What if a six-month production bottleneck became a 16-minute job?

Josh Müller, director at tech nonprofit Waha, tells Daniel how forced alignment and smart automation turned a tedious audio-editing gauntlet into a repeatable pipeline that ships Bible study content across dozens of languages. The result is more time for actual disciple-making and less time in Audacity.

They dig into privacy-first analytics in risky contexts, when to choose local models over cloud tools, and why data management is Kingdom stewardship.

🔑 What You’ll Learn in This Episode

• ✅ How timestamping with forced alignment collapsed months of manual audio work into minutes
• ✅ Practical ways nonprofits can use agents and local LLMs without leaking sensitive data
• ✅ A privacy posture that starts with “we can’t leak what we don’t have”
• ✅ When to reach for tools like Whisper for offline transcription, and agentic coders for data chores
• ✅ Why disciplined data stewardship unlocks future AI use while protecting people at risk

🔗 Resources & Links

• 🤝 Connect with Josh on LinkedIn: https://www.linkedin.com/in/thejoshmuller/
• 🌐 Explore Waha: https://waha.app/
• 🌐 Josh’s site: https://joshmuller.ca/
• 📚 Meta’s Massively Multilingual Speech (forced alignment): https://ai.meta.com/blog/multilingual-model-speech-recognition/
• 💻 OpenAI Whisper (speech-to-text): https://github.com/openai/whisper
• 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus
• 👉 Have a guest in mind? Reach out to Daniel at [email protected]

💬 Enjoyed this one? Share it with a builder wrestling with data stewardship and real-world multilingual workflows.