AI Features & Agents
AI features and agents for products that already have users
AI gets you to a demo faster than anything. We make it hold up in production: connected to your data, your existing tools, and the legacy systems nobody wants to open.
Top Rated Plus · 100% Job Success · 27,000+ hours on Upwork
Book a 20-min call Hire a developerWho this is for
- SaaS teams adding copilots, agents or automation to a live product
- Teams whose AI prototype works in the demo but breaks with real users
- CTOs watching AI tool and token costs climb faster than output
- Companies that need someone to land AI inside a messy, real organisation
What you get
Use-case check
We pick the AI features worth building and drop the ones that only look good in a demo.
LLM integration
Models wired into your existing .NET, Angular or Node product, your data and your tools.
Agents & automation
Agents and workflows that take real work off your team, with humans in the loop where it matters.
Cost under control
Usage, limits and model choice designed so speed does not come with a surprise bill.
How it works
20-minute roadmap call
Tell us what you want AI to do and where it touches your product. We outline what is realistic.
2-week fixed-scope sprint
One AI feature, built against your real data, so you see production behaviour, not a slide.
Ship and hand over
We integrate, test and document it, and make sure your team can run and explain it.
Four days to build. Six weeks to unbreak.
A founder came to us with an MVP an AI tool had put together over a weekend. Login, payments and dashboard all worked, and investors were interested. Then two users upgraded their plan at the same time and the payment flow broke. We rebuilt the backend in six weeks. The idea was fine. Nobody had checked what the fast version was standing on before real users touched it.
Questions founders ask
Do you build with AI tools yourselves?
Yes. Our engineers use AI to move faster, and we structure usage so your delivery does not depend on one tool keeping its pricing or limits.
Can you add AI to an older .NET system?
Yes. Most of our AI work lands inside existing products, including legacy .NET and Azure systems.
What happens after the feature ships?
We connect it to your existing tools, document it, and make sure your team knows how to run and explain it.
Where do we start?
A 20-minute call, then a 2-week fixed-scope sprint on one feature.
Book a 20-minute roadmap call
Bring your MVP, AI initiative or engineering challenge. In 20 minutes we'll find the main bottleneck and outline practical next steps. No sales presentation.
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