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

Описание и применение

Автоматизация еженедельных отчётов с помощью ИИ‑агентов позволяет собирать данные из источников, вычислять метрики в коде и генерировать отчёт, избегая ошибок, связанных с задержками, частичными запросами и неверными правами доступа.

Задача

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

Результат

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.

Рабочий процесс

• 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

Доказательства

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

Источник

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"

Источник

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"

Источник