Work
Selected projects spanning AI tooling, e-commerce, and autonomous systems.
Drew Garman builds AI-powered software and websites. Key projects include DBNT, an open-source Python protocol for AI feedback loops (available on PyPI), and Borussia Minerals, a live e-commerce site for premium mineral specimens.
Do Better Next Time
liveUniversal learning protocol for AI feedback loops
Challenge
AI agents repeat the same mistakes across sessions. Traditional error logging captures what failed but not why, and nothing teaches the system to improve. Success patterns are ignored entirely.
Solution
Open-source Python protocol that encodes both success and failure patterns with weighted signals (success 1.5x over failure), FSRS spaced-repetition decay for rule relevance, and pluggable adapters for any AI framework.
Result
84 tests, zero dependencies beyond click, pip-installable. FSRS decay keeps rules fresh — unused learnings fade naturally. Ships with Claude Code hooks, CLI, and plugin system. Published on PyPI.
Borussia Minerals
liveClient: Boris Dimov
Professional e-commerce for premium mineral specimens
Challenge
Needed a professional web presence for a premium mineral specimen business showcasing Arizona's Fat Jack Mine specimens.
Solution
Designed and built a clean, museum-quality e-commerce site with responsive design and contact integration.
Result
Live professional presence matching the premium nature of the product. Phase 2 in progress: Stripe payments, 360° product photography, order management.
AI Newsroom
activeVoice-driven news headlines powered by AI
Challenge
Build an automated news delivery system with natural voice synthesis and editorial curation.
Solution
AI-powered news aggregation pipeline with voice synthesis delivering headlines in the style of a seasoned anchor.
Result
Automated daily news broadcasts with AI-generated voice delivery and curated headline selection.
AI Agent Infrastructure
activeDistributed compute for autonomous AI workloads
Challenge
Build infrastructure for running AI agents across multiple machines.
Solution
Multi-node orchestration layer for local AI model serving, task routing, and autonomous execution.
Result
Private AI compute mesh running local models with cross-node coordination.
Trading Signal Engine
activeAutonomous market intelligence pipeline
Challenge
Automated system for processing market data and generating insights.
Solution
NLP-driven pipeline for sentiment scoring and signal generation from multiple data sources.
Result
Autonomous analysis pipeline with multi-factor scoring.