AI Product Development · Austin
AI Product Development
in Austin
LLM features that actually ship to users.
We ship AI features for founders in Austin — 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.
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 Austin
The local math
Austin's VC deal count nearly matched the Bay Area in Q4 2025. The catch: senior engineers know it, and they're charging accordingly. Indeed pays $290K. Tesla pays $310K plus stock. You're not going to outbid them at seed stage. Different play: one named senior engineer plus AI agents, two-week first deploy, flat price quoted after a 30-minute call.
Year-one outlay for a single senior hire in Austin: ~$310K. Our ai product development engagement starts at $8,000.
Stack
What we use for ai product development
Why us
Why founders in Austin 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 Austin
How fast can you start?
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Is the price really flat?
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Which AI provider do you use?
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How do you handle hallucinations?
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Who owns the code?
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AI Product Development elsewhere
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Ready to ship ai product development in Austin?
30-minute call → flat-price quote in 24 hours → first deploy inside two weeks.