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AI Product Development · Seattle

AI Product Development
in Seattle

LLM features that actually ship to users.

We ship AI features for founders in Seattle — chat interfaces, RAG over your data, agents that do work, evaluations that tell you when the model is broken. Production-ready LLM apps, not demos. We use Vercel AI SDK, AI Gateway for model routing, and the eval tools that work in 2026.

from $8,0002–5 weeksFlat-price, your code
Get a AI Product Development quoteBack to Seattle overview

What you get

Concretely, by the time we hand over

  • Streaming chat or agent UI with proper UX (interrupt, retry, citations)
  • RAG pipeline over your data — chunking, embeddings, hybrid search, citations
  • Provider routing via Vercel AI Gateway — Anthropic primary, OpenAI/Gemini fallback
  • Evals: a real test set, a deterministic CI check that catches model regressions
  • Observability: tool-call traces, token spend, latency per provider

Why this works for Seattle

The local math

Seattle is the best post-Big-Tech founder market in 2026. Half your engineering pipeline either still works at Amazon or just left. Hiring takes 80+ days because you're bidding against AWS comp — typically $310K base plus RSUs that vest over four years. We work outside that ladder. Flat price, two-week first deploy.

Year-one outlay for a single senior hire in Seattle: ~$310K. Our ai product development engagement starts at $8,000.

Stack

What we use for ai product development

Vercel AI SDKAI GatewayAnthropic / OpenAI / GeminiPostgres + pgvectorInngest / Workflow DevKit

Why us

Why founders in Seattle pick us for this

  • 01

    We ship LLM features weekly — eval-first workflow, not 'ship and hope'

  • 02

    Model-routing day one so you're not locked to one provider's pricing or outages

  • 03

    RAG done with hybrid search + reranking, not naive embedding cosine similarity

  • 04

    Cost-aware: caching, model tiering (Haiku/Sonnet/Opus), budget alerts wired in

FAQ

Common questions about ai product development in Seattle

How fast can you start?

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Most builds begin within seven days of the first call. We don't sell discovery — we go from problem statement to first deploy on the same day-one timeline.

Is the price really flat?

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Yes. After a 30-minute call we send a single number and a scope you can accept or reject. No hourly billing, no change-order games. If we underestimate, we eat it.

Which AI provider do you use?

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Default to Anthropic Claude (Sonnet for most cases, Haiku for cost-sensitive paths, Opus for the hard ones). All routed via Vercel AI Gateway so you can switch providers without code changes.

How do you handle hallucinations?

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Evals on a held-out test set in CI, citation-required prompts where factuality matters, structured outputs (JSON schema) where the answer must be machine-parsable. Where users see free-form responses, we add 'why this answer' citations to the underlying data.

Who owns the code?

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You do, from commit one. The repository is created in your GitHub org. Infrastructure is provisioned in your cloud account. We don't host your stack on ours and we don't lock you in.
More questions → /faq/ai · /faq/tech · /faq/cost

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Ready to ship ai product development in Seattle?

30-minute call → flat-price quote in 24 hours → first deploy inside two weeks.

Start the callSee Seattle overview