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#LLM
Cost optimisation in AI projects: managing API and infrastructure spend
If the budget line is not drawn while the architecture is being designed, token spend gets away from you in production.
11 August 2026
Decisions from measurement, not instinct: how do you measure LLM success?
Any line of code written before the success criteria and test cases exist is a line written too early.
11 August 2026
Choosing the right architecture for enterprise data: fine-tuning or RAG?
The cost and flexibility gap between locking data into a model's parameters and fetching it on demand.
11 August 2026
From prototype to production: why LLM projects stall on the way
What keeps an impressive demo from going live is rarely technical — it is a split between two teams.
11 August 2026