How we built a Tactix regression suite that replays real agents against frozen evidence—and learned to evaluate the test cases as hard as the models.
How we sped up Tactix Co-Pilot across the data path, tool layer, and reasoning loop, then added the timing data to know what to fix next.
Here's how we built a conversational analyst that can't see what it shouldn't.
AI agents, the harness, the harvested context, and the testable chunks.
Here's the data model that lets an AI agent pull naturally from your data without ever seeing a store it shouldn't.
Email attachments in, refined signals out, and the medallion pipeline in between.
Most QSR operators don't need another forecast. They need to know why last Friday was down, and what to do about next Friday. Here's how we rebuilt Tactix around three sequential AI agents to answer that, the determinism we traded for explainability, and the two hard problems we hit getting there.