Declan Ofoegbu

Silent memory failures hide inside successful model calls until production traces expose them.

Tools need explicit time budgets and cancellation signals that models cannot enforce alone.

Coordination failures in multi-agent systems hide in handoffs between agents, not inside them.

When agents complete their work, wrong results can hide in plain sight before anyone notices.

How to catch silent failures when AI agents change their prompts.

Agents fail to select the right tool as available tool sets scale beyond dozens.

The harness, not the model, causes agent paralysis and refusal.

Mixing delimiter styles in prompts creates vulnerabilities that modern attacks exploit at scale.

Attention decay causes agents to drift from instructions without any prompt changes.