I'm Asad, an AI engineer who designs and builds agents, LLM products and full software for clients, made to hold up with real users, not just in a pitch.
A demo works on the three examples you tried. Real users bring messy inputs, edge cases and expectations. That gap is where most projects die.
Retrieval, permissions and evaluation matter more than which model you pick. Get the data layer right and the model becomes the easy part.
Costs, latency and accuracy drift after go-live. Someone needs to measure, fix and improve it. I build that in from day one.
Fixed scope, clear timeline, one engineer accountable from start to finish.
See all services →Agents that take real work off your team: triaging tickets, qualifying leads, running multi-step workflows across the tools you already use.
From idea to a working AI product your users can try: chat over your documents, AI features inside your app, or a full MVP for investors.
Full-stack web and mobile products built end to end: backend, frontend, auth, payments and deployment, with AI where it earns its place.
A gamified habit tracker for kids.
Parents choose the habits, kids complete them and earn XP, and that XP grows a virtual pet that mirrors how consistent they've been. Built from idea to Play Store, end to end.
A free 20-minute call to understand the problem and whether AI is the right answer.
A written plan with fixed scope, milestones, timeline and price before any code.
Weekly demos and progress updates, so you see the product take shape.
Deployment, handover docs and support while it settles in with real users.
Tell me what you're trying to build. In 20 minutes you'll know if it's doable, roughly what it costs and how I'd approach it.