Tara: an agent that tells you a project will be late, and why.

Delays are visible in the data, days before anyone notices.

The signals were already in the platform: late deliveries, overlapping crews, past projects that slipped. Nobody had time to connect them. Managers found out at the weekly meeting, when it was too late to recover.

When should an agent interrupt you?

Before any screens, I wrote Tara's behavior rules. An agent that cries wolf gets ignored, so staying quiet is a feature.

• Threshold: only alert when the predicted slip is large enough to matter
• Evidence: every alert cites where each reason came from
• Confidence: shown openly, so people can calibrate their trust
• Control: the agent suggests, the manager decides. Approve, adjust or dismiss, and each choice is fed back

An alert you can act on in ten seconds.

Each alert follows the same pattern: what will happen, how sure the agent is, why, and what you can do about it. The interactive Tara demo on the home page shows the agent at work, with fictional data.

Trust is the product.

Explaining the "why" mattered more than the prediction itself. People accepted a less certain alert with clear reasons over a confident one they could not check.