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GPT-5.6 shifts knowledge work from task-by-task to system-tending

Brief

The post argues GPT-5.6 has turned knowledge work into 'tending' systems rather than handling discrete tasks: agents can sweep an inbox, summarize messages, propose replies, and learn from a user's approvals/edits. On 2026-07-10 @gdb released Tend, an open-source prompt/repo to build these adaptive loops in ChatGPT Work for email, hiring, or support.

Why it matters

GPT-5.6 shifts knowledge work from task-by-task to system-tending: it 'sweeps' an inbox, summarizes each email, proposes replies, and learns from a user's approvals and edits (example: Dan Shipper/@danshipper).

Key details

  • Tend is an open-source prompt + repository (released by @gdb on 2026-07-10) for building these AI feedback loops inside ChatGPT Work to manage inboxes, hiring pipelines, or customer-support queues.
  • Workflow detail: after the agent presents summaries and proposed replies, the user approves, edits, or dictates changes (via @usemonologue); the agent updates its behavior from those revisions for future sweeps.
Source evidence

Knowledge work different more — becoming more productive, high leverage, and IMO fun.

Every 📧 (@every)

GPT-5.6 has changed how we think about knowledge work. Your job shifts from handling individual tasks to tending systems with AI loops.

Here’s what that looks like in @danshipper’s inbox:

GPT-5.6 sweeps his email, decides what deserves his attention, researches the context, and presents each email with a short summary and proposed reply.

Dan approves, edits, or reaches for @usemonologue to dictate what he wants changed. Then he moves on.

At the end of each sweep, the agent learns from Dan’s revisions and decisions and remembers them for next time.

Today we’re releasing Tend, an experiment that lets you build this kind of loop yourself. It’s an open-source prompt and repository for turning an inbox, hiring pipeline, or customer-support queue into a system you can tend in ChatGPT Work.

Start by teaching Tend what deserves your attention. Then notice what happens: The inbox gets easier, the instructions get better, and another loop in your work begins to reveal itself.

— https://nitter.net/every/status/2075619608325922989#m