Building 7 Production AI Agents for Healthcare Billing in 4 Months
alex_verem · x · 2026-07-23
Shares engineering insights on building production-grade AI agents for a healthcare billing platform. Under strict HIPAA constraints, the team built 7 production agents in 4 months, replacing manual rule-writing processes with zero PHI (Protected Health Information) exposure.
The author emphasizes that deploying AI in high-stakes production environments isn't about picking models. The real challenge lies in data mapping and structuring: figuring out where the data is, what is missing, and how to structure it so agents can reason correctly. Many teams skip this step and bolt an LLM onto their product, which can lead to severe consequences.
Related event: Medical Billing Team Ships 7 Production AI Agents(2 posts)→
More from coding & agent
- Gergely Orosz: Shipping 10x PRs With AI Agents, Sites Fill With Small Regressions — ducha_aiki · 2026-09-11
- Same Echo Maze prompt, three frontier models: all passed visually but shipped the same hidden bug — eyishazyer · 2026-09-11
- Astra storyboards plus Minimax H3 per-shot generation boost video success rates — Hailuo_AI · 2026-09-11
- Codex tip: use Sol with Astra and Luna sub-agents to save usage — pvncher · 2026-09-11
- agents-best-practices: a provider-neutral Agent Skill for designing and auditing agentic harnesses — tom_doerr · 2026-09-11
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11