AI productivity is becoming less about a single chatbot and more about building a collection of specialized tools.
A practical productivity stack might include:
Assistant layer: ChatGPT or Claude for writing, coding, and analysis.
Research layer: Perplexity for web-based research and NotebookLM for working with supplied documents.
Knowledge layer: Notion AI for information management.
Meeting layer: Otter.ai or Granola for transcription and notes.
Automation layer: Zapier for connecting applications.
Scheduling layer: Reclaim.ai or Morgen for calendars and tasks.
The best stack depends on the user's workflow. There is no need to automate a task simply because automation is available.
Start with repetitive work that has a clear process and measurable time cost.
The Campus Review explores these tools in more detail:
https://thecampusreview.com/edtech-and-ai/ai-productivity-tools/
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