Applied AI that survives production
Where LLMs, RAG assistants and predictive models actually earn their place inside a product — and where they just add latency.
Applied AI · May 19, 2026 · 5 min read
Use AI where the alternative is a form
The strongest AI features replace tedium: categorising transactions, drafting a summary, answering a policy question from your own documents. Those features have obvious ground truth, so you can measure whether the model is helping.
Retrieval beats fine-tuning for most teams
A well-built RAG assistant over your knowledge base ships in weeks, updates the moment your content changes, and can cite its sources. Fine-tuning is a later optimisation, not a starting point.
Design for the wrong answer
Every AI surface we build has a visible confidence path: citations, an edit affordance, and a human fallback. That is what turns a demo into a feature people keep using.
Want this built for your business?
Wve Labs designs and builds custom apps, web platforms and applied AI products. Engagements start around $25,000.