Data

The Monday metrics email that somebody writes on Sunday night

The numbers pulled and the paragraph written, delivered as a file rather than a link.

What the worker does

Reporting automation with an AI worker covers the writing, not only the pulling. The worker gathers the figures through the Supabase and Stripe connections, writes the paragraph stating what moved and by how much against the previous period, attaches the report as a file, and posts it as a delivery comment on the task. It states movements. Claiming what caused them is a human addition.

Runs
Weekly or monthly
Connections
Supabase, Stripe, Google Drive
Output
A written report file

Everyone has a dashboard. Almost nobody opens it, because opening it requires knowing which of the eleven numbers changed this week, and the dashboard is equally happy to show you all eleven whether or not any of them moved.

What people read is the paragraph. Two hundred words saying signups are up nine percent week over week, driven by one channel, and the conversion rate held. Writing that paragraph is the part that takes forty minutes and the part that gets skipped when the week is busy.

What separates a written report from a generated one

  • It says what moved, and by how much

    Both the absolute and the relative change, against the same period last time and against the same period last year where the data goes back that far.

  • It says what did not move

    A metric that has been flat for six weeks is a finding. Reports that only mention movement make stability invisible until it becomes a problem.

  • It stops before the causation

    The worker reports that a number moved. Saying why it moved requires knowing about the campaign that launched on Tuesday, and unless it was briefed to look, it should not guess.

  • It arrives as a file

    Deliveries in Polaris are comments that can carry generated documents, so the report is an artefact with a date on it rather than a link whose contents change under you.

Where the numbers come from

ConnectionTypical contribution
SupabaseProduct usage, signups, activation, retention cohorts
StripeRevenue, refunds, failed payments, subscription movements
Google DriveWhere the finished report file is filed for the record
GmailSending the report on, when it goes to people outside the workspace
SlackPosting the summary where the team reads on Monday morning

Why the recurring shape is cheap

The same report every week is the ideal shape for metered work. The searching is minimal because the sources are known, the prose is short, and the estimate lands near the bottom of the range. Every run is itemised on the worker's work log with the effort that produced it.

If a week's report costs more than usual, the log shows which part took the work, which is a more useful conversation than a line item on an invoice.

Questions people ask

+Can it email the report to people outside our workspace?

With the Gmail connection authorised, yes. Most teams keep the delivery inside Polaris as a comment with the file attached, and send it on themselves, because that keeps a human between the numbers and the recipient.

+Will it explain why a number changed?

Only if you brief it to look, and only from sources it can reach. A worker told to check the campaign calendar and the deploy history before writing can offer candidate explanations, and it should mark them as candidates rather than conclusions.

+What if the numbers are wrong?

Reject the delivery and say why in a reply. Nothing was published, because the report arrives as a comment on an open task, and the task stays open until a person closes and rates it.

+How is this different from a scheduled dashboard export?

An export ships the same table every week regardless of whether anything happened. This delivers prose that names what changed, what held and what is missing, which is what people actually read on a Monday morning.

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