OpenClaw user builds 10-automation operations stack with sports picks, lead generation, and digital fulfillment

✍️ OpenClawRadar📅 Published: April 14, 2026🔗 Source
OpenClaw user builds 10-automation operations stack with sports picks, lead generation, and digital fulfillment
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A developer documented their two-month experience building a practical AI operations stack on OpenClaw, resulting in 10 working automations that run autonomously.

Working automations built

  • Daily sports picks pipeline running at 10AM CT that generates picks from ESPN data using a custom confidence model, formats them into subscriber SMS cards, and delivers via email + Twilio
  • Nightly pick grader that wakes at 1AM to look up final scores and update W/L records
  • Prospect builder that scrapes Google Maps every weekday morning for local business leads
  • Stripe pollers running every 5 minutes to deliver digital products to buyers automatically
  • Session briefing email that fires every time a new session starts so the agent knows exactly where things were left off
  • Daily ops report at 6AM covering social stats, pick record, credential status, and open items

What didn't work

The developer also built a full AI video production pipeline with automated renders, QA checks, and ElevenLabs voiceover, but killed it due to zero revenue, constant maintenance, and a QA system that once approved "a video of a player standing in a parking lot giving an interview." They describe this as "built for ego, not for customers."

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Documentation approach

The developer packaged all 10 working automations into a playbook described as "not a tutorial — a field manual." Each automation includes:

  • What it does
  • How it works
  • What burned me so it doesn't burn you

The playbook also includes:

  • All 10 automations with architecture notes
  • The MEMORY.md discipline that makes the agent actually remember things across sessions
  • Full ASCII diagram of how it all connects
  • A straight-talk section on ego-driven products (using the video pipeline as a case study)
  • A pointer to Volume 2 covering digital product fulfillment stack

The developer notes that "most of it took longer than I expected to get right" and that the entire system "runs while I sleep."

📖 Read the full source: r/openclaw

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👀 See Also