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What AI Agents Really Do And Why You Should Care?
These agents could replace mid-level software engineers this year.
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What AI Agents Really Do And Why You Should Care?

AI agents. The next big thing, huh? If you’ve been reading the headlines, you might think your job’s hanging by a thread. Spoiler: it’s not. Well, not yet anyway. But some back-office gigs? They’re probably sweating a little.
Last week, OpenAI dropped Operator, their shiny new agent tool. What does it do? Stuff like clicking buttons, filling out forms, and navigating websites. Sounds cool, right? But here’s the thing—it’s not groundbreaking. Google’s in the game. So are Anthropic and Salesforce. Everyone’s building these AI agents. Imagine a bot not just answering your questions but actually booking an appointment or filing a complaint. That’s the dream.
Zuckerberg even said these agents might replace mid-level software engineers this year. And Axios? They’re saying some tech companies are cooking up AI that can handle “PhD-level” tasks. The hype is real. Maybe a little too real.
Now let’s get back to Earth. While Silicon Valley shoots for the stars, a tiny London startup called REKKI is keeping it practical. They built Claire—a bot that helps restaurant suppliers. Got a chef leaving a garbled midnight voicemail about an order? Claire turns that chaos into neat data for suppliers’ ERP systems. No drama, just results.
And it’s working. A wine supplier? Canceled plans to hire six seasonal workers for Christmas because Claire handled it all. Other companies? Shrunk order teams from 15 people to just three or four. Orat Benyamini, REKKI’s co-founder, says naming bots like Claire helps businesses see their value. Makes sense—easier to compare it to paying an actual person.
REKKI didn’t stop there. They’ve got Aileen too. Her job? Scanning huge ingredient lists and matching them to catalogs. And soon, there’ll be a third bot to help suppliers upsell. Checking menus, suggesting ingredients—smart stuff.
Here’s the kicker: you don’t need some genius-level AI to make this work. Raza Habib from Humanloop puts it simply: “It’s just about solid software engineering, testing, and tweaking.” Makes sense. Keeping tasks narrow is smarter anyway. Big models screw up sometimes. Combine that with customer data? Risky business.
Some early uses of these agents are... meh. Like sending personalized sales emails. San Francisco’s plastered with billboards pushing “AI sales reps.” But Habib says they’re hit-or-miss. He’s drowning in so many sales messages, he can’t even tell if they’re human anymore.
Truth is, AI agents aren’t magic. They’re not gonna solve everything. They’re best at repetitive tasks where mistakes aren’t catastrophic. Think grunt work, not big decisions.
Matt Calkins, CEO of Appian Corporation, nails it.
“All this hype about ‘agentic AI’ is fantasy. AI shouldn’t be calling the shots. It should do small, focused tasks as part of a team.”
And you know what? That’s okay. Sometimes the best tech is the stuff quietly working in the background.
So, here’s the takeaway. Waiting for super-smart AI might mean missing out on what’s already here. Tools like Claire and Aileen? They’re practical. They’re helping businesses cut costs and boost efficiency. And they’re proving you don’t need PhD-level bots to make a difference. Just some smart software to get the job done.
AI Agents Are Coming for Your Digital Identity, Thanks to Sam Altman

