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Founderz: Responsible Use of AI home

in collaboration with Microsoft

The ten principles

Principle 08 · Before you share · Respect for the reader

Quality of AI-assisted work

AI-assisted work is edited for its reader before it’s shared: the point first, no longer than needed and with the author’s own judgment.

Key question

Would I want to receive this?

Benefit

Messages that get read and acted on, and colleagues who trust what they receive.

Context

AI makes producing text nearly free, but reading it still takes time. When you forward unedited AI output, a colleague pays for it with their time and attention. Researchers at Stanford’s Social Media Lab and BetterUp call this workslop: AI-generated work that looks polished but lacks the substance to move a task forward. In their 2025 survey of 1,150 US employees, 40% said they had received some in the past month, and each case took them almost two hours on average to deal with.

Good AI-assisted work is easy to recognize. The point comes first, the text is as short as it can be, and it contains something only you could add: your judgment, the context or the decision you need.

Writing for the reader

Write for the person who will read it: their language, their expertise and what they need to do next. AI can help here. It can turn a dense policy into plain language, a transcript into readable notes or a chart into alternative text for people who can’t see it, and it can draft a summary for someone who reads your work in a second language. Check the result as you’d check any draft, especially names, numbers and anything promised.

AI meeting notes

An AI summary of a meeting becomes the record of what people agreed. Check decisions, owners and deadlines against what was said. A provisional date recorded as a firm commitment can cause more trouble than no notes at all.

Practices

  1. 01Lead with the point, then the detail.
  2. 02Cut to what your reader needs. It’s usually shorter than the AI’s first draft.
  3. 03Add what only you know: your judgment, the context and the decision you need.
  4. 04Check AI meeting notes against what was actually said before you share them.
  5. 05Say which parts still need checking, so nobody mistakes a draft for a decision.

Prompt examples

A prompt before and after improvement, and the part a person does outside the prompt.

Writing

Summarizing a long report

Before

The result sent straight to the sales team, all one page of it:

“Summarize this 40-page report.”

After

“Summarize this report for our sales team in five bullet points: what changed, what it means for our Q4 deals and one action. Maximum 120 words.”

Your part

Read the report’s own summary, check the five points against it and add one line with your view.

Why it works: Naming the reader, the purpose and the length gets a summary people will use.

Meetings

Sharing meeting notes

Before

“Summarize the meeting transcript.”

After

“From this transcript, list only the decisions, the actions with owners and deadlines as stated, and the open questions. Mark anything said as a possibility, not a decision.”

Your part

Check each decision and deadline against what was said, fix who said what, then send it with a line asking for corrections.

Why it works: Separating decisions from possibilities stops a provisional date from becoming a promise.

Customers

Replying to a complaint

Before

“Write a reply to this complaint.”

After

“Write a reply of under 120 words to this complaint. Acknowledge the problem in one sentence, say what we’ll do and by when (refund processed within five working days), and give a named contact.”

Your part

Check the promise is one you can keep, and make it sound like you.

Why it works: A short reply with a specific promise and a named contact reads as care. A long generic apology reads as a template.

Evidence

  • In a 2025 survey of 1,150 full-time US employees, 40% had received workslop in the past month, and each case took an average of 1 hour and 56 minutes to deal with. [Harvard Business Review]
  • In a UK government evaluation, people using an AI assistant produced report summaries faster and of better quality. [DBT]

Case studies and scenarios

Team practice

Agree simple norms: summary first, a length limit for common messages and a clear flag on drafts that still need review. Write them into your charter.

Team toolTeam AI charter

Sources

What each source establishes, and its limits. The practices and recommendations on this page are ours, and the facts come from the sources. See every source we use.

  1. AI-Generated “Workslop” Is Destroying Productivity Harvard Business Review (Stanford Social Media Lab and BetterUp researchers) · September 22, 2025 · Survey research Defines workslop. Of 1,150 full-time US employees, 40% received it in the past month, and each case took an average of 1 hour and 56 minutes to deal with. Limits: Self-reported, US only and not peer reviewed. The survey method isn’t fully described, and BetterUp sells coaching services.
  2. Microsoft 365 Copilot pilot: DBT evaluation report UK Department for Business and Trade · August 28, 2025 · Government evaluation 72% of users were satisfied. In observed tasks, report summaries were faster and better, while spreadsheet analysis was slower and less accurate. It found no evidence that time saved raised productivity. Limits: A 32% response rate, small observed samples and no before-and-after baseline.

Cite this page

Founderz (2026). Principle 8: Quality of AI-assisted work. The RUAI Standard, 2026 edition. Developed by Founderz in collaboration with Microsoft. https://responsibleai.founderz.com/toolkit/principles/quality-of-ai-assisted-work

Licensed under CC BY 4.0: share and adapt with attribution.