Architecture & Patterns
How enterprise AI systems are actually built, patterns, anti-patterns, and reference architectures observed in production.
2 outputs
Topics
The publication’s coverage areas. Each topic threads research, briefings, references, and field notes into a single line of enquiry.
RAG & Retrieval
Production retrieval-augmented generation: vector stores, hybrid search, evaluation, and the architectural choices that hold at scale.
1 output
Agents & Agentic Workflows
Where agentic systems work in production, where they stall, and what their economics actually look like in practice.
2 outputs
Evaluation & Observability
Eval frameworks, online evaluation, and observability stacks for LLM-backed systems running in real environments.
4 outputs
Operating Models
How AI changes the shape of enterprise operating models, teams, and delivery, including TOGAF-aligned frameworks.
3 outputs
Governance & Risk
Governance structures, risk controls, and lifecycle management for enterprise AI deployments.
5 outputs
Platform Choice
Microsoft, AWS, GCP, open source, vendor-independent analysis of platform decisions for enterprise AI.
0 outputs
Cost & Economics
Unit economics of enterprise AI: token cost, infrastructure cost, and total cost of ownership over time.
0 outputs
Case Studies
Named or pseudonymous deployments analysed in depth, what was built, what worked, what didn't.
4 outputs
Industry Lenses
How enterprise AI is unfolding in media, financial services, public sector, and professional services.
1 output