How to automate weekly reports with AI agents (and keep the numbers honest)

Description and use

Automating weekly reports with AI agents enables data collection, code‑based metric calculation, and narrative generation while preventing errors from lag, partial pulls, and over‑privileged access.

Problem

Founders still manually compile weekly metrics, risking inaccurate or misleading reports.

Outcome

The pipeline produced daily search reports for Organ, detecting a spike and fall in impressions due to a single post, and avoided false positives that a naive report would have produced.

Workflow

• Write down five fixed questions to answer each week
• Grant read‑only access per source and define what the job pulls
• Build a pull script per source that handles pagination and saves raw output
• Compute all metrics in code from the saved files
• Let the agent write the narrative with rules for citing numbers and handling missing data
• Schedule the job and separate internal runs from outputs that leave the company

Evidence

Sources lag. Google says Search Console data "is typically available after 2-3 days"

Source

APIs paginate and cap. The same Google page says the API returns at most 25,000 rows per response and that, when you group by page or query, "our system may drop some data"

Source

When a call fails, the easy output is "0 signups this week"

Stripe's own docs recommend restricted keys "especially when giving a key to an AI agent"

Source