Self Improvement Loopv4.6.17

A customer support agent automatically captures user corrections and complaints. After detecting patterns like 'response too technical' occurring multiple times, it notifies the support team and proposes an A/B test to simplify language, improving customer satisfaction.

A DevOps agent logs deployment failures with error codes. When a specific error (e.g., 'connection timeout') appears more than twice, the agent alerts the engineer and runs a B decision to adjust retry logic or timeout settings, reducing future failures.

A sales agent tracks repeated feature requests from prospects, such as 'need bulk import'. After the third mention, it notifies the product team and executes a C decision to generate a feature specification draft in the agent's workspace, speeding up product development.

A code review agent records common code smells like 'unused imports'. When the same issue appears in multiple commits, it flags the developer with a suggestion and runs a D decision to automatically apply a code style fix via linting rules in the agent session.

A financial assistant logs compliance queries and ambiguities. After detecting a pattern like 'GST rule mismatch' twice, it notifies the compliance officer and executes an A decision to retrieve updated regulations, ensuring accurate advice.

Each agent's self-improvement loop is a premium feature charged per agent per month. Revenue scales with number of agents deployed.

Enterprise customers pay an annual license for unlimited agents with guaranteed uptime and priority support for the self-improvement loop feature.

Customers purchase improvement credits for A/B/C/D executions, pattern detections, or notifications. Each credit consumed when a decision is made.