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Jeff Schneider

demoed 002
Salt Air, an internal agent harness that standardizes how his team writes code with AI: enforced production phases, automated tests at every step, and every deploy landing in the company's own Azure account so nothing lives on one developer's laptop. The full automated run is about ten phases and six to eight hours. He also showed a hospital benchmarking tool that pulls public US Census data to benchmark nearby rural hospitals for prospecting.

In the recordings

Session 002 (Friday, July 24, 2026): presented: Jeff Schneider: Salt Air at 8:01

Stack card

What it doesKeeps AI-written code company-owned, tested, and deployed the same way every time; benchmarks rural hospitals from public data
Models / AIClaude Code, with the rules living in markdown files the agent must follow
StackSalt Air (markdown rules plus phased testing), Azure deployment, US Census API
Storage / sourcePending approval of past house guest
Cost to runPending approval of past house guest
What they shareThe markdown files for the deployment and check-in rules (promised at Session 002)

Drafted by the host from the session notes and recording, so fix anything that is off using the button below. A row that reads "Pending approval of past house guest" is one you have not filled in yet.

Yours to keep

Pending approval of past house guest. Promised at Session 002: the markdown rules behind Salt Air. They land here the moment Jeff approves them.

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