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aiPhase: exploration
ACTIVE

ai-athena

Local AI Experiments

Experiments with local models, retrieval, tool use, and privacy-aware AI assistants

The Problem

Cloud-hosted AI services raise privacy, cost, and dependency concerns. Exploring what is possible with local inference and retrieval on consumer hardware.

The Solution

Running local language models, building RAG pipelines, and experimenting with agent tool use. Focused on privacy-aware, offline-capable AI workflows.

Impact & Results

Ongoing learning track. Informing how I think about AI-assisted security tooling and local intelligence.

Tech Stack

OllamaLM StudioPythonCUDAOpen WebUIRAG

Metadata

  • Date:Apr 2026
  • Status:active
  • Phase:exploration