My AI stack: tools and infrastructure for a productivity-focused setup
A detailed look at my constantly evolving AI stack, from LLM APIs and frontends to vector storage, orchestration, and Docker deployment.
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A detailed look at my constantly evolving AI stack, from LLM APIs and frontends to vector storage, orchestration, and Docker deployment.
A structured context data repository of career information designed to power AI assistants for cover letters, resume tailoring, and job search support.
A demonstration of how to structure a public context data repository for seeding LLM-based assistants with personal information.
Using AI to brainstorm and seed personal context data stores that make LLM interactions exponentially more useful and personalised.
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.