Content generation with xAI

This uses an xAI model to draft or rewrite text from inputs you provide. A Beam agent takes an approved trigger and the source records, sends them to the model through the connection your account permits, and writes the result back into your workflow with the prompt and inputs attached. It stays within the instructions you set and adds no facts the source lacked. Output that touches sensitive claims, or that the model returns with low confidence, is held for a person to approve. The model assists the work while a human still signs off on anything customer facing.

Record classification

This sorts your records into the categories you define using an xAI model. When new items arrive, the agent reads the relevant fields, asks the model to label each against your scheme, and writes the label back where your rule allows. Confident, unambiguous results update on their own and are logged. Items the model rates as uncertain, or that fall between two categories, are left unlabelled and routed to a person. You keep the category definitions and the final say, so the model speeds sorting without quietly forcing borderline cases into the wrong bucket.

Summarization of long inputs

This condenses long documents or threads into short summaries through an xAI model. A Beam agent gathers the source text, sends it to the model within your account limits, and saves the summary beside the original so nothing is lost. It records which inputs fed each summary. When the source is incomplete, contradictory, or the model reports low confidence, the agent marks the summary as needing review and passes it to a person. Decisions made from a summary stay with your team, and the underlying record is always kept for them to check.