Build with OpenAI.
The default LLM provider when you need the best general-purpose model.
Most teams asking about OpenAI have already decided it's the right tool — they're trying to figure out who can actually ship it. We build with OpenAI every week, on real production systems, and we treat it as part of a stack, not a religion. The default LLM provider when you need the best general-purpose model.
That means we won't talk you into OpenAI for a project that doesn't need it. If the work is better served by Anthropic Claude, we'll say so in the scoping call and quote that instead. The goal is software that earns its keep — the stack is downstream of that.
When OpenAI IS the right call, we pair it with the rest of a modern, boring, productive stack: Vercel AI SDK, Lovable AI Gateway, Postgres + pgvector, TypeScript. Fixed scope. Working software every Friday. Live in 8–14 weeks. You own the code and the roadmap from day one.
- Fixed scope and fixed price after week 1
- Working demo every Friday
- Live in 8–14 weeks
- You own code, data, and infrastructure
- 60 days of post-launch support included
- Best-in-class general reasoning and tool-use across GPT-5.x models.
- Structured outputs and function calling are reliable enough to depend on in production.
- Mature SDKs in every language, plus the Responses API for agent-style workflows.
- Predictable pricing tiers — easy to model unit economics before launch.
- Customer-facing chat and agents that need reasoning across messy input
- Document extraction with structured outputs
- Voice and multimodal workflows where the OpenAI Realtime API earns its keep
What OpenAI pairs with in our builds.
Everything in the build.
- A production OpenAI application built to your spec — not a configured template
- Typed, tested code your team can extend without us
- CI/CD pipeline, staging + production environments, and observability wired in
- Role-based access, auth, and the integrations your product needs on day one
- Mobile-ready UI for the surfaces that need it
- Migration from any existing system or codebase you're replacing
- Full source code, infrastructure config, and admin handoff
- 60 days of post-launch support, tuning, and minor enhancements
OpenAI isn't always the right call.
Use Anthropic Claude instead
The work is long-context reasoning, code, or tasks where Claude's tone fits better.
Use Google Gemini instead
You need multimodal + huge context windows, or you're already on GCP.
"How do we know you're actually good at OpenAI?"+
Discovery and strategy is always free — we run a fixed-price scoping session that ends with a written scope, wireframes, and a quote whether or not you move forward. If you want references from OpenAI projects specifically, ask in the call and we'll send them.
"What if OpenAI is the wrong choice for our product?"+
Then we'll say so. We're a build shop, not a OpenAI consultancy — picking the wrong tool for a 14-week build is bad for everyone. For the work is long-context reasoning, code, or tasks where claude's tone fits better, we'd suggest Anthropic Claude instead.
"Will we get locked into your code patterns?"+
No. We write OpenAI the way the wider community writes OpenAI — boring, conventional, well-documented. Any senior OpenAI engineer should be able to read the codebase in a day and ship a feature in a week.
Aren't we locked into OpenAI?+
No — we route LLM calls through an abstraction (Vercel AI SDK or Lovable AI Gateway) so swapping providers is a config change, not a rewrite.
How do we keep costs under control?+
Smallest-capable-model routing, prompt caching, structured outputs, and per-feature cost logging. We'd rather find the cost issue in week 2 than month 6.
Ready to build with OpenAI?
Discovery is fixed-price and yours to keep either way — written scope, wireframes, and a fixed quote.
Book a Scoping Call