Stack · AI

Build with Anthropic Claude.

The frontier model we reach for on long-context, code, and serious reasoning.

4.9/5 · 200+ products shipped
90-day MVP guarantee
How we use Anthropic Claude

Most teams asking about Anthropic Claude have already decided it's the right tool — they're trying to figure out who can actually ship it. We build with Anthropic Claude every week, on real production systems, and we treat it as part of a stack, not a religion. The frontier model we reach for on long-context, code, and serious reasoning.

That means we won't talk you into Anthropic Claude for a project that doesn't need it. If the work is better served by OpenAI GPT-5, 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 Anthropic Claude 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.

The offer
  • 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
Book a Scoping Call
Why we reach for Anthropic Claude
  • Best-in-class code generation and refactoring — it earns its keep on engineering-adjacent workflows.
  • Long context windows handle entire contracts, codebases, or transcripts without RAG gymnastics.
  • Tone and safety defaults are well-suited to customer-facing surfaces.
  • Tool use and computer use APIs unlock agent workflows that were impractical a year ago.
What we build with it
  • Document extraction and review (contracts, claims, medical notes)
  • Coding agents and developer tooling
  • Multi-step workflows where the model has to call tools and decide next steps
The stack around Anthropic Claude

What Anthropic Claude pairs with in our builds.

Vercel AI SDKLovable AI GatewayPostgres + pgvectorTypeScript
What you'll ship

Everything in the build.

  • A production Anthropic Claude 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
When we'd suggest something else

Anthropic Claude isn't always the right call.

Use OpenAI GPT-5 instead

You want the broadest general-purpose model and the deepest ecosystem of SDKs.

Use Open-source via Together / Groq instead

You're cost-sensitive and the workload is simple enough for an OSS model to handle.

What founders ask us about Anthropic Claude
"How do we know you're actually good at Anthropic Claude?"+

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 Anthropic Claude projects specifically, ask in the call and we'll send them.

"What if Anthropic Claude is the wrong choice for our product?"+

Then we'll say so. We're a build shop, not a Anthropic Claude consultancy — picking the wrong tool for a 14-week build is bad for everyone. For you want the broadest general-purpose model and the deepest ecosystem of sdks, we'd suggest OpenAI GPT-5 instead.

"Will we get locked into your code patterns?"+

No. We write Anthropic Claude the way the wider community writes Anthropic Claude — boring, conventional, well-documented. Any senior Anthropic Claude engineer should be able to read the codebase in a day and ship a feature in a week.

Claude or GPT?+

Both, usually. Claude for long-context and code-shaped work, GPT for general assistant and multimodal. We route per-feature, not per-vendor.

Is the context window really 200k tokens useful?+

Yes — but only if you also build retrieval and summarization. Stuffing a 200k-token prompt every call is slow and expensive; we use it for the cases where it materially beats RAG.

Ready to build with Anthropic Claude?

Discovery is fixed-price and yours to keep either way — written scope, wireframes, and a fixed quote.

Book a Scoping Call
Pairs well with