AI That Helps Without Harvesting: Spell Checker + Our Privacy‑First Journey at MOSSLET

About this episode

This episode discusses MOSSLET's new privacy-first spell checker and how AI is integrated without compromising user privacy.

In this quick episode, we share our newest feature—a privacy‑first ✏️ spell checker for your private journal—and walk through how we’ve built AI into MOSSLET without turning your thoughts into training data. From journaling prompts and handwriting OCR to mood insights and image safety checks, we explain exactly what gets sent, where it goes, and how we keep your words yours. 🌱 Extended Show Notes (full description): In this episode, we pull back the curtain on how we’re building AI that helps without harvesting inside MOSSLET, our small, bootstrapped, privacy‑first social network with a private journal at its core. 🌿 We cover: Our new spell checker ✏️ for your private journal, and why we designed it to help you write better without profiling you How journaling prompts work with just a single mood word 😊 instead of your full journal history What happens when you upload a handwritten journal page 📷: image → text → immediate deletion How mood insights use dates, mood labels, and word counts—never your raw entries 💭 Our three‑layer privacy approach : send only what’s necessary, process and delete, and contractual protection with data_collection: "deny" How we use local AI models…

People in this episode

Host: Mosslet

Topics covered

• AI
• privacy
• journaling
• spell checker
• data protection
• technology

Keywords

• AI
• privacy-first
• spell checker
• journaling prompts
• handwriting OCR
• mood insights
• data collection

Mentioned in this episode

Organizations: MOSSLET

Products: spell checker, Bumblebee

Places: Elixir