Insights · AI Workflows

AI Reporting: When the Weekly Report Writes Itself

How we generate weekly performance reports with AI, with a founder note as the human layer.

6 min read·February 15, 2026·4P Editorial · AI Team
AI Reporting: When the Weekly Report Writes Itself
TL;DR
  • AI generates the weekly report from the data pipeline
  • Founder note as the human layer at the top
  • Reporting time down from 90 minutes to 12 minutes
  • Quality is maintained through an output review loop
AI · Reporting
Weekly Report, AI-Generated.
AI reporting setup with data pipeline.

How It Works

The data pipeline from BigQuery feeds the AI layer. AI generates a weekly report with clear KPIs, cohort updates, top performer highlights, and a risks section. A founder note (3 sentences of context) sits at the top as the human layer.

01
12 Min
Generation Time
02
90 Min
Manual Before
03
Founder Note
Human Layer

What the Report Contains

  • Founder note (3 sentences of context, written manually)
  • KPI overview (spend, revenue, ROAS, new buyers)
  • Cohort updates (which weekly cohort has shifted)
  • Top performer hooks (3 best-performing cuts of the week)
  • Risks section (what to watch)
  • Action items for next week
Example

A reporting pipeline with an AI layer reduced a 90-minute manual job to 12 minutes. Quality is maintained through an output review loop where the founder checks the output before it goes out.

What AI Does Not Replace

Strategy calls on report output. Decisions on the risks section. Action item prioritization. AI generates the data overview; strategy stays a human discussion.

AI reporting is a capacity lever, not a strategy tool.

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Limitierte Plätze · Q2 2026

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