Nava Labs Field Notes

Nava Labs Field Notes

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How Nava Labs implements LLM guardrails: 5 tactics
Best practices for production applications
Aug 28 • Cory Trimm
8 multi-agent AI patterns for government
For public service delivery, multi-agent systems must consider privacy, records retention, accessibility, and more.
Aug 7 • Cory Trimm
3 gaps in states’ AI governance for public benefits
AI adoption is outpacing governance and evaluation. We should build a feedback loop.
Aug 6 • Kara English
Looking at local AI models: experiments with Ollama and n8n
Cost and data security are major concerns for government AI. Local language models can help address them.
Aug 3 • Cory Trimm

July 2026

How AI-generated test docs can improve safety net applications
Synthetic documents, real impact
Jul 15 • Ryan Hansz

June 2026

How might voice AI reduce administrative burden for caseworkers?
Exploring ways voice to text can support caseworkers who connect people to SNAP, Medicaid and other public benefits.
Jun 18 • Ryan Hansz
Say hello to Nava Labs Field Notes!
Join us as we show you under the hood of our experimental work as it’s in progress.
Jun 9 • Greg Jordan-Detamore
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