The Hidden Benefit of an AI Agent: It Forces You to Explain What You Want

The Hidden Benefit of an AI Agent: It Forces You to Explain What You Want

I’ve been using Hermes Agent as my local AI assistant for months now. I mostly use it for the obvious stuff—drafting emails, summarising meetings, pulling data from our internal systems. But there’s one benefit I didn’t expect. It forces me to explain what I actually want.

Sounds simple, right? But it’s one of those things that’s quietly rewired how I think about tasks. When you tell an AI to do something, you can’t just mumble “sort that out” and walk away. You have to be precise. And when you’re not precise, the agent asks questions. Or worse, it does exactly what you asked, and the result is useless. That’s when you realise the problem wasn’t the AI. It was you.

The mirror test

Last week I asked Hermes to pull together a quick report on customer churn. I said something like: “Get me the churn numbers for last quarter, broken down by region.” It came back with a table that had no context—no comparison to the previous quarter, no explanation of what ‘churn’ meant in our system. The numbers were technically correct, but completely unhelpful.

My first thought was frustration. Then I stopped. I’d given it a vague instruction. I hadn’t defined the period clearly. I hadn’t specified whether I wanted gross or net churn. I hadn’t even said what format I wanted the output in. If a junior analyst had come back with that same table, I’d have been annoyed at them. But the agent just showed me my own sloppy thinking.

That’s the hidden benefit. The AI becomes a mirror for messy instructions. It doesn’t guess. It doesn’t assume. It takes what you say literally. And that forces you to get clear.

It’s a delegation training tool

This lesson transfers straight to managing people. If your AI can’t understand a request, what makes you think a human staff member will? They might nod along, but they’ll fill in the gaps with their own assumptions. And those assumptions will be wrong half the time.

Now I treat Hermes like a test subject. Before I delegate a task to a colleague, I try giving it to the agent first. If the agent gets confused or produces something off-target, I know my instructions are too vague. I rewrite them. When the agent nails it, I’m confident the human will too. It’s like having a proofreader for your communication.

Here are a few things I’ve noticed improve since I started doing this:

• Task clarity – I now specify the exact outcome I want, not just the action.
• Constraints – I include deadlines, formats, and boundaries up front.
• Priorities – I rank what’s critical versus nice-to-have.
• Assumptions – I call out anything that’s already known but not stated.

None of this was automatic. The agent taught me by failing enough times.

Better planning, less rework

I’ve also noticed it changes how I plan projects. Before, I’d sketch out a rough plan and hand it off, expecting the team to fill in the gaps. That led to a lot of back-and-forth. Now I use the agent to stress-test my plans. I describe the steps and ask it to identify what’s missing. It often asks questions I hadn’t considered—like dependencies, resources, or approval steps.

For example, when we were setting up a new payment flow, I asked Hermes to draft a rollout schedule. It came back with a timeline that assumed everything would go in one go. I hadn’t mentioned that we needed a phased rollout because of compliance. The agent didn’t know that—it’s not telepathic. But seeing its naive plan made me realise I’d left out critical phases. I went back and added them. That saved us from a messy scramble later.

The agent doesn’t know your business. It only knows what you tell it. So if your instructions don’t produce a usable result, the fault is almost always in the instruction. That’s a tough pill to swallow, but it’s also incredibly useful. It turns every interaction into a chance to refine your thinking.

Practical tips for using this

If you want to get this benefit from your own AI assistant, here’s what I’d suggest:

• Treat failures as feedback – Don’t blame the agent. Ask yourself what you left out.
• Write instructions twice – First draft for your own clarity, second draft for the agent.
• Use it as a delegatee – Before sending a task to a human, run it by the AI first.
• Ask it to clarify back – Some agents can repeat your instruction in their own words. That’s gold for spotting gaps.

I still get frustrated when Hermes doesn’t get it right. But that frustration is a signal. It tells me my own process needs work. And honestly, that’s a benefit I wasn’t expecting when I first installed it. I thought I was getting a timesaver. Instead, I got a mirror and a coach rolled into one.

If you’re using an AI assistant and finding yourself repeating things or getting poor results, don’t give up. Take a closer look at what you’re asking. The agent might just be the best tool you have for improving how you communicate—both with machines and with people.

Need help setting up your own AI assistant? Feel free to contact me at [email protected].