Tend Experiment Showcases GPT-5.6 AI Loop Email Workflow

The Every team recently launched an experiment called Tend, exploring how GPT-5.6 reshapes knowledge work. The experiment suggests that the core of human work is shifting from "processing individual tasks" to "maintaining and supervising AI loops," a transition that should matter to all information-dependent knowledge workers.

Key Details and Workflow

Using Dan Shipper's inbox as an example, the AI loop operates as follows: first, GPT-5.6 automatically scans the inbox to filter emails worth attention. Next, the model researches the context, generates brief summaries, and suggests replies. Finally, humans only need to review, edit, or dictate additions to these results. Once approved, the revisions are fed back into the agent's memory, allowing the system to continuously improve based on historical feedback.

Background and Impact

Multiple authors point out that GPT-5.6 represents more than just an improvement in prompt engineering; it signifies a completely new work paradigm. In this model, AI handles scanning massive amounts of information, surfacing decisions, and executing approved actions, while the human role transforms into continuously managing and cultivating this automated system to massively boost efficiency.

2026-07-11 ~ 2026-07-11 · 5 related posts

• [source] Tend: Reshaping Email Workflow with AI Loops — every · 2026-07-11
• [source] GPT-5.6 Transforms Knowledge Workflows — every · 2026-07-11
• [source] GPT-5.6 Email Workflow Example — danshipper · 2026-07-11
• GPT-5.6 Ushers in a New AI Workflow — TechPreacher · 2026-07-11

1 near-duplicate retellings: danshipper