Agent Directory Getting Traction

Agent Use Cases

Real examples of what people are actually doing with AI agents.

How it makes money Sponsors pay $800 for one week as shown on its sponsor page. Reading is free.

By Cindy Molchany. Published Oct 17, 2026. Last checked Oct 17, 2026. Visit Agent Use Cases.

Who or what does most of the work?

Pick one. The verdict, the teardown and the comments open after you guess.

AGENTIC

The verdict on Agent Use Cases

Mostly agents finding and writing up real examples, with a review gate before they go live.

Human in the loop

1 / 10

Lower means agents do more of the delivery work.

Agentic sweet spot

YES

Model it? Same call. Our take below says why.

The short version

Problem: People hear agents can do real work but cannot find real examples with the prompt and the source. Hype is easy to find. Proof with a link is not.
Money: Reading is free as shown. Money comes from sponsors as shown. $800 for one week as shown, rising $100 after every sale as shown, 3 sold as shown, plus audience figures as shown on the sponsor page. No revenue total is claimed here, and no figure is audited by us.
Lesson: This is mostly aggregating info and putting it into a structured format. That makes it simple to model. It needs low fidelity and point of view work compared with Is It Agentic?, which adds fidelity and a point of view. Copy the structured list and the source links. Keep quality high and build an audience a sponsor wants to reach.

The teardown

7 steps: who or what does each one

How Agent Use Cases seems to run, as far as we can tell. Some of this is on their site. Some is our best read, and it is labelled that way.

Step	Who does it	What happens	Evidence
1 Find a real agent use case on the open web, X, Reddit, or Hacker News	To confirm	1. Find a real agent use case on the open web, X, Reddit, or Hacker News. To confirm split. Sources are listed on the home page. Who finds each case, Alex, an agent scan, or a reader submission, varies by entry and is to confirm as a workflow.	To confirm
2 A reader submits a use case from the home page	Human	2. A reader submits a use case from the home page. Customer and Human. Anyone can submit, per the About page. Submissions do not count as team delivery until review.	To confirm
3 Alex Finn reviews each submission before it can be published	Human	on the About page. This review gate is the quality gate for the whole site.	Confirmed
4 Write the entry in the site own words and link the original post	To confirm	4. Write the entry in the site own words and link the original post. To confirm split. About page confirms entries are written in our own words with a link to the source. Who drafts each entry is to confirm.	To confirm
5 Publish by agent type and topic, with a view prompt option	To confirm	5. Publish by agent type and topic, with a view prompt option. Site system. As shown on the home page.	To confirm
6 Send the Daily 5 email	To confirm	6. Send the Daily 5 email. To confirm split. Subscriber count is as shown on the sponsor page. Who picks the five each day is to confirm.	To confirm
7 Sell and run the sponsor bar and email sponsor line	Human	7. Sell and run the sponsor bar and email sponsor line. Human. Offer and price as shown on the sponsor page.	To confirm

Confirmed we can see it Claimed they say so Inferred our best read To confirm not known yet

What it's built with

0 tools they use, 0 you could use to copy it

The flow first, then the tools. We keep what they use apart from what you could use to copy it.

Source found or submittedHuman review gateEntry written in own wordsPublished by agent and topicDaily 5 emailSponsor bar on every page

Used by them

None confirmed for delivery.

You could build it with

None listed. Do not model a case where the core claim is in doubt.

Tool picks are our suggestions to copy the model. Not sponsors.

Is Agent Use Cases worth modeling?

Our take. Not a review, not a ranking.

The site works because it is specific. A real thing a person did, the agent they used, the prompt, and the source link.

This is a perfect idea to model because it is mostly aggregation in a structured format. It does not need the fidelity and point of view work that Is It Agentic? adds.

Keep steady curation and build an email audience sponsors believe in.

Questions about Agent Use Cases

5 short answers

Is Agent Use Cases agentic?

Our verdict: AGENTIC. Human in the Loop is 1 / 10, where lower means agents do more of the delivery work. Agent does: Cindy reported that Alex Finn says Grok built the business end to end. The source for that founder claim is not confirmed yet. Human does: Alex Finn reviews each submission before it can be published as shown on the About page. That review is a human spot check.

What is Agent Use Cases?

Agent Use Cases lists real examples of people using AI agents, with a link to the source. For people who want real agent examples they can check, not hype.

How does Agent Use Cases work?

Step by step: Find a real agent use case on the open web, X, Reddit, or Hacker News, A reader submits a use case from the home page, Alex Finn reviews each submission before it can be published, Write the entry in the site own words and link the original post, Publish by agent type and topic, with a view prompt option, Send the Daily 5 email, Sell and run the sponsor bar and email sponsor line.

What does Agent Use Cases cost or how does it make money?

Sponsors pay $800 for one week as shown on its sponsor page. Reading is free.. Reading is free as shown. Money comes from sponsors as shown. $800 for one week as shown, rising $100 after every sale as shown, 3 sold as shown, plus audience figures as shown on the sponsor page. No revenue total is claimed here, and no figure is audited by us.

Is Agent Use Cases worth modeling?

Model it: YES. This is mostly aggregating info and putting it into a structured format. That makes it simple to model. It needs low fidelity and point of view work compared with Is It Agentic?, which adds fidelity and a point of view. Copy the structured list and the source links. Keep quality high and build an audience a sponsor wants to reach.

Sources and right of reply

Evidence: Public source. Checked Oct 17, 2026.

Evidence: Public Source for count, sources, review gate, sponsor offer, and audience figures, all as shown on 2026-10-17. What is not proven: The agent versus human split in finding and drafting entries. Revenue beyond sponsor terms as shown. How the Daily 5 picks are made. Right of reply: open to Alex Finn, on workflow split, sponsor sales, and audience figures.

https://agentusecases.ai

Is this your business? Tell us what we got wrong. We will review the evidence and link your reply next to this case.

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