Turn raw data into weekly reports — automatically.

Pull metrics from multiple APIs every Monday. Run parallel AI analysis on each data stream. Compile into a formatted summary. Deliver to your team via Slack or email. Zero manual work.

Someone spends Monday morning pulling numbers together.

Export from the CRM. Export from the analytics dashboard. Pull from the payments API. Paste into a spreadsheet. Write a summary. Format it. Copy into Slack. Every week.

This is exactly the kind of multi-step, multi-source, recurring task that should never touch a human hand.

Write it once. Runs every Monday at 9am.

weekly-report.mdcron: 0 9 * * MON
# Weekly Business Report
 
### 1. Fetch revenue data
Get last 7 days of revenue from the payments API. No dependencies.
 
### 2. Fetch user signups
Get new user count from the analytics API. Runs in parallel with step 1.
 
### 3. Fetch support tickets
Get open ticket count and top categories. Runs in parallel with steps 1 and 2.
 
### 4. AI trend analysis
Using all three data sources, identify the top 3 business trends this week. Depends on steps 1, 2, AND 3.
 
### 5. Compile report
Format the data and analysis into a structured weekly report with key metrics and recommendations.
 
### 6. Send to team
Post the report to #weekly-updates on Slack and email to the leadership list.

Parallel execution. AI analysis. Self-healing.

⚡
Steps 1, 2, and 3 run simultaneously
AI infers from prose that the three API fetches are independent. They run in parallel — the report takes seconds, not minutes.
AI
AI writes the analysis, not you
The ai_call step gets all three data streams as context and produces a written summary. No templates, no string formatting.
🔁
Self-healing if an API goes down
If the payments API returns an error, AI recovery diagnoses and retries with adjusted parameters before escalating to you.

Built with 4 step types and a cron trigger.

cron trigger — fires every Monday at 9am UTC
http_request ×3 — parallel fetches from each data source
ai_call — trend analysis with all data as context (fan-in)
transform — compiles data into report format
connector — delivers to Slack and email

Your first automated report
running this Monday.

Write the workflow in plain English. CFFBRW compiles and schedules it. No credit card. No config files.