things nobody tells you about running AI agents in production:
your logs contain secrets you forgot were there
stack traces are 10x longer than the useful part
JSON responses have 80% of fields the agent never needs
all of it goes to the model anyway
This is the problem xcontext is built to solve.
Every piece of context your agents consume, inspected, redacted, and compressed before it reaches the model.
No secrets in the prompt. Less noise. Full record of what the model actually saw.
https://t.co/3k6WpS79ZX
Most AI agent failures are not model failures.
They are context failures.
Wrong input. Noisy input. Sensitive data that should never have reached the model.
The model did exactly what it was asked. The context was the problem.
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