Cedric Howard

Cedric Howard

Founder & CEO
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About

As an executive leader with over 30 years of experience in higher education administration, I have a proven track record of driving strategic growth and operational excellence across diverse business units. As founder of Howard Executive Consulting and 3 CAT Enterprises LLC, I manage operations for book publishing, executive coaching, leadership development, financial literacy education, and social media industrie

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13h ago

How do you break AI agents out of endless fix-and-break debugging loops?

We ve all been there: an agent makes a mistake, you paste the error, it "fixes" it, introduces a new error, and 5 turns later it reintroduces the original bug you started with. It gets trapped in a cycle of surface-level trial and error instead of stepping back to analyze the root cause.

It feels like the model loses critical reasoning capacity once the context turns into a wall of error logs.

What s your hard rule for stopping an agent mid loop? Do you wipe the chat context drop to a lower tier model, or force a specific step-by-step diagnostic prompt?

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