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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 9h

Everyone should know how Agentic AI really works. Iโ€™ve explained it in a simple way below. 1. ๐—จ๐˜€๐—ฒ๐—ฟ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ณ๐—ฎ๐—ฐ๐—ฒ (๐—™๐—ฟ๐—ผ๐—ป๐˜๐—ฒ๐—ป๐—ฑ) Everything begins with the ๐—จ๐˜€๐—ฒ๐—ฟ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ณ๐—ฎ๐—ฐ๐—ฒ. โ€ข Users type a message or give a task โ€ข This happens inside a website, app, or chat UI The frontend is where humans talk to AI. 2. ๐—ฅ๐—ฒ๐—พ๐˜‚๐—ฒ๐˜€๐˜ โ†’ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฅ๐˜‚๐—ป๐˜๐—ถ๐—บ๐—ฒ The frontend sends the request to the ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฅ๐˜‚๐—ป๐˜๐—ถ๐—บ๐—ฒ. โ€ข This is where the agent starts working โ€ข The request is no longer just text, it becomes a task Think of this as sending a job to the AI assistant. 3. ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ (๐—ง๐—ต๐—ฒ ๐—ข๐—ฟ๐—ฐ๐—ต๐—ฒ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ผ๐—ฟ) The ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ is the central controller. It: โ€ข Understands the request โ€ข Breaks the task into steps โ€ข Decides what resources are needed โ€ข Manages the full workflow The agent doesnโ€™t just answer, it ๐—ฝ๐—น๐—ฎ๐—ป๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฒ๐˜…๐—ฒ๐—ฐ๐˜‚๐˜๐—ฒ๐˜€. 4. ๐—”๐—œ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น (๐—ง๐—ต๐—ถ๐—ป๐—ธ๐—ถ๐—ป๐—ด ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ) The agent sends ๐—ถ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฟ๐—ฒ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐˜€ to the AI model. The model helps with: โ€ข Reasoning โ€ข Writing โ€ข Summarizing โ€ข Decision-making The model returns ๐—ถ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฟ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ฒ๐˜€ back to the agent. 5. ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† (๐—–๐—ผ๐—ป๐˜๐—ฒ๐˜…๐˜ + ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด) The agent connects to ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜†. ๐—ฎ) ๐—ฆ๐—ต๐—ผ๐—ฟ๐˜-๐˜๐—ฒ๐—ฟ๐—บ ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† โ€ข Holds current conversation context โ€ข Tracks task progress ๐—ฏ) ๐—Ÿ๐—ผ๐—ป๐—ด-๐˜๐—ฒ๐—ฟ๐—บ ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† โ€ข Stores knowledge across sessions โ€ข Remembers preferences and history Memory makes the agent ๐—ฐ๐—ผ๐—ป๐˜€๐—ถ๐˜€๐˜๐—ฒ๐—ป๐˜ ๐—ฎ๐—ป๐—ฑ ๐—ฝ๐—ฒ๐—ฟ๐˜€๐—ผ๐—ป๐—ฎ๐—น๐—ถ๐˜‡๐—ฒ๐—ฑ. 6. ๐—ง๐—ผ๐—ผ๐—น๐˜€ (๐—ฅ๐—ฒ๐—ฎ๐—น-๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—”๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€) When tasks need external help, the agent uses ๐—ง๐—ผ๐—ผ๐—น๐˜€. Examples: ๐—ฎ) ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ๐˜€ โ†’ fetch stored data ๐—ฏ) ๐—”๐—ฃ๐—œ๐˜€ โ†’ interact with services ๐—ฐ) ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ๐˜€ โ†’ run workflows ๐—ฑ) ๐—™๐—ถ๐—น๐—ฒ๐˜€ โ†’ read/write documents Tools allow the agent to ๐˜๐—ฎ๐—ธ๐—ฒ ๐—ฎ๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€, not just chat. 7. ๐—–๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐˜๐—ผ๐—ฐ๐—ผ๐—น The agent needs a way to talk to tools and systems. โ€ข This layer handles how data flows โ€ข Ensures everything connects smoothly 8. ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—–๐—ผ๐—บ๐—ฏ๐—ถ๐—ป๐—ฒ๐˜€ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜†๐˜๐—ต๐—ถ๐—ป๐—ด The agent now has: โ€ข Model reasoning โ€ข Memory context โ€ข Tool results It combines everything to prepare the final output. 9. ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ฒ โ†’ ๐—™๐—ฟ๐—ผ๐—ป๐˜๐—ฒ๐—ป๐—ฑ The final answer is sent back to the app or website. โ€ข The user sees the result โ€ข The conversation can continue 10. ