Reference
AI topics
Everything we have written, gathered by theme. Each hub links the articles, the service behind it, the case studies that prove it, and the terms worth knowing.
Where to start
- You know the model works, and it keeps breaking in production
- AI Agents, then LLMOps. Most incidents are tool and orchestration failures, not model failures, and the fix is engineering rather than prompting.
- Your answers are wrong and you think the model is at fault
- RAG and Knowledge AI. Retrieval quality sets the ceiling; no amount of prompt work rescues a system handed the wrong passages.
- You are deciding whether to build at all
- AI Strategy and Buying. It covers scoping, what a supplier should tell you, and how to shape the engagement.
- You have a programme and eight source systems
- Enterprise AI. The model is a few weeks; the integration, the sign-off and the adoption are the rest of it.
- You are hiring or outsourcing the build
- AI Engineering. What separates a demo from something that survives its second month of traffic.
- You need the vocabulary before the meeting
- Every hub carries the terms it depends on, defined plainly, at the bottom of the page.
AI Agents and Agentic Workflows
How to build AI agents that use tools, take actions, and survive production. Design, guardrails, evaluation, and human escalation.
7 articlesRAG and Knowledge AI
Retrieval-augmented generation done properly: chunking, hybrid search, reranking, citation architecture, and evaluation that measures groundedness.
2 articlesLLMOps, Evaluation, and Model Choice
Running language-model systems in production: evaluation harnesses, observability, cost control, and how teams chose between prompting, RAG, fine-tuning, and open vs proprietary models.
5 articlesEnterprise AI
Taking AI into regulated, large-organisation environments: operating models, risk and compliance, integration with ERPs and platforms, and moving from pilot to production.
8 articlesAI Engineering
The engineering craft under production AI: latency and UX, AI copilots for developers, prompt-injection defense, and the data-security questions enterprise buyers ask.
4 articlesAI Strategy and Buying an AI Partner
The buyer's side of AI: what it costs, how long it takes, how to choose a development partner, in-house vs agency vs staff augmentation, and honest comparisons of the firms you are shortlisting.
14 articles
