AI-native products
A new app or SaaS where AI is the core of what it does, built from an idea, a spec, or a rough sketch of the problem.
AI Build
Building the next thing with AI? We build it with you.
For founders and teams building a new AI-native product, feature, or internal tool — not automating what already exists, building what doesn't exist yet. We build using Cursor Ultra as our development engine, the same AI-assisted workflow behind our own delivery.
What this covers
New AI-native builds, not a bolted-on chatbot.
If the product's value depends on AI doing something real — not a widget for the pitch deck — this is the offer.
AI features on an existing product
Chat, generation, retrieval, or an embedded agent added to something you already run — scoped so it earns its place, not bolted on for the demo.
Internal AI tools
Ops copilots, internal agents, automation-as-a-product for your own team. Adjacent to the automation rail, but built as a real tool, not a workflow.
Prototyping & validation
Fast build to test if the AI idea actually works before you over-invest. Sometimes the honest answer is "don't build this yet".
How we build
Brief. Scope the AI piece. Build. Ship and iterate.
Same discipline as the mobile build offer — scoped before it starts, not billed by the hour into the void.
Brief
You describe the product or feature and the problem it solves. We push back where the AI part is doing less than it sounds like on paper.
Scope the AI piece
What's realistic with current models, what's genuinely hard, what's actually a simpler feature wearing an AI costume. Agreed before anything is built.
Build
AI-assisted development end to end using Cursor Ultra, with regular checkpoints so you see it taking shape, not a reveal on launch day.
Ship & iterate
Launch, then tune based on how it's actually used — model choice, prompts, and UX all move once real usage shows up.
No hype
We'll tell you when AI isn't the answer.
Not every product idea needs an agent, and not every feature needs a model call. If a simpler, cheaper, more reliable feature solves the actual problem, that's what we'll build — and say so plainly.
When AI genuinely is the right tool, we build it properly: the right model for the job, real error handling for when it's wrong, and a UX that doesn't fall apart the moment the model does something unexpected.
Next
Tell us what you're building. We'll tell you what's real.
If you're trying to automate something you already run, rather than build something new, that's the other AI offer.