Understanding the Gap
Most AI chatbots like ChatGPT, Gemini, Claude use Generative AI to provide responses based on a single prompt given by the user. A person asks something and the chatbot uses NLP to reply.
When experiencing this kind of interface for the first time, it felt overwhelming to us but the next step of artificial intelligence is Agentic AI.
Problems with the standard AI chatbots
Chatbots only respond to user prompts i.e they don’t take initiatives and decisions. This is called as Passive Interaction.
Chatbots are limited to chat interface and hence cannot directly interact with apps, files, or external systems or make API calls.
It requires constant user supervision and can’t adapt to changing conditions or unexpected obstacles (relies heavily on the user).
Comes Agentic AI into play
In simple terms think of it as a "real" agent, like a person who will do some work assigned by you on behalf of you. And yes you've given it a certain level of autonomy to make decisions.
Example : Say, you want to book hotels for your trip, not only that but first compare the amenities, ratings and the price, then finally make a call (book the rooms, pays the sum). Traditionally this whole work (or workflow) is expected done by a "Travel Agent", especially when you are short on time and want minimal effort. This is exactly what Agentic AI does, it simply automates tasks for you in a step by step fashion.
But how does it work ?
Agentic AI uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. And it’s set to enhance productivity and operations across industries.
An AI agent for customer service, for instance, could operate beyond simple question answering. It can make calls on behalf of your company reducing mannual work.
Components and their co-ordination
Broadly, any Agentic AI's backend can be broken into 5 key components, they are :
User Provides a Goal
e.g., “Find top 5 vendors for office supplies under $500 and draft an order email.”Task Decomposition (Goal Planner)
Agent decomposes into:
Research vendors.
Compare prices & features.
Draft order email.
Get approval.
Send email.
Dynamic Planning & Execution
Uses a Reasoning Engine (could be rule-based, LLM-powered, or hybrid) to:
Decide sequence.
Determine which tools/APIs to invoke (Google Search API, Email API, CRM API, etc.).
Handle multi-step workflows.
Autonomous API Calls & Tool Invocations (Action Executors)
Agent interacts with real-world systems:
Fetches data via API.
Processes information.
Creates documents, fills forms, sends emails—all without human micromanagement.
Memory & Context Awareness
Maintains state across actions:
Tracks progress.
Remembers user constraints (e.g., "budget under $500").
Adjusts if tasks fail (e.g., retries different vendors).
Feedback Loop & Self-Reflection
After each action:
Evaluates success (did API return expected data?).
If failed → modifies approach.
If succeeded → proceeds to next step.
Some really cool Agentic AIs that are solving real world problems
1. Moveworks — Enterprise support automation
Automates IT, HR, finance ticket resolution and workflows across Slack, Teams, etc.
moveworks.com
2. Devin AI (by Cognition Labs) — Autonomous coding assistant
Plans, writes, debugs, and submits code autonomously within dev workflows.
Website: devin.ai
3. AutoGPT — Open‑source autonomous task executor
Takes a natural-language goal, breaks into subtasks, executes via internet/tools.
Website: agpt.co
4. Google Project Mariner — Browser‑based task agent
Navigates websites, fills forms, automates shopping and information retrieval.
Website: (DeepMind/Google Mariner)
5. Rewind AI — Personal memory‑recall assistant
Records and recalls on‑screen activity to provide task suggestions or summaries.
Website: rewind.ai
That’s all for now!
Hope I was able to deliver some valuable insights (or at least my thoughts) on Agentic AI and how it’s shaping the future (not taking over the world… kidding 😄).
Go ahead and check out these amazing Agentic AI tools.
Also, would you like me to suggest some of the best resources to learn AI/ML?
Comment below to let me know!
I’ll take your leave now.
