Design an auto-report or reminder script. Return JSON {"scenario_name":"...","trigger":"...","data_source":"...","ai_step":"...","action":"..."}. trigger — schedule or threshold; data_source - where the data comes from; ai_step — turn the numbers into a short human output and highlight anomalies; action - where and in what form to send the summary (indicating what the recipient should do).
Reports and reminders are ideal for automation because they run on a schedule and collect data that is already lying somewhere. Scheme: trigger - time (every Monday at 9:00) or threshold (sales have fallen below normal); data source - table, database, statistics; The AI step is to turn dry numbers into human text: what has increased, what has decreased, what to pay attention to; action - send a summary via messenger or email. Mechanics: the schedule plays the role of an alarm clock, and AI plays the role of an analyst who, instead of a sheet of numbers, produces a short conclusion “here is the main thing.” Leverage: in reminders, indicate not only “what”, but also “what to do” - not “the report is ready”, but “the report is ready, check the line with returns.” Insider: let the AI itself highlight anomalies - sharp jumps and dips - and put them first; a person reads three lines, not thirty. Second trick: add a silence threshold - if there is nothing unusual, send a short “everything is normal” so as not to teach people to ignore the newsletter. A typical mistake: overwhelm your team with daily tasks. Many reports = zero attention; better rarely, but to the point.
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