The bigbox.bot runs on Agentic Artificial Intelligence. To learn what Agentic AI is, let’s ask three of the most famous Generative AI platforms: Gemini, Claude and ChatGPT.
What is Agentic AI? (28/07/2026)
Google Gemini
Agentic AI refers to artificial intelligence systems designed to act as autonomous or semi-autonomous “agents”.
Unlike traditional generative AI (which waits for a prompt, answers your question, and stops), agentic AI is goal-driven. You give it an outcome you want to achieve, and the system works proactively to break down the task, create a plan, execute the steps, and adapt if something goes wrong—all with minimal human supervision.
Anthropic Claude
Agentic AI refers to AI systems that can pursue goals with a degree of autonomy—planning multi-step tasks, making decisions, using tools, and adapting their approach based on results, rather than just responding to a single prompt with a single output.
Here’s a breakdown of what makes AI “agentic”:
Core characteristics
- Goal-directed behavior: Instead of “answer this question,” it’s “accomplish this outcome,” which might require many steps.
- Planning: The system breaks a task into subtasks and sequences them, often adjusting the plan as it goes.
- Tool use: It can call external tools—search engines, code interpreters, APIs, databases—to gather information or take action, not just generate text.
- Iteration and feedback loops: It evaluates the results of its own actions and course-corrects, rather than producing one static response.
- Limited autonomy: It operates with less step-by-step human guidance than a typical chatbot interaction, sometimes running for extended periods on a task.
A simple contrast
- Traditional/conversational AI: You ask a question, it answers. One turn, no independent action.
- Agentic AI: You give it an objective (“book me a flight under $400 next weekend” or “fix this bug in my codebase”), and it figures out the steps, executes them using available tools, checks its work, and reports back—possibly asking for approval at key decision points.
Open AI ChatGPT
Agentic AI refers to AI systems that can independently pursue goals by planning, making decisions, using tools, and adapting based on results—not just responding to a single prompt.
Think of it as the difference between:
- Traditional AI chatbot: “Write me an email.”
- Agentic AI: “Find the client’s contact information, draft a personalized email, check it for errors, schedule it to send tomorrow, and tell me when it’s done.”
The key difference is that an agentic AI takes multiple steps toward achieving an objective.
Core characteristics
An agentic AI typically can:
- Understand a goal rather than just a single instruction.
- Plan the steps needed to achieve that goal.
- Take actions, such as searching the web, using APIs, writing code, or interacting with software.
- Evaluate results and determine whether the goal has been met.
- Adjust its plan if something doesn’t work.