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The Expertise Bottleneck: Why Only Some People Can Explain an AI Failure
Ask around any team running a consequential agent in production long enough, and a pattern shows up.
Sep 2
•
Jamal Jackson
August 2026
From Observability to Behavioral Intelligence
Observability made execution queryable. Behavior lives in a population of decisions, and production tooling has no standard way to hold one.
Aug 25
•
Jamal Jackson
1
1
Accountability in Autonomous Systems: Who Owns the Decision?
Everyone is assigning owners for AI decisions. Almost no one can hand the owner a decision to own.
Aug 11
•
Jamal Jackson
1
July 2026
The Economics of Reasoning: What a Bad AI Decision Actually Costs
The tokens a wrong decision burns are the cheapest part of it, and close to the only part that lands anywhere you can see.
Jul 28
•
Jamal Jackson
The Anatomy of a Silent Failure
A failure that never trips an alert still has a shape. Here is what it looks like, stage by stage, from the decision that caused it to the moment…
Jul 14
•
Jamal Jackson
2
June 2026
Why Systems Pass Every Eval and Still Fail in Production
An eval grades the output. Production grades the decision. Those are different measurements, and the gap between them is where shipped systems break.
Jun 30
•
Jamal Jackson
Decisions, Not Execution: The Layer Observability Misses
A trace shows the one tool that got called. The decision is in the three that didn't.
Jun 16
•
Jamal Jackson
1
1
April 2026
We Built AI Observability. It Still Doesn’t Tell Us Why Systems Fail
A deeper look at the gap between observing AI systems and actually understanding their decisions
Apr 11
•
Jamal Jackson
1
January 2026
Understanding Production AI Behavior: Failure Modes Beyond Logs and Metrics
A systems-level look at where AI behavior diverges from intent in real-world deployments
Jan 20
•
Jamal Jackson
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