🤖 Agents: Worth the Hype?

Up until now, AI has acted in response to you.

Your direction.

Your prompt.

Your lead.

That’s changing.

OpenAI’s just turned ChatGPT into something that feels more like a digital coworker than a chatbot with recent updates.

You may have heard by now about GPT-5. I’m enjoying testing it and will have my review soon - but today I want to talk about another big release they gave just a few weeks prior. Agent Mode.

https://openai.com/index/introducing-chatgpt-agent/ 🔗

I asked Agent Mode to build me a complete financial model comparing three pricing strategies about something I was working on, create a presentation deck with the key points, and email it to me. I expected it to struggle or need constant hand-holding.

Instead, I watched it work like a junior analyst on their best day.

The whole thing took 36 minutes.

Could I have done it faster myself?

Maybe.

But would I have enjoyed spending time doing this? Not a chance.

During the past few weeks, I ran ChatGPT’s new Agent Mode through a gauntlet of real work.

Below you’ll find the good, the bad, and the practical takeaways so you can decide whether this upgrade deserves space in your own workflow.

📚 Jim’s Learning Corner: ChatGPT Agent Mode

This feature turns a familiar chat window into a multitasking assistant that finishes projects with minimal hand-holding.

Key Facts

• 🔄 Unified Workspace – browser, terminal, APIs, and a virtual computer live in one place

• 🚀 Strong Performance – solid scores on public benchmarks

• 📊 Economic Potential – analysts see the agent market approaching $50B by 2030

I sent the agent a mixed bag of work: extract key items out of a huge dataset, fill a spreadsheet then summarize it’s findings.

52 minutes later the job was done. And I never had to copy/paste into Google Sheets.

First, it opened a browser and researched industry data.

It decided that learning more about the industry would help it evaluate the data better. Then it fired up Python and built the actual code it needed to run the extraction process. It moved forward with setting up a sheet, adding the data, and after that, it jumped into summarizing and finalizing great report.

It even remembered the brand colors I’d mentioned in a conversation weeks ago to use as a starting point.

Are these tasks replacing senior level positions? Probably not.

But are they way easier (and slightly more gratifying) to watch robots do the work? You bet.

⭐ Where it impressed me

• Context switching without losing track of goals

• Respectable** structure** in summary from it’s own understanding

• Accurate data entry inside the spreadsheet

• Coming up with it’s own intelligence to better accomplish the objective

❌ Where it stumbled

• Draft quality – I still spent time tightening language and fixing formatting to my liking

• Needed guidance – The need was still there to “steer” the AI to have information on how to process the data

But the** numbers tell a story**

OpenAI didn’t just release this and hope for the best. They tested it extensively. Agent Mode scored 89.9% on data science tasks, beating human analysts by 26 points. It doubled the accuracy of Microsoft Copilot on spreadsheet work.

And here’s what those numbers really mean for you:

When your AI assistant edits spreadsheets with twice the accuracy, you spend less time fixing “oops, I shifted the wrong column” mistakes.

Think about that one for a minute.

When it analyzes data at nearly 90% accuracy, more of your insights actually make it into real business decisions.

🆚 Quick comparison

Industries already shifting

McKinsey estimates that agents will handle 15% of work decisions by 2028.

And honestly, I think it will come sooner.

Some early movers in the Agent space 👇

**Finance: **United Wholesale Mortgage boosted underwriter throughput.

Healthcare: Seattle Children’s Hospital turned clinical guidelines into an instant-search tool.

Retail: Wayfair cut product-catalog updates from days to hours.

📋 Your action plan this week

Pick one task that annoys you every month.

Something repetitive that drains your energy but still needs doing.

Write down exactly what success looks like for that task. What are the inputs? What should the output be?

Turn on Agent Mode, put it all in there, raw and unstructured, and watch it work. Stay in observation mode this first time. Note where it excels and where it stumbles.

**Tell me how it went, or drop me a message in Slack. **https://jimcarter.me/slack 🔗 I read *every *response, and love sharing real stories with everyone.

👀 Did you see this?

The way we are using AI is fundamentally changing society. This tweet below encompasses feedback on the difference between GPT-4 and GPT-5 where the former was more of a “cheerleader”.

No matter how you feel about this, we can’t deny it’s becoming a big part of us.

💻 Try This Prompt

This week’s prompt is so simple but so VERY profound. I can’t tell you how deep this one struck a chord on my soul, and I hope it gives you some direction you’re looking for.

*> *What advice have you been trying to give me that I haven’t been able hear?

✌️ Let’s Talk

Agent Mode isn’t perfect (yet). But it’s useful. Set clear boundaries, give it the boring stuff, and watch how much time opens up for work that actually uses your talents.

The technology is ready. The only question is whether we’re ready to hand over the keyboard.

So…do you feel excited about this kind of thing, or are you nervous to hand over control?

P.S. Our community is growing and we’re welcoming new members in weekly. Join us 🔗