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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: / 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... 💻 OpenAI Whisper (speech-to-text): https://github.com/openai/whisper 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#hausa 👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus 💬 Enjoyed this one? Share it with a builder wrestling with data stewardship and real-world multilingual workflows.