What is Agentic & How It May Benefit You
Agentic AI is an advanced type of artificial intelligence that can think, plan, and act on its own to complete tasks. Unlike regular AI that waits for commands, agentic AI sets goals, breaks them into steps, makes decisions, and takes action—like managing a blog, applying for jobs, or running a YouTube channel. It’s like having a smart digital assistant that works independently to get things done.
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Agentic is a step forward with these chatbots as they possess to behave like an agent meaning it can think, plan and act accordingly to reach to a specific goal.
Instead of answering to question like what chatgpt, deepseek and Gemini does, agentic AI can decide what necessary steps to take and solve unexpected problem on it’s own.
How did it Start?
Agentic AI comes from AI early development
· Early AI could only follow exact instructions.
· Then came machine learning, where AI could learn patterns.
· Now, LLMs (like GPT) can understand and generate language well.
· Agentic AI is the next step — where these models become more autonomous (able to work on their own), acting like digital workers or assistants.
Key Features of Agentic AI:
· Goal-driven: You give it a goal (e.g., "write a research paper"), and it figures out how to do it.
· Planning: It breaks the task into smaller steps.
· Decision-making: It chooses what to do next without needing help.
· Memory: It can remember what it’s done and learn from it.
· Tool use: It can use software tools like a human would (e.g., using Google, coding tools, spreadsheets).
How can Agentic AI be used? (With Easy Examples):
Example 4: Job Hunting
Normal AI:
You ask: “Write me a resume.”
It gives you a resume based on your info.
Agentic AI:
You say: “Help me get a job in digital marketing.”
It Builds a strong resume and cover letter.
It Searches job boards for open roles.
It Automatically applies to selected jobs.
It Prepares answers for likely interview questions.
It Tracks where you applied and gives follow-up suggestions.
It Suggests networking strategies on LinkedIn.
Real-world Tools Using Agentic AI
AutoGPT and BabyAGI: Open-source projects that show how LLMs can act as agents.
Devin (by Cognition): An agentic AI that can code by itself like a software engineer.
LangChain: A tool that helps developers build agent-like applications using language models.
ChatGPT with memory (like Pro version): Starts to act more agentic by remembering user info and goals.
Challenges and Considerations
Trust and Control: Since it acts on its own, how do we make sure it doesn’t make bad choices?
Ethics: What if it’s used for harmful tasks?
Debugging: Hard to trace why it did something if it plans on its own.