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Obsidian: Private AI Journaling
Explore using an AI‑powered private journal to conduct self‑conversations, analyze emotions, and gain insights while maintaining data privacy and personalization control.
Zuckerberg recently said in a public interview with Dwarkesh that a top usage of AI is to prepare to have a tough conversation with a loved one or a manager. But, I use it to have conversations with someone even more difficult, myself.
I really enjoy using ChatGPT and other models for this, however with memories and personalization, it started popping up in my other prompts which made me nervous. Do I want my most private thoughts being stored forever and used for personalization?
I journal a lot and wanted to be completely free to express how I feel, and use AI to ask questions that help me think differently.
In my journal entries, I ask it.
“Talk to this journal entry like a good friend”
“Is there another reason for this person’s behavior that I’m not seeing?”
“Is there something that I’m not seeing as a result of the trauma I’ve experienced?”
“Pretend you are Bill Campbell, the famous coach to Silicon Valley coach, what does this person need to hear?”
Obsidian plugin enabling private, local LLM chat interaction with notes.
- TypeScriptTypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.TypeScript is a high-level, open-source language developed by Microsoft: it acts as a superset of JavaScript, adding a powerful static type system. This system enables compile-time type checking, catching errors before runtime (a critical benefit for large-scale applications). The TypeScript Compiler (TSC) reliably transpiles all code into clean, standards-based JavaScript (ES3 or newer), ensuring compatibility across any browser or host environment (Node.js, React.js, etc.).
- LM StudioLM Studio is the cross-platform desktop application for downloading, running, and serving local LLMs (Llama, Gemma, Qwen) on macOS, Windows, and Linux.LM Studio delivers local LLM power directly to your desktop (macOS, Windows, Linux). Use the built-in catalog to discover and download models like Llama 3.1 or Gemma 2 in formats like GGUF and MLX. Run these models offline via a simple chat interface, or expose them over an OpenAI-compatible REST API for seamless integration with your development projects. This is local, private AI: full control, zero cloud dependency.
- Gemma 3Google DeepMind's most advanced open-weight model: multimodal, multilingual, and optimized for single-accelerator deployment.Gemma 3 is Google DeepMind's latest family of open-weight models, built on the same technology powering the Gemini 2.0 series. It delivers state-of-the-art performance for its size, available in four variants (1B, 4B, 12B, and the flagship 27B) to ensure efficient deployment across diverse hardware, from phones to single-GPU workstations. Key technical upgrades include a massive 128K-token context window and integrated multimodal capabilities, allowing for analysis of text, images, and video. The model also boasts unparalleled multilingual support, covering over 140 languages, making it a powerful, portable, and responsibly developed foundation for global AI applications.
- CursorThe AI-native code editor designed for high-velocity development through deep LLM integration.Cursor is a fork of VS Code that embeds AI directly into the development workflow while maintaining full extension compatibility. It leverages models like Claude 3.5 Sonnet and GPT-4o to power features such as Cmd+K for inline edits and Cmd+L for codebase-wide chat. By indexing local files, Cursor provides precise context for its predictive 'Tab' completions and multi-file 'Composer' mode. This setup allows engineers to move from high-level intent to functional code without leaving the editor or losing context.