Sam Altman’s been busy lately. Last week, the OpenAI CEO shook things up with the release of Operator, the company’s first AI agent. It’s a bot that can do its thing on the web—autonomously. Navigate sites. Click buttons. Fill forms. You name it.
But wait. Operator isn’t Altman’s only AI play.
He’s also got World. A web3 project with a bold idea—linking AI agents to real people’s digital identities. According to Tiago Sada, World’s chief product officer, this could let others verify that an agent is acting on your behalf. Crazy, right?
A research preview of Operator, an agent that can use its own browser to perform tasks for you.
— OpenAI (@OpenAI)
7:22 PM • Jan 23, 2025
Here’s how it works. World scans your eyeball with this shiny, sci-fi orb. Then, bam, you get a blockchain-based ID proving you’re human. It’s all about “proof of human.” Because let’s face it—soon, we won’t know if we’re talking to a person or a bot online.
But World’s no stranger to drama. It started as a crypto project, got banned in some places, and had to let Europeans delete their biometric data on request. Oh, and they dropped the “coin” from their name. Now, it’s all about verifying humans, not pushing crypto.
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Still, Sada insists linking AI agents to humans makes total sense. “Delegating your ‘proof of personhood’ to an agent? Super important,” he told TechCrunch. “Instead of just verifying people, you can verify agents representing real humans. That’s where World ID comes in.”
And there’s more. World’s tools could even license AI agents to act for you. Imagine managing a whole network of bots online—all tied to your digital identity. Sounds futuristic, but World says it’s essential for 2025.
OpenAI launched Operator, an AI agent that uses the web to complete everyday tasks
It uses 4o's vision with advanced reasoning and is available as part of ChatGPT's $200/mo Pro plan
OpenAI's first big step in the agentic era
— Brett Adcock (@adcock_brett)
5:03 PM • Jan 26, 2025
But not everyone’s on board yet. Sites like Cloudflare block bots left and right. Even OpenAI’s Operator ran into roadblocks, with some sites blocking it by default.
Sada thinks this will change. Why? Businesses want more customers. If bots using Operator bring in sales—like ordering hot dogs or groceries—companies will happily adapt. In fact, OpenAI’s already teamed up with Uber, Instacart, and DoorDash to let Operator work its magic on their platforms.
But there’s a catch. Letting in all bots? Bad idea. It could mean scams, DDOS attacks, and chaos. Sada says the solution is simple: limit bots to a few per person. That way, businesses stay safe while gaining new users.
Altman’s projects might seem all over the place. But step back, and it’s clear—he’s building a future centered around AI. His nuclear fusion company, Helion Energy, could power OpenAI’s data centers someday. Retro Biosciences? It’s using OpenAI’s tech to extend human life.
And World? It might be the glue. A tool to verify AI agents and build trust. Platforms are already lining up for OpenAI’s bots, and World could become essential in making this future work.
Love it or hate it, Altman’s shaping the next era of tech—one AI agent at a time.
Applied Labs Bags $4.2M to Supercharge AI Agents

Applied Labs’ CEO, Michael Woo, says we’re at a turning point with AI agents. The challenge? It’s not about picking the right large language model (LLM) anymore. It’s about figuring out how to actually use them in daily operations.
Businesses are hooked on AI now. Woo’s confident about that. The focus is shifting—less about the models and more about strategies to squeeze out the most value. “The bottleneck isn’t the model anymore,” he explained. “LLM quality, speed, and cost have hit a point where pretty much any business can save time, cut costs, and improve support and apps.”
The new hurdle? Woo says it’s in the “data, tools, and platforms” needed to get AI agents working smoothly on critical business tasks. It’s all about making deployment faster and easier.
Big backing
Woo shared these thoughts while announcing Applied Labs’ big milestone: $5.2 million in total funding. The company, just a year old, pulled in $4.2 million in its latest round. The round was led by VC firm Abstract, with support from Point72 Ventures, Outlander, and Tetra.
They’ve got some big names backing them too. Guillermo Rauch (Vercel CEO), Akshat Bubna (Modal CTO), and Ali Rowghani (ex-Twitter exec) are on board as angel investors.
Woo started Applied Labs in January 2024 with Soham Waychal. Both used to work for Scale AI, so they know their stuff. Now, they’re focused on building AI agents that are simple, reliable, and effective. These agents handle communications, workflows, and query orchestration—and even evaluate results.
A word of caution
Woo isn’t all hype, though. He warns that poorly planned AI strategies can lead to bad outcomes. Worse, it can hurt real care staff, who he insists should always be part of any automation plan. “You can’t replace the human element,” he emphasized.
With fresh funding in hand, Applied Labs plans to grow its team, with a big focus on hiring more engineers. For Woo and Waychal, this is just the beginning of making AI agents an everyday tool for businesses.
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So, what’s next? Push boundaries. Try something new. See what AI can do for you.
Until next time, keep chasing what’s possible.
Cheers,
The AgentsX.AI Team