HeyJaredAI & The Oath
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- Indexed issues, last 90 days
- 5
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- Sep 14, 2026
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- Jul 7, 2026
Latest issues
Tokenmaxxing: When More AI Becomes Less Defensible (opens the original)
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There’s a term surfacing in enterprise AI circles this month: tokenmaxxing. It describes a specific failure pattern, adding more context, more reasoning steps, more agents, more model horsepower, when the added complexity doesn’t produce added value. The critique, coming out of enterprise AI infrastructure conversations, is straightforward: more AI can mean more cost, more inconsistency, and more operational risk, not more reliability.It’s a useful term. Healthcare should take it and go one step
DISTILLED INTELLIGENCE IS COMING TO HEALTHCARE. WILL ACCOUNTABILITY COME WITH IT? (opens the original)
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Frontier AI is becoming smaller, cheaper, faster, and embedded in operational workflows.That is the opportunity.And it is the clinical governance problem.AI will make airlines run more efficiently.It will help recover schedules after weather disruptions. Predict maintenance needs. Optimize gates and aircraft turns. Rebook passengers at speed.Healthcare leaders hear the parallel promise:Less administrative burden.Faster triage.Better documentation.Fewer dropped handoffs.Earlier detection of patie
A Season Ends the Way It's Supposed To (opens the original)
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Have you ever had to let go of something you thought would be part of your life forever?I think one of the hardest things about life is realizing that some things we love were only ours for a season. People, places, even roles we thought we’d have forever.And sometimes there isn’t a big ending. Sometimes you just wake up one day and realize something has changed. A door has closed. Someone has grown distant. A role that once defined you doesn’t fit the same way anymore.And there is grief in that
When the AI Model Didn’t Break, the Lab Did (opens the original)
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Here’s a scenario every health system procurement team, clinical risk manager, and hospital board member should sit with.A hospital system builds an AI model to predict which patients are at risk of hospitalization. Trained on real data. Validated against outcomes. Deployed to help nurses prioritize proactive outreach before patients end up in the ER.It works. For years, it works.Then, quietly, it doesn’t. And nobody did anything wrong.This is not a hypothetical. It’s a documented case, and it’s
Clinical AI Governance in North Carolina Healthcare (opens the original)
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A Framework for Patient Protection, Insurance Alignment, and Regulatory LeadershipBy Michael Tekely, AAI Founder, Malpractice Insurance & Clinical Risk Management Academy, LLC Developer, CARAF — Clinical AI Reasoning & Accountability FrameworkThe Problem North Carolina Faces Right NowArtificial intelligence is actively deployed in clinical workflows across North Carolina, in hospitals, physician practices, radiology centers, and emergency departments. It is being used to support diagnosis, treat
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