Introspection

Introspection provides an agent cloud for turning specialist expertise into agents for internal operations and customer-facing products. Teams define agent recipes: versioned source describing an agent’s behavior, tools, skills, and standards for judging outcomes. Its runtime connects agents to company systems with permissions scoped to the users they serve, while persistent memory and durable execution support work across sessions, interruptions, and retries. Illustrative workflows include borrower applications, royalty audits, and care coordination.

Operator is its managed AI engineering agent. It investigates production failures, brings domain experts into review, and tests proposed recipe changes through evaluations or deterministic checks. With authorization, it can prepare draft pull requests; the customer’s review and deployment process releases changes. This makes improvement an explicit engineering workflow rather than treating collected feedback as an automatic update to agent behavior.

Introspection works alongside customers’ specialists and engineers on production deployments, or provides the platform for their engineers to operate directly. Its architecture separates configuration and credentials from task execution and results; the data plane can run in its managed cloud, a customer’s cloud account, or on premises. Its services-firm strategy centers on developing customer-owned code, training data, and specialized intelligence from expert judgment and practical experience.