Cost Controls for Multi-Model AI Products
Simple controls for model routing, token budgets, and caching that protect margin as usage scales.
Production notes on AI systems, WordPress infrastructure, and SuperControl websites. No fluff, just signal.
Simple controls for model routing, token budgets, and caching that protect margin as usage scales.
A layered testing approach that keeps AI-generated code fast to ship and safe to run.
The telemetry stack you need to debug agent behaviour, tool calls, and regression risks in production.
Treat prompts as production artefacts with versioning, tests, rollback, and ownership.
A review model that uses AI for speed and humans for judgment, security, and architectural quality.
What companies now expect from AI-assisted engineers, and how teams can hire for production impact.
How to evaluate AI coding tools by reliability, cost, governance, and developer experience.
A practical workflow for using Claude in real engineering teams, from task shaping to safe rollout.
In the ever-evolving landscape of artificial intelligence, AI engineering design patterns have emerged as essential tools for developers designing rob...
In the rapidly evolving world of artificial intelligence, engineering teams are constantly challenged to keep pace with the latest advancements. Under...
In the rapidly evolving landscape of artificial intelligence, understanding advanced AI system patterns is crucial for developing robust, scalable, an...
Selecting the right AI model is a critical step in developing intelligent systems, but it often presents a significant cost challenge. With the rapid...
Tell us what is actually broken. We will suggest the smallest sensible next step.
Nought Digital is happy working with ambitious agencies, SaaS teams, ecommerce businesses, and local operators — especially when the work improves real operations rather than adding noise.