Point an agent at the order exceptions, not the routine work
by PaperChaseWebb
Instead of automating the 90% of orders that already run fine, one operator aimed an agent at the messy exceptions. The agent drafts a fix for each one and a person approves it with one click, which cut the daily exception queue from most of a day to about an hour.
- Price
- Free
- Difficulty
- Beginner
- Setup
- 15 min
- Format
- .md file
point-an-agent-at-the-order-exceptions-not-the-routine-work.md · 3 KB · direct download, no signup
What you end up with
Start where the human time actually goes.
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
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
Cost to run: Free with the agent plan you already use.
Time to result: One working session
How it works
Count a week of exceptions by type and how long each takes a person
Count a week of exceptions by type and how long each takes a person
Expected: Done before you move to the next step.
Pick the most common type and write down what a correct fix looks like
Pick the most common type and write down what a correct fix looks like
Expected: Done before you move to the next step.
Have the agent draft the fix with its reasoning, never apply it
Have the agent draft the fix with its reasoning, never apply it
Expected: Done before you move to the next step.
Add one-click approve and reject, and log every rejection with a reaso
Add one-click approve and reject, and log every rejection with a reason
Expected: Done before you move to the next step.
Keep any old workaround that verifies something until you know what it
Keep any old workaround that verifies something until you know what it checks
Expected: Done before you move to the next step.
Sample prompt from the pack
Apply this workflow to [your project]: 1. Count a week of exceptions by type and how long each takes a person 2. Pick the most common type and write down what a correct fix looks like 3. Have the agent draft the fix with its reasoning, never apply it 4. Add one-click approve and reject, and log every rejection with a reason 5. Keep any old workaround that verifies something until you know what it checks 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
# Point an agent at the order exceptions, not the routine work PaperChase agent use case (free feed entry), version 1.0. Source: [u/Puzzled-Effort-9319 on r/AI_Agents](https://www.reddit.com/r/AI_Agents/comments/1xfz5la/most_businesses_dont_need_a_more_autonomous_ai/), 2026-10-26. ## What they did The author argues most businesses do not need a more autonomous agent. Their routine orders were already handled by existing rules, while exceptions (address problems, stock mismatches, payment holds) ate a person's day. They had the agent prepare a proposed fix for each exception with the reasoning attached, and a person clicks approve or reject. They also kept the old manual workarounds that act as checks, rather than removing them as clutter. ## Worth knowing Start where the human time actually goes. Exceptions are a good fit because each one is small, the fix is reviewable, and a wrong draft costs one click to reject. Before deleting an old workaround, ask whether it was quietly checking something. Time savings are the author's estimate.
Worth knowing
- Start where the human time actually goes. Exceptions are a good fit because each one is small, the fix is reviewable, and a wrong draft costs one click to reject. Before deleting an old workaround, ask whether it was quietly checking something. Time savings are the author's estimate.
- 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/Puzzled-Effort-9319 on r/AI_Agents. Source: https://www.reddit.com/r/AI_Agents/comments/1xfz5la/most_businesses_dont_need_a_more_autonomous_ai/
Is it free?
Yes. Feed entries are free to read and download.
Details
Version 1.0 · Updated Oct 26, 2026 · Markdown version of this page
License: Personal and commercial use. Credit the original source when you share the workflow. Download terms
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