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Agents & Tools2 min read

Ben builds an all-in-one app for personal AI agents

The author of Ben's Bites built a personal “everything” web app that brings together the output of his AI agents—personal and shared—into a single dashboard. The interface shows where each agent is working, the files it touches, and aggregates todos, email, CRM entries, domain data and other resources. A short video demonstrates the layout and the author provides copy‑and‑paste instructions so…

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Key points

  • Ben created a single web dashboard that aggregates todos, email, CRM, domains and AI agent activity.
  • A short video and copy‑paste instructions let readers replicate the “everything” app on their own agents.
  • Future plans include a calendar view to visualise scheduled automations across agents.

The post also lists recent agent‑related announcements, such as Notion agents receiving dedicated compute, ChatGPT taking over Chrome tabs, Meta’s Muse Spark model and a global AI developer hackathon with $1 million in prizes, among others. The author says the next step will be a calendar view that visualises scheduled automations. The write‑up invites readers to share their own builds and feedback.

Among the tools referenced are Wabi 2.0, a shared agent that can build apps and manage travel; Scrawl, which lets users dictate bugs and hand them to an agent; Inflight, which gathers prototype feedback for Claude; and OpenUI 1.0, which expands agent interfaces beyond plain text. The author also highlights a Claude Code workflow for landing‑page design and a new voice upgrade in GPT‑Live‑1.1. All of these examples illustrate how agents can be combined into a unified workspace.

Full story from Ben's Bites · by Ben TossellOpen source ↗

How I built my ‘everything’ app

Ben's Bites · 20 October 2026

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This text was published by Ben's Bites and written by Ben Tossell. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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