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

说明与用途

使用 AI 代理自动化每周报告可实现数据收集、代码计算指标和生成叙述，避免因延迟、部分拉取和权限过大导致的错误。

问题

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

结果

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.

工作流

• 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

证据

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

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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"

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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"

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