Near-100% Accurate Data for your Agent with Comprehensive Context Engineering (opens in new tab)

Agentic workflows are already used for initiating action. To be successful, agents typically need to combine multiple steps and execute business logic reflective of real-life decisions. But, as developers rush to deploy these autonomous agents, they are slamming into a wall: the compounding error problem of accuracy. To understand why agentic workflows require near-100% accuracy on questions that are answerable by your database data, let’s look at the numbers: Assume an accuracy of 90% in a s...