Real-World Mini Projects

A RAG bot that cites its sources and knows when it's citing something dangerously out of date — because the naive version of this project already caused one incident.

A policy violation slipped through a 200-invoice month-end pile because a human reviewer missed it. Extraction, policy cross-checking, vision for scanned documents, and an Embabel workflow that knows when to ask for help instead of guessing.

A support bot that survives its first real customer: hard tenant isolation at retrieval, plus per-tenant cost tracking before usage bankrupts the free tier.

An MCP client that reads and comments on pull requests, flags risky diffs, and suggests reviewers — with merge, close, and push kept behind human approval.

An Embabel agent running typed fraud checks that plans a path to auto-clear or human escalation, logging every step for audit.

A research, draft, fact-check, and publish pipeline built on LangChain4j AgenticServices workflows — a scheduled batch job, not another chat interface.

Natural-language-to-SQL with real guardrails: a read-only connection, row limits, a column denylist, and defense against injected warehouse data.

RAG scoped by role, department, and region, plus an output-validation pass, since retrieval filtering alone cannot catch a leaked detail from earlier.

Tool calls pull an incident timeline, an agent drafts a structured postmortem, and a custom LLM-as-judge rubric scores it before a human editor sees it.

A circuit breaker trips on provider outage and fails over to a LangChain4j-backed alternate model, proven under a real failure, not a side-by-side sample.

Four agents take an SRS to a reviewed pull request: parallel dev and test agents from one refined spec, a review loop that reworks code until it passes.