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Manage online stores and campaigns with an open-source agent

The author built an open-source agent that turns voice notes into reports, checks orders and ad spend every five minutes, and suggests one next task across crowdfunding, Amazon and Shopify businesses.

Done with a custom-built or unnamed agent

What they did
The author built the workflow around Nous Research’s Hermes Agent with a third-party LLM gateway and a three-tier model router: a cheap model for routine work, a smarter one for ambiguous tasks, and a local fallback for outages or private jobs. They fed it voice notes or messy text from two crowdfunding campaigns, an Amazon store, and a Shopify site; a cron job then checked orders, ad spend, inbox flags, and a todo list every five minutes, kept one memory file updated, and pushed back one next task, plus weekly and monthly recaps.
How it went
After six months, the author says the core loop stuck where Notion, Todoist, and lightweight CRMs had failed, and the routing setup was about 60–70% cheaper than using a top model every time while being more reliable. It still mislabels tasks, misses details, and some reports or automations end up useless.
Worth knowing
Their main lesson was to start with just three automations that worked—daily report, next-task push, and weekly recap—after spending two weeks over-automating and making the system brittle.

Try it yourself with OpenClaw

Set up an agent that checks [Shopify, Amazon, or crowdfunding store] orders and [ad platform] spend every five minutes and alerts me if [threshold, e.g. spend exceeds $X or orders drop]. Also turn my voice notes in [folder or chat] into a short daily report and end it with one suggested next task. Ask me before changing any ad budget, sending any message, or editing any listing.

Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.

Read the original ↗

Source: Reddit · Undated

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