Web & App Development for AI-Native Startups
Building a product around LLMs or AI agents brings its own production questions — cost control, latency, and reliability when the model is wrong.
AI-native products — those built around an LLM, an AI agent, or a generative feature as the core value — have production concerns that don't show up in a typical CRUD app: unpredictable per-request costs, latency from model calls, and the need to handle model output that's wrong, incomplete, or unexpected gracefully.
We work with AI-native startups on fixed-price engagements that address these specifically — from architecture reviews focused on cost and latency, to building the guardrails and fallback handling that keep a product usable when the model doesn't behave as expected.
What We Bring
- Architecture reviews focused on LLM cost, latency, and rate-limit handling
- Guardrails and fallback handling for unreliable or unexpected model output
- Caching and streaming patterns to make AI features feel responsive
- Experience integrating common AI providers and SDKs into production apps
- Fixed-price scoping for both new AI features and hardening existing ones
How We Work
- A short call to understand your AI feature and where it currently struggles
- A fixed-price quote scoped to the specific review or build
- Regular preview deploys so you can test behavior as we build
- Code delivered to your repository throughout
- A handover with documentation on the AI integration's behavior and limits
Frequently Asked Questions
Our AI feature works in testing but feels slow or expensive in production — can you help?
Yes — this is one of the most common gaps we see. Often it's addressed with caching, streaming responses, or smarter prompt/model selection, which we can review and implement.
What happens when the AI gives a wrong or unexpected answer?
A production AI feature needs explicit handling for this — validation of model output, fallback behavior, and clear UX when the model can't help. We build this in rather than assuming the model is always right.
Do you build AI features from scratch, or only review existing ones?
Both — we can build a new AI-powered feature, or review and harden one that already exists, depending on where your product is.
Other Stages We Work With
Idea-Stage Startups
Get something real in front of people — a landing page, a waitlist, or a clickable prototype — before committing to a full build.
Learn moreMVP Development
A focused first version of your product, scoped around the one thing it needs to prove — fixed price, realistic timeline.
Learn morePre-Seed Startups
Get an investor-ready demo in front of the people who matter — without burning your pre-seed budget on a long build.
Learn moreTell us where you're at — we'll scope from there.
Whatever stage you're at, tell us what you're building and what you need next — we'll come back with a fixed price and a realistic timeline.
Get in Touch