Case studies

Systems, taken apart.

Not screenshots — the real engineering. Each write-up walks the architecture, the decisions that mattered, and the trade-offs, with links to the live app and its source.

Flagship

DBWhisper

A natural-language-to-SQL agent that reads your database safely — schema-aware retrieval, a fail-closed read-only validator, and multi-provider LLM fallback.

writes to your data, ever

Method: Fail-closed read-only validator gates every query before execution; the query is rejected if it references a table outside the enrolled schema, or if no schema index exists.

LLM providers behind one fallback

Method: OpenAI → OpenRouter → DeepSeek → Groq → Anthropic → Gemini; the first with credentials wins, Gemini's free tier is the final fallback.

SQL dialects supported

Method: Postgres, MySQL, and SQL Server via SQLAlchemy 2.0 + ODBC, with per-dialect generation directives.

Read the full write-up

production
TradePulse
An honest quant backtesting platform — a look-ahead-free event-driven engine, costs modeled by default, and a grounded NL→strategy AI copilot.
structural look-ahead safety
Method: performance & cost
production
CrownWager
+EV sports-betting analytics — a validated XGBoost model turned into fair-odds edge, Kelly staking, an arbitrage finder, and a graded model track-record.
65.2% ± 0.8% model accuracy
Method: performance & cost
production
LLM Studio
A multi-user, ChatGPT-style AI platform — per-user tenancy, token streaming, multi-LLM routing, and daily quotas, Dockerized and CI'd.
per-user tenancy isolation
Method: performance & cost

DBWhisper

Other systems

TradePulse

CrownWager

LLM Studio