Case study · AI and SaaS
WHMCS Agent
My own product: an AI agent that monitors WHMCS installs and drafts support replies
WHMCS Agent is my own AI agent for hosting companies: a daily check of each WHMCS install and its server, safe fixes, and support ticket replies drafted for approval.
What I built
Disclosure: WHMCS Agent is my own product.
I look after WHMCS for several hosting companies, and the same problems kept coming back: a cron that stopped, a gateway throwing errors, emails failing quietly, an admin without two-factor sign-in. WHMCS Agent checks each install and its server once a day, checks the site every 15 minutes, and reads new support tickets every few minutes. I use it on WHMCS 8.13 and 9.1 installs for three hosting companies; in the screenshots their names and addresses are replaced.
Safe fixes run on their own, such as clearing cron tasks stuck "in progress". Others ask and approve themselves after a timer, and anything the AI suggests always waits. Every fix checks the problem again first, verifies the result and undoes itself if the check fails. For tickets, the AI reads the customer's services, invoices and logs and drafts a reply with a category, the customer's mood and its confidence; billing, cancellation and abuse tickets always wait for a person. It reaches servers through a read-only SSH probe, or a temporary FTPS probe that it deletes and checks.
It is written in Python with no outside packages, runs on a Mac, a Linux server or Docker, and works with Claude, Codex, Gemini or any OpenAI-compatible API. Approvals can come from the dashboard, Telegram or WhatsApp. It is for sale: WHMCS Agent.
The challenge
How I solved it
The outcome
Tech stack
Other work
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