The technical setup of an agent can be surprisingly quick. The thinking before it is what makes the difference between a reliable assistant and a stream of notifications nobody reads.
A useful first agent has a clear objective, relevant data access, a sensible schedule and an output that supports a decision. Start there before choosing templates or delivery channels.
What an agent does
In OneSage, an agent is a scheduled task with intelligence behind it. It checks the sources you give it, works toward the objective you describe and delivers an output for review through a configured channel, such as email, WhatsApp or Slack. It can combine information and surface what appears to need attention.
For example: every Monday at 8 a.m., review CRM deals with no activity for 14 days and send a concise list to the sales lead. The schedule, source, condition, recipient and result are all explicit.
Define the task before building it
“Monitor sales performance” sounds useful but leaves too much open. An agent may find many signals and send a long update with no clear action. A better instruction names the decision and the rule: review yesterday’s sales by representative, flag anyone more than 40 percent below their recent daily average, and send a summary before the morning meeting.
Specificity makes the output easier to judge. It also gives the team a way to tell whether the agent worked as intended.
Three questions to answer first
- What decision will this output support? Name the action someone might take after reading it. If there is no decision, reconsider the task.
- How often does the data change? Match the schedule to the source. An hourly check on weekly data creates noise; a weekly check on fast-moving data may miss a useful window.
- What deserves attention? Define the threshold or condition that should appear in the result, along with what can safely stay out.
An example: supplier performance
A logistics team can ask an agent to review purchase orders fulfilled in the past seven days each Friday. It can calculate on-time delivery, average lateness and short shipments by supplier. The update can put suppliers below an 85 percent on-time rate, or with two or more short shipments, at the top.
This is more useful than a broad weekly data dump because it tells the operations manager where to look first. The live article describes a team that replaced a lengthy manual review with this focused summary.
Calibrate during the first two weeks
Read the first outputs carefully. If the agent flags something unexpected, decide whether it found a real issue or misunderstood the rule. If it misses something important, inspect the threshold and the data source. Small adjustments during the first two weeks are normal.
One source, one metric and one output can be a stronger first agent than a broad brief that nobody fully trusts.
Start small, define success clearly and expand only after the first agent reliably helps someone make a better decision.