All the buzz right now is around AI agents. But what are they anyway?
If you’ve been following AI news, you’ve probably noticed “agents” becoming the hot topic. Every company is launching one. Every thought leader is talking about them. But the explanations tend to be either too technical or too vague to be useful.
Here’s a quick explainer featuring our agent VERO:
Let me break it down simply.
The Brain Analogy
Think of large language models like ChatGPT and Gemini as the brain. A brain is great, but without a body, senses, and limbs it can only do so much.
When you take an LLM and give it tools, memory, access to other LLMs and agents, and the autonomy to act, you have an agent. Agents can be incredibly powerful partners.
That’s the core difference. A chatbot responds. An agent acts.
The Limitations of Basic LLMs
With a basic LLM, you manually enter data into a prompt window. The chatbot starts nearly fresh each conversation. You have to tell it who you are, what you want, how you work, where to find information, and what the finished product should look like. Every single time.
Enter too much context and it starts to forget what you really need. When you’re managing many different projects, clients, brands, and products, an LLM will only take you so far.
This is the ceiling most people hit. They try AI, get some value, but eventually feel like they’re fighting the tool more than collaborating with it.
What Makes an Agent Different
An agent has:
- Tools: The ability to search the web, query databases, call APIs, read files, execute code
- Memory: Context that persists across conversations, learning your preferences and history
- Autonomy: The capacity to break down tasks, make decisions, and take action without constant hand-holding
- Access: Connections to other systems, agents, and data sources
When you combine these capabilities, you get something that can actually partner with you on complex work. Not just answer questions, but do the research, analyze the data, draft the deliverable, and iterate based on feedback.
Beyond Agents: The Infrastructure Play
Our bet is agents are just the start. They are incredibly powerful tools, yes. But once you give them larger infrastructure, think of it as a virtual office filled with everything they need to collaborate and work, then you have something that can change the game completely.
This is what I’ve been building for over a decade. Not just using AI tools, but creating systems where AI can actually operate. The difference is enormous.
A single agent is useful. A team of specialized agents with shared memory, coordinated workflows, and access to your real business data? That’s a multiplier.
Meet VERO
We’ve been building our own agent called VERO. She’s designed specifically for marketing intelligence. She can analyze campaigns, pull data from ad platforms, research audiences, and help with strategic planning.
VERO isn’t just a chatbot with a marketing prompt. She has access to real tools, real data, and the autonomy to actually execute on tasks. That’s what makes the difference.
Learn more about VERO and what she can do.
Where This Is Going
The current wave of AI agents is exciting, but it’s early. Most “agents” today are still fairly limited. They can do one or two things well, but they struggle with complex, multi-step workflows.
The real opportunity isn’t in the agents themselves. It’s in the infrastructure you build around them. The tools themselves aren’t enough. What matters is creating an environment where agents can actually be effective.
That means:
- Data systems they can query
- Memory systems that persist knowledge
- Workflows that coordinate multiple agents
- Guardrails that keep them on track
This is what we’re building at Liberated Ventures. Not just agents, but the entire ecosystem that makes agents genuinely useful for marketing teams.
Getting Started
If you’re just starting to explore AI agents, here’s my advice: don’t get caught up in the hype. Manage the FOMO. Focus on understanding what agents can actually do today versus what’s still aspirational.
Start with a specific use case. Something narrow enough that you can see real results. Then expand from there.
And if you want to see what a purpose-built marketing agent looks like, check out VERO.