AI consulting in Austin for founders who build before they pitch.

Austin AI consultants who write the code they recommend

Austin has more technical founders per capita than almost anywhere we work, which changes the conversation. Nobody here needs an explanation of what a language model is. The question is narrower and better: which workflow is worth automating first, and is it cheaper to have our own engineers do it. Sometimes the answer is yes, and we will tell you when it is.

The case for bringing us in is usually capacity, not capability. Your engineers are shipping product against a roadmap, and the workflow bleeding twenty hours a week sits in ops or customer success where nobody has a sprint slot. That work still needs someone who has put an LLM system into production and knows where they fail: silent hallucination in extraction, prompt drift after a model update, and the retry logic nobody writes until the first incident.

For Austin SaaS teams the highest-payback first builds are support triage, onboarding document processing, and internal RAG search over docs and tickets. For agencies it is reporting. For real estate it is listing ops and tenant intake. Six weeks to production, with human approval in the loop until the numbers earn autonomy.

You own the repo, the prompts, and the documentation at handover, and your engineers can extend it without calling us. If you want to pressure-test the approach before spending anything, the build library on this site has runnable versions of the systems we sell, and running one this weekend tells you more than a discovery call will.