Single Endpoint AI Requests

JigsawStack exposes a range of AI functions behind one SDK, so a team does not need a separate integration for each task. A Beam agent calls the SDK when a defined condition is met, such as a new file landing in a queue or a request from an internal system, and passes along the approved parameters for that task. The returned output is written back into the system that raised the request, such as a database or a ticket. Requests that come back with an error, a low confidence result, or an unexpected format are routed to a person to inspect first.

Cross Language SDK Coverage

Because JigsawStack ships client libraries across common languages, a Beam agent can sit inside whichever codebase a customer already runs, rather than forcing a rewrite around one stack. The agent reads the incoming request from wherever it originates, applies the approved AI task configuration for that customer, and calls the SDK using the matching language client. Successful responses are passed straight to the next step in the workflow without a person touching them. Calls that fail, time out, or return results outside the expected range are held and sent to a developer or operator to check before the workflow continues.

Programmatic AI Task Routing

Instead of a person opening a tool and running a task by hand, JigsawStack lets that task be called directly from code. A Beam agent watches for the approved condition, such as a scheduled batch or an event from another system, and sends the request to JigsawStack with the parameters set for that customer. Results that meet the approved criteria are written back automatically and the source system is updated. Anything ambiguous, such as a request missing required input or a response that does not fit the expected shape, is set aside and routed to a person rather than pushed through automatically.