What to look for in AI developers
The field moves fast and titles are inflated. The signal that matters isn't how many model names someone can list — it's whether they've taken an AI feature all the way to real users and kept it working. Ask to see something in production, not just a notebook.
Strong AI developers think about evaluation, cost, latency, failure modes, and privacy from the start, because those are what break AI products after launch. A red flag is anyone who promises accuracy guarantees.
- Shipped AI features real users depend on, not just prototypes
- Comfort with evaluation: how do they measure whether the AI is actually right?
- Real software engineering — APIs, testing, monitoring, security — not just prompting
- Clear thinking about cost per request, latency, and data privacy
- Honesty about limitations and when NOT to use AI at all
Agency team vs. hiring in-house
A full-time AI team is the right call when AI is core to your product and you'll iterate on it for years. But it's slow and expensive to assemble, and a single hire rarely covers the full stack — modeling, backend, frontend, and infrastructure.
An agency team is a faster way to get a working feature live, validate the idea, and hand off a maintainable codebase. Many clients use us to build and prove the first version, then decide whether to staff up internally.
- In-house: best for long-term core AI work; higher fixed cost, slower to assemble
- Agency: faster start, a whole team's skills at once, no long-term headcount commitment
- We build to hand off — documented, tested code you or a future hire can own
- Flexible scope: one feature, a full product, or ongoing support
- Nationwide and remote, so you're not limited to local talent
How we work and what drives cost
Every engagement starts with a free consultation where we pin down the real problem, the data available, and what 'done' looks like. Cost is driven by scope and complexity — a single embedded feature is very different from a multi-model platform.
We give you a clear scope and estimate before any build starts, so you can compare it honestly against the cost of hiring.
- Cost drivers: feature complexity, data readiness, integrations, and ongoing maintenance
- Fixed-scope projects or ongoing support arrangements
- You keep the code and the accounts — no lock-in
- Free consultation to scope the work before you commit
More on ai development
Frequently asked questions
Do you replace our engineering team or work with it?
Either way. We can build a feature end to end, or embed alongside your existing developers and cover just the AI parts. Many teams use us for the specialized AI work while their own engineers handle the rest of the product.
What if we want to hire in-house later?
That's a common and healthy path. We build documented, standard code specifically so an in-house hire can take it over, and we're happy to help onboard them rather than making ourselves indispensable.
How do we know you're any good without a big-name client list?
Ask us to walk you through how we'd approach your specific problem, including where the risks and limits are. A straight answer about trade-offs tells you more than a logo wall — and the free consultation is meant for exactly that.