Agent use case pack · Solo business

Show reviewers the effect of an agent's action, not the agent's story about it

by PaperChaseWebb

A post compares two approval screens for the same agent action: a sentence explaining why, versus the action, record, amount, before and after values, the policy rule that triggered review, whether it can be undone and the source ticket. The second can be judged in seconds from facts.

Preview card for Show reviewers the effect of an agent's action, not the agent's story about it
Works withPlain .md
Price
Free
Difficulty
Intermediate
Setup
30 min
Format
.md file
Free sample

show-reviewers-the-effect-of-an-agent-s-action-not-the-agent-s-story-about-it.md · 3 KB · direct download, no signup

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What you end up with

A gate that never rejects could be a good agent or a review nobody reads, and the approval rate alone cannot tell you which.

What you get

  • A plain-language summary of the workflow
  • A fill-in prompt template
  • What to watch out for
  • A link to the original source

Who it is for

Builders who already use AI agents and want a proven workflow they can copy into their own project.

Works with

Plain .md

Dashed chip: Plain Markdown, so it also pastes into other agents such as Grok Bot, Hermes, OpenClaw or Muse. We list those as compatible by format only, not as tested.

Tools needed

Any action-taking agentproposes the action
Approval screenwhat the human sees and clicks
You needAn AI coding agent or chat model
You needA small real task to try it on

Cost to run: Free with the agent plan you already use.
Time to result: One working session

How it works

  1. For each gated action, list the fields that decide it: target, amount,

    For each gated action, list the fields that decide it: target, amount, before and after, policy rule, reversibility, source.

    Expected: Done before you move to the next step.

  2. Make the agent fill those fields, with its explanation below them, not

    Make the agent fill those fields, with its explanation below them, not instead of them.

    Expected: Done before you move to the next step.

  3. Put Reject next to Approve and add an 'ask why' option

    Put Reject next to Approve and add an 'ask why' option.

    Expected: Done before you move to the next step.

  4. Track rejection rate and audit a sample of approvals each week

    Track rejection rate and audit a sample of approvals each week.

    Expected: Done before you move to the next step.

  5. Move low-risk, reversible actions out of the gate and into logs

    Move low-risk, reversible actions out of the gate and into logs.

    Expected: Done before you move to the next step.

Sample prompt from the pack

Workflow template · Any action-taking agent, Approval screen
Apply this workflow to [your project]:
1. For each gated action, list the fields that decide it: target, amount, before and after, policy rule, reversibility, source.
2. Make the agent fill those fields, with its explanation below them, not instead of them.
3. Put Reject next to Approve and add an 'ask why' option.
4. Track rejection rate and audit a sample of approvals each week.
5. Move low-risk, reversible actions out of the gate and into logs.
Stop and ask me before anything irreversible: deploys, payments, sends or deletes.

Adapted by PaperChaseWebb. Not the original author's prompt.

Free preview of the file

show-reviewers-the-effect-of-an-agent-s-action-not-the-agent-s-story-about-it.md (excerpt)3 KB total
# Show reviewers the effect of an agent's action, not the agent's story about it

PaperChase agent use case (free feed entry), version 1.0. Source: [u/ClickOk5811](https://www.reddit.com/r/AI_Agents/comments/1xi4941/designing_the_approval_screen_for_an_agent_the/), 2026-10-28.

## What they did

The author's made-up example is a $40 credit. The narrative version reads fine whether the action is good or bad. The effect version lists the tool, account, amount, records changed with before and after values, the last similar action, the policy limit it crossed, reversibility and the source. Reject is as easy as approve, and there is a button to ask the agent why. The post adds where to put gates (hard to undo, mistakes that would not show, cost of review, volume) and to track rejection rates and sampled audits.

## Worth knowing

A gate that never rejects could be a good agent or a review nobody reads, and the approval rate alone cannot tell you which. A better screen does not fix volume: one person facing thousands of items a day will skim anything.

Worth knowing

  • A gate that never rejects could be a good agent or a review nobody reads, and the approval rate alone cannot tell you which. A better screen does not fix volume: one person facing thousands of items a day will skim anything.
  • Figures are as reported by the original author and were not re-measured by us.

Questions

Where does this come from?

A public post credited to u/ClickOk5811. Source: https://www.reddit.com/r/AI_Agents/comments/1xi4941/designing_the_approval_screen_for_an_agent_the/

Is it free?

Yes. Feed entries are free to read and download.

Details

Version 1.0 · Updated Oct 29, 2026 · Markdown version of this page
License: Personal and commercial use. Credit the original source when you share the workflow. Download terms

approvalhuman-in-the-loopagentsuxauditrefunds