Don't build AI SaaS

▤ Summary

This article argues that companies should avoid building generic AI SaaS products without a clear workflow, bottleneck, or commercial pain point. It explains that AI works best when it is tied to specific operations such as lead generation, QA, sales processes, or service delivery. The piece compares self-serve SaaS models with AI-native agencies and suggests that many AI tools only become valuable when they are embedded into business processes. It also emphasizes that founders should design for measurable economics, not just novelty, and should focus on repeatable value rather than broad platform claims.

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