An AI Agent without these components isn’t an "agent"—it’s a statue.
“Everyone talks about AI agents as the future of work”
But what actually makes an agent ....”WORK” to achieve a task assigned to it?
So, here are the 5 pillar/components that turns the “statue” into “Agents” -
1.LLM(Brain)
-Large Language Model, it’s the core intelligence of the Agent.
-It’s Generates responses, Understand Context in plain English
-As mentioned, this is the brain, meaning without it all other parts will be useless.
2.Prompting(Instruction)
- It means you are instructing the agent what and how to do the task and achieve the goal.
- It’s like you are instructing the new employee of your office what and how they are supposed to do their work.
3.Memory
- It stores the past interactions so each time agent knows and recall information what we were talking last time,what was the task assigned to it and it learn from the past interactions.
- Short term memory(context based) , Long term memory(knowledge base).
4. External Knowledge
- AI models like ChatGpt , Gemini are pre trained on a huge amount of data but you can train it more by providing your company’s pdf , spreadsheets etc to get the desired output.
- Without the external knowledge Agents are limited to the general information and could not perform specific Business tasks.
- Tools transform an Agent from just Chatting to being actually able to get things done by executing actions..
-It is giving access to your different softwares like Email,Calendar,CRM, to send an email,book an appointment , and update the database.
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6 comments
Harsh Singh
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An AI Agent without these components isn’t an "agent"—it’s a statue.
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