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Page 24 of the Notis archive: practical systems for delegating work, capturing ideas, and running a company with an AI intern.

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Reviewed by Florian ParisetCase Studies

From 1:1 onboarding calls to office hours: how we scaled activation without losing the human touch

This article discusses how Notis scaled its onboarding process from 1:1 calls to office hours and live sessions, maintaining a human touch while overcoming bottlenecks. It emphasizes the importance of effective onboarding not only for user activation but also for creating enthusiastic advocates through meaningful engagement. The author outlines strategies for live interactions, automated follow-ups, and the significance of timely email sequences to enhance the user experience and boost retention.

Reviewed by Florian ParisetAnalysis

Choosing the Wrong AI Model Is a Productivity Killer

Choosing the wrong AI model can hinder productivity. Different AI models have unique strengths and weaknesses, and the right fit depends on the task at hand. It's crucial to prioritize speed and efficiency over simply opting for the most advanced model. The Notis approach utilizes a multi-agent system to select the best model for each job, ensuring that quality is prioritized over immediate responses. The future of AI productivity lies in systems that automatically match tasks to the appropriate model, minimizing the need for manual selection.

Reviewed by Florian ParisetAnalysis

Your Imagination Is the Real AI Bottleneck (Not the Technology)

This article explores how the real bottleneck in AI usage is not the technology itself, but our imagination. It emphasizes the need to shift from using AI as a simple tool to rethinking workflows and approaches. By treating AI as a creative partner and framing tasks as systems, users can unlock its full potential, moving beyond generic responses to innovative solutions. The key question to ask is not what AI can do, but what you would attempt if failure were inexpensive.