The operating manual for production agents.
Concepts, primitives, and implementation notes behind the Group e-media information AI stack: data substrate, runtime, evals, and operational feedback loops.
Agent Runtime
The execution layer for event-driven agents: routing, tool calls, approvals, memory, retries, traces, and deployment controls.
Workflow Evals
Evaluation suites that mutate prompts, models, retrieval policies, generated code, and node structure before promotion.
Source Graph
The owned map of systems, schemas, documents, permissions, events, and business meaning that agents use to act safely.
Data substrate
3 articlesSource Graph
The owned map of systems, schemas, documents, permissions, events, and business meaning that agents use to act safely.
Vector Search
Retrieval pipelines that combine chunking, embeddings, metadata, reranking, permissions, and evaluation.
Data Quality
Contracts, validation, lineage, freshness, and ownership for data that agents can safely use.
Agent runtime
3 articlesAgent Runtime
The execution layer for event-driven agents: routing, tool calls, approvals, memory, retries, traces, and deployment controls.
MCP Tool Registry
A governed catalog of tools, schemas, permissions, and usage policies that agents can discover and invoke.
Human Approval
Approval gates for workflows where correctness, risk, or accountability require human judgment.
Evaluation
2 articlesOperations
3 articlesModel Routing
A gateway strategy for choosing the right model per task based on privacy, cost, latency, quality, and failure mode.
Agent Observability
Trace-level visibility into model calls, retrieval, tools, decisions, approvals, costs, and failures.
Governance
The policy layer for data access, tool permissions, human approvals, audit trails, and deployment boundaries.