Tools and references for teams shipping AI in production
Working code, checklists, and decision templates — built from the same reliability problems solved directly inside real production systems, not written as generic advice. Start with what's free; go deeper where it's worth paying for.
Quorel — an eval-as-MCP-server trust layer
A deterministic-first, judge-escalated scoring layer that catches fabricated citations and prompt-injection compliance before a response ships. Free to clone and run against your own agent — commercial license available for production use and Saas coming soon.
View on mleg.tech →The RAG Reference Pipeline
A tested RAG pipeline built from the nine decisions in the RAG Architecture Decision Template — structure-aware chunking, hybrid retrieval, and the same negation-aware groundedness check as Quorel. Free to clone and run against your own documents — commercial license available for production use.
View on mleg.tech →LangGraph Patterns
Real, compiled, tested LangGraph graphs for three of the five patterns in Agent Orchestration Patterns — supervisor/worker routing, a genuine human-in-the-loop pause-and-resume gate, and the same negation-aware escalation ladder as Quorel. Free to clone and run — commercial license available for production use.
View on mleg.tech →The 50-Point AI Reliability Audit
A working self-assessment checklist across eight categories — evaluation, guardrails, grounding, observability, and more — for teams that want to find their own gaps before a customer does.
The RAG Architecture Decision Template
Nine architecture decisions that determine whether a retrieval pipeline actually works — chunking, embedding, retrieval strategy, and more — each with tradeoffs and a place to record your call.
Agent Orchestration Patterns
Five multi-agent coordination patterns — supervisor/worker, sequential handoff, and more — each with a diagram, when to use it, and the specific way it tends to break in production.
The AI Observability Maturity Model
Five levels, from no visibility into what your AI actually said, to a closed loop that catches quality drift before a customer does. Find your level in one page.