For the complete documentation index, see llms.txt. This page is also available as Markdown.

By AI workflow shape

Industry patterns indexed by AI workflow shape — RAG, agent, classification, generation, multimodal.

A cross-cut index. If you shop for patterns by what your AI feature does rather than by which industry you're in, this is the entry point.

Retrieval-augmented generation (RAG)

Your AI retrieves source material and synthesizes an answer with citations. Faithfulness against retrieved chunks is the core dimension.

Multi-step agents

Your AI plans, calls tools, and decides when it's done. Pre- and post-deployment agentic evaluation with deterministic span-level rules is the right shape.

Classification and detection

Your AI classifies content into categories or detects targets in inputs. Per-class precision/recall, confusion-matrix tracking, and per-segment fairness are the dimensions.

Content generation

Your AI generates user- or customer-facing copy, descriptions, summaries. Specification accuracy, brand voice, and uniqueness are the dimensions.

Conversational with policy gates

Your AI handles a multi-turn customer interaction with strict policy or pricing rules. Citation, exact-match, and continuous trace eval are the dimensions.

Multimodal (image / video / audio)

Your AI processes non-text inputs. Per-modality scorers paired with text-output judges.

Where to next

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