WhoBuilt

The End of Apps

Sep 22, 2026· 24 min· 2.5K views·Watch on YouTube

Speaker

Kitze, a tinkerer and creator of the productivity app Benji, discusses the past, present, and future of productivity and personal agents at Agent Conf 2026, hosted by Callstack.

From to-do lists to a life OS

Kitze traces his search for a workable productivity system from childhood lists to Android text files and voice capture through Google Home. He built Benji to bring many productivity features together, but says logging everything became tedious and the app’s input forms remained clunky.

The promise and mess of personal agents

After ChatGPT’s plugin announcement, Kitze imagined replacing app forms with conversational interfaces. Later, experiments with Claude Code and OpenClaw agents included email triage, smart home control, booking a snow shoveler, and collecting personal data in Markdown. The experiments felt powerful, but maintaining OpenClaw became a full-time job and many people in his community found agents unreliable and difficult to set up.

Why chat is a poor home for agents

Kitze argues that one-to-one agent chats do not fit people juggling many tasks, and that a general-purpose agent lacks clear specialization. He favors named agents with their own models, instructions, tools, permissions, and skills. He also found chat platforms confusing for managing work, while the choice between self-hosted and cloud agents leaves tradeoffs around setup and data privacy.

Toward portable, personal software

Kitze describes Mind, a browser organized around to-dos, and Defold, an interface combining to-dos, notes, and chats. He sees agents creating interactive widgets and temporary apps for tasks such as choosing flights or packing for a trip. He says Exeutor connects MCPs across agent setups, while Skillbox makes skills portable.

The computer as an agentic OS

Kitze predicts computers will handle most task work in the background and prompt people when they need to make a decision or unblock a task. He expects many consumer apps to give way to conversational computer interfaces, while specialist creative software remains. He speculates Apple could benefit if local models on its hardware become capable enough for everyday productivity.

Takeaways

  • Reduce friction at the point of capture: Kitze’s voice-to-task workflow worked until Google discontinued the feature it depended on.
  • A broad productivity app can become burdensome when users must manually log every activity; Kitze built up 49 features but struggled to market the product.
  • Treat agent reliability and setup effort as product problems: Kitze’s OpenClaw community shifted from sharing use cases to troubleshooting failures.
  • Design agents around distinct tasks, permissions, tools, and skills instead of forcing many workflows into one chat.
  • Portable connections and skills can help users carry an agent setup between tools, while keeping personal data organized can make it more useful.

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