Adding AI Features to Your Product: A Practical Guide

The best AI features solve a concrete problem your users already have — they don't exist to put "AI" on a feature list. Good candidates automate tedious work, summarise or search large amounts of content, or assist a user mid-task. We build practical AI tools and features into real product workflows.

Where does AI actually help?

AI earns its place when it removes friction from a real task: drafting, summarising, classifying, searching unstructured content, or guiding a user through a complex flow. If a feature would still be useful without the word "AI," it's probably worth building.

• Assistants that help users complete a task faster.
• Automation of repetitive, rules-light work.
• Search and summarisation over documents or data.
• Smart defaults and suggestions inside existing flows.

Where does AI not help?

AI is the wrong tool when the task needs guaranteed-correct output, when a simple rule would do, or when it adds cost and latency without improving the experience. Bolting a chatbot onto a product that doesn't need one is the most common mistake.

How do you ship AI features well?

Start narrow, measure whether the feature actually helps, and design for the cases where the model gets it wrong. The engineering around an AI feature — fallbacks, guardrails, and clear UX — matters more than the model itself.

Have a workflow you think AI could improve? Describe it on our contact questionnaire and we'll tell you honestly whether it's worth building.