Insights
Product, design, AI, and engineering perspectives from our team.
Costs & budgeting6 Aug 2026
LLM Cost Optimisation: Cutting Spend Without Cutting Quality
Cutting LLM spend doesn't have to mean cutting quality. This guide covers the practical engineering levers — model tiering, prompt caching, batching, prompt budgets, and observability — with a worked example showing how they compound.
8 min readChris Kerr
AI in production25 June 2026
Context Engineering for LLM Apps: Beyond Prompt Templates
Prompt templates are where LLM applications start. Context engineering is what makes them work reliably in production. This article covers the four core levers — retrieval, compression, memory, and ordering — and how to build a context pipeline that produces consistent, cost-efficient model behaviour at scale.
9 min readChris Kerr