Quellix Insights / Guides
Five AI build guides. Decide before you build.
One permanent guide per kind of AI system we build. Each covers the problem, how to decide (including when not to build), a reference architecture, common failure modes, cost and effort drivers, and every related field note.
- AI Agents & Orchestration
AI agents and orchestration. Built to stop at the right step.
When to build an AI agent, when not to, the reference architecture for tool use, durable state and approval gates, failure modes, and cost drivers.
19 related articles - Enterprise Knowledge & RAG
Enterprise knowledge and RAG. Answers your team can verify.
How to decide on enterprise RAG, a permission-aware reference architecture, retrieval and citation failure modes, and what drives cost and effort.
8 related articles - Document Intelligence
Document intelligence. Fields your team can check.
When to build AI document extraction, a schema-first reference architecture, validation and review failure modes, and what drives cost and effort.
5 related articles - AI Governance & Evaluation
AI governance and evaluation. Controls that ship with the system.
How to govern and evaluate production AI: when controls are needed, a reference control plane, reliability failure modes, model adoption, and cost drivers.
9 related articles - Predictive Analytics & Recommendations
Predictive analytics and recommendations. Signals tied to a decision.
When to build forecasting, scoring or recommendations, a decision-first reference architecture, evaluation failure modes, and cost and effort drivers.
7 related articles