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From ClickOps to GitOps: The Evolution of AI App Development
How we bridge the gap between no-code AI prototypes and production-ready applications
At a recent conference, I met a film industry risk assessment team that had built a chain of GPTs to automate complex safety evaluations. While many early AI applications focus on internal productivity (like our JIRA or exchange rates example), this pattern works equally well for customer-facing features. One of our customers uses this exact architecture to provide natural language interfaces for heavy machinery rentals – turning complex equipment specifications into conversational interactions.
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