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Users need more flexible tools within CRMs to analyze exported data, filter by specific criteria, and generate custom reports, as current tools often lack these capabilities, forcing users to build external solutions.
I needed to analyze CRM and customer meeting data in a way our tools don't support, so I used Claude Code to build a web app in two hours. Is the code good? No. Is it robust? No. Does it matter? No, not really. It solved the problem, and building it took less time than scheduling a meeting to discuss whether we should build it. "Disposable" software changes the economics of custom tooling. There's a vast category of company problems that were never worth the investment/headache of traditional SaaS. Too small, too specific, too transient to be ROI justifiable... AI-generated disposable software makes many of these problems suddenly solvable. This little app loads CRM exports, filters data by quirky criteria and generates the reports we need. It's poorly architected. It has no error handling and it breaks easily. But it solved a problem in less time than it would have taken to explain it! If you can articulate the problem, you can build the tool. Use it until the problem changes, then just re-build it. Or throw it away.