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AI product features and integration
Add AI to your product — generation, search, summaries and more. We build AI features into web and mobile products: content generation, smart search, recommendations and document understanding.
AI Product Features: what it is and why it matters
AI features can make a product dramatically more useful: generating content, summarising documents, answering questions, recommending next steps or turning unstructured information into structured data. The challenge is making them reliable, affordable and genuinely helpful.
We design AI features around a specific user task, then choose the right models, retrieval approach and safeguards. Foliobeam, which turns a résumé into a tailored portfolio website, is an example of an AI-first product we have built.
Behind every feature we put the controls that matter in production: evaluation tests for quality, cost limits, logging, fallbacks when a model is unavailable, and clear handling of user data.
How long does it take?
A focused AI feature can often be prototyped in three to four weeks and launched within eight to twelve.
Signs it’s the right time
If any of these sound familiar, AI Product Features could quickly pay for itself.
Best suited to: SaaS products adding AI · Platforms with lots of content · Start-ups building AI-first products
Users spend time on repetitive writing, searching or data entry in your product
Competitors are adding AI features
You hold lots of content or data that is hard to search
You have an idea for an AI-first product
How we deliver AI Product Features
A clear, collaborative process with something tangible to review at every step.
Identify
Find the tasks where AI adds clear value and define what a good result looks like.
Prototype
Quickly test models and prompts against real examples.
Engineer
Build retrieval, guardrails, cost controls and a smooth user experience.
Evaluate
Measure quality before and after launch, and improve continuously.
Questions to ask before you hire
Whoever you choose for AI Product Features, these questions will help you compare suppliers.
How do they measure AI quality?
Ask about evaluation sets and testing, not just demos.
How are costs controlled?
AI usage costs can grow quickly without limits and caching.
What happens with user data?
Understand which providers process data and where.
Are they tied to one model provider?
Flexibility protects you as the market changes.
Which AI models do you use?
We choose per task, using leading providers such as Anthropic and OpenAI, and open models where they fit better.
Will AI features be expensive to run?
We design for cost from the start with caching, model selection and usage limits.
Can AI use our own data?
Yes, through retrieval techniques that let models answer from your content without retraining them.
How do you stop AI making things up?
By grounding answers in trusted sources, testing thoroughly and designing the interface to show sources and limitations.
Do we own the work?
Yes. You own the code, designs and content we create for you.
Have a product idea? Let’s build it.
Whether you have a clear vision or just a problem you need to solve, we’re here to help you build it.