Personalised AI: a proposal for proactive, interview-based context generation
An architecture proposal for generating personalised AI context through deliberate interview-driven workflows rather than passive data collection.
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An architecture proposal for generating personalised AI context through deliberate interview-driven workflows rather than passive data collection.
A workflow for building personal context data stores using specialized AI agents that interview you and feed structured data into RAG pipelines.
A massive collection of prompts for rewriting any text in Shakespearean English, organized by format and purpose.
A curated collection of system prompts that transform raw speech-to-text output into polished formats like emails, blog posts, and business documents.
A comprehensive library of system prompts for transforming dictated or raw text into structured formats like emails, docs, and reports.
A repository of general-purpose system prompts for configuring LLMs as useful everyday assistants, with personality and context modules.
A Streamlit app for building custom LLM system prompts by mixing and matching configurable identity, style, and output parameters.
A PyQt6 desktop app that helps you review and selectively delete local GitHub repositories to reclaim disk space.
A simple graphical interface for creating on-demand BTRFS snapshots with Snapper, with desktop notifications.
A simple CLI tool that makes creating BTRFS snapshots with Snapper quick and painless from the terminal.
A compact local dashboard showing time, emails, calendar, weather, and news headlines, optimized for 7-inch displays.
A personalized desktop dashboard combining Hebrew calendar data, zmanim, weather, email, and Google services for daily productivity.