Kokoro) | Near-perfect |
| Format | Single narrator | 2-host discussion |
| Killer feature | Podcast RSS feed | Upload doc → instant podcast |
| Best for | Scripted content | Source material (PDFs, articles) |
The limiting factor in learning is no longer access to information. It's time. This workflow converts dead time (commuting, chores, exercise) into learning.
/tts (free, RSS feed) · ElevenLabs GenFM (2-host podcasts from docs)

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