TAG VIEW
4 items across 2 domains
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Writing
Modern AI systems are becoming increasingly orchestration-heavy, but optimizing them based only on final outputs is becoming unreliable. This article explores how multimodal workflows, model variability, latency, token costs, and debugging opacity pushed me toward thinking more about inspectability, workflow visibility, and AI systems engineering.
Projects
SemanticFS is a local-first CLI tool that indexes Markdown, text, and text-based PDF files, then lets users search them by meaning instead of exact keywords. It keeps embeddings, metadata, and vector search fully on the user’s machine.
Projects
MindMap-AI converts academic PDFs into a Neo4j-backed semantic graph and answers questions using graph-selected evidence instead of ungrounded document summaries. The system links answers back to citations, graph relationships, and source PDF passages.
Projects
Promptura is an iterative prompt optimization system for multimodal generation models. Instead of making users manually guess the right prompt, it generates candidate prompts from a task goal, runs them against selected models, and uses user feedback to refine the next iteration.