In a modern episode of the Promotion, Advertising and Marketing podcast Towards the Grain, HubSpot founder and CTO Dharmesh Shah sat down with hosts Kipp Bodnar and Kieran Flanagan to talk about pushing AI agents to the top.
After hearing the term “AI agents,” I thought of little robots slinking around like spies, completing tasks for marketers.
Of course, this is not entirely true (they are not worn), on the other hand they are very useful for marketers and are expected to give an excellent boost to their efficiency and productivity.
AI agents are the most recent AI developments to carve out in gross sales and promotion, on the other hand do they come at a price? Let’s get into probably the most important issues covered during the episode:
What is an AI agent?
Consistent with Shah, an AI agent is software that uses artificial intelligence to perform a service in multiple stages.
“There are many definitions of what an AI agent is, to be honest,” he says. “There is a range of purposes. You will have fairly simple agents and sophisticated agents solving problems and multi-agent reasoning.
On the other hand, whether or not we are talking about simple AI agents or more complex agents, the main characteristic is their ability to achieve multi-step goals that require different functions. Consistent with Shah, this feature separates them from AI tools similar to ChatGPT.
Remember it this way: After using an AI device like ChaGPT, this is a simple back and forth interaction. I make a request and the chatbot responds.
“Whereas with an agent, you are giving it the following service order, and it will have to invoke Language Modeling (LM) or some LM and use other AI tools and a couple of ancient tools to come together independently to serve as you wish to accomplish.
A simple approach to consider is that AI agents represent the next era of automation tools to simplify the promotion of workflows and tasks.
When to use AI agents
So, when should you employ an AI agent instead of a regular AI device like a chatbot? To be honest, this is what I look for most interestingly regarding the podcast’s discussion of AI agents.
When we remember artificial intelligence, it is difficult to banish the concept that it (fear) can convert other people. However, Shah explains that an AI agent is very useful when a human is needed to initiate the obligation, on the other hand many steps may require human intervention.
For example, let’s say a small industrial business owner needs to track leads in their CRM using ChatGPT. They can connect buyer wisdom to ChatGPT to visualize what the chatbot generates.
However, in the tournament where they want to take issues to the next level, they can use an AI agent to pass them the latest business numbers added to the CRM for behavioral research.
They could then write down rules for how they would like the main writing to happen.
“All this is imaginable with the latest generation and AI agents,” says Shah.
Essentially, AI agents should be used when “you figure out what to do manually, and it’s okay to do it manually, but on the other hand you want to have to automate some of those steps instead of having to try to do those kinds of things.” one shot with ChatGPT”, keeping up with Shah.
AI Agents in the content material subject Promotion, Advertising and Marketing
For those who are content creators and marketers like him, perhaps you’re interested in how AI agents can help across the realm of content promotion, similar to the growing topics of blog content, social posts media, film and graphics.
So far I have argued that marketers should remember AI as a digital assistant. If so (and it is), remember AI agents as your digital group of workers.
“The really interesting thing about these agents is that they can actually use each other,” Shah explains.
Shah cites as an example generative AI tools and wanting images generated for what you’re promoting to persist with a style and color palette specific to your brand.
“So, I created an agent called Color Palette Extractor,” he says. “This can be a pretty simple agent. All you do is provide it with your home web page or any internet web page. It will take a screenshot of that internet page, find out what colors are being used, and provide you with a palette proportional to the proportion of exact effects that color has taken.
Simply put, the AI agent will generate a color palette based totally on the web page you powered.
You will then take the color palette produced by the agent and move it to a couple of different agents that can incorporate that palette to generate images or other content material topics.
“So it’s about composing two agents who knew nothing about each other until you glued them together in a creative way,” he says.
From there, you’ll take the image and run it through a LinkedIn post generator, incorporating the results from the previous two agents. This is 3 agents working together as a group of workers to generate content topics for what you are promoting.
Problems with AI agents
Paying attention to the podcast, Shah, Bodnar and Flanagan’s enthusiasm for the possibilities offered by the use of AI agents was once no longer imaginable to forget.
The Shan event mentions a longer term in which AI agents could be treated almost like a group of paid workers and a natural part of promotion teams.
“One day, agents will have a salary that is, say, $2.00 a month, or without reference to the price of the commission,” he says.
While I mentioned earlier that individuals are still sought after when using AI agents, there are issues about what serving a human might simply look like if we’re talking about groups of AI agents.
For my part, I imagine one explanation will also be that human marketers will still be an integral part of the marketing process even with the addition of AI agents, they simply need to broaden their capabilities and believe that a supervisory role servant.
Believe us: even the most productive teams need a leader and a supervisor.
Jeremy Kahn, AI editor at Fortune Magazine, seems to share my sentiment in an interview with Fortunate Magazine.
“We need to redefine human roles, specializing in higher-level skills to supervise techniques. I look forward to having other people supervise some AI techniques at the same time, acting as a guide and judge of the results of those techniques,” says Kahn.
So, are AI agents definitely worth the investment?
I imagine that any technological advancement that can streamline processes, free up time for marketers, and keep their companies competitive is definitely worth the investment. However, with great trends in AI comes great responsibility.
In almost every post I’ve written about AI (and I’ve written so much), I’ve discussed the fact that the best AI practices imaginable include observing, testing, and adding a human touch to every output generated by artificial intelligence. . And this is not compatible with the use of AI agents.
Truth be told, I imagine it’s much more important to supervise your group of workers than agents and AI tools due to the additional machines involved that approach other cooks throughout the kitchen.
So, positive, look into AI agents and discover the ways in which they can make your lifestyle easier as a marketer or entrepreneur. Just remember to supervise your group of workers or agents.
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