The need for a
defined rubric.
The AI Agent Report began with a simple observation: business operators are being buried by vendor claims. When we looked for objective data on how a voice agent actually handles a frustrated caller or how a scheduling bot manages complex calendar conflicts, we found mostly sales brochures.
We built a laboratory-style approach to software reviews. We don't just "try" software; we run it through standardized stress tests. For every category—from medical receptionists to back-office ops tools—we apply a fixed scoring rubric before we ever talk to a vendor. This ensures our findings are rooted in the tool's behavior, not its pitch deck.
Our independence is structural. Rankings are locked before commercial conversations take place, and we never allow payment to alter a score or placement. If an agent hallucinates, we record it. If a handoff breaks, we report it. Our loyalty is to the operator making the buying decision, not the software company seeking the lead.
