Notion AI

User comments reveal a deeply divided audience. Many are devoted Notion fans who love the core product's databases, templates, and organizational power. However, the AI feature draws sharp criticism. Multiple highly-upvoted comments call it a 'thin wrapper over GPT-3,' noting that hundreds of similar apps exist and that this feels like 'feature, not product.' A concrete performance complaint details pasting ~250 lines of JSON into a code block resulting in '5 minutes of lag' — described as the worst text editor lag ever experienced. Users question the actual productivity gain: one asks whether rewriting AI output saves time versus writing your own draft. The AI's lack of real-world context is highlighted — it doesn't know your feature set, pricing, or business specifics. Several comments criticize the uninspired product vision, wishing Notion tackled knowledge retrieval and stale content categorization instead of text generation. Non-technical PMs are blamed for pushing AI features based on novelty-driven engagement metrics. A Notion employee (identifying as such) acknowledges that AI is 'multiplicative' — useless without an existing workspace, but valuable if you already use Notion as a collaborative wiki. Prompt injection vulnerabilities are discussed extensively. Offline mode remains poor, and search 'needs work.' One user notes that the core of Notion could be rebuilt for under $1M, suggesting investor pressure drives feature bloat over quality.

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