Making AI workflows predictable

The problem

Model output could be useful but inconsistent, making it hard to trust automated actions in a production workflow.

The solution

Added bounded tool calls, validation, approval points, retries, and telemetry around each reasoning and execution step.

The result

The system could distinguish an answer, a proposed action, and a completed action instead of treating every model response as success.