Ashley Cooper on Lovable, Local-First AI Apps, and Safe Agent Workflows for MSPs

The host interviews Ashley Cooper (COO at Cyber Drain, VP of Community at Rewst) about her use of Lovable and other AI coding tools to build small, local-first, deterministic apps and learn through prompting. Ashley describes receiving a Lovable contributor gift after ranking in the top 0.01% of users, her early failed attempt to rebuild community software, and her shift to rapid, browser-based prototypes like JSON-to-CSV converters, receipt/expense and food trackers, and a webhook-driven PSA time-entry timer. She explains her workflow moving from Lovable scaffolding to GitHub/VS Code with Copilot, plus experimenting with Bolt and tools like OpenClaw, emphasizing trust boundaries, least privilege, and treating agents like employees. They discuss prompt engineering using philosophical mental models, risks of unvetted "vibe-coded" SaaS, and advising MSPs to start with data readiness and education before deploying AI for clients.

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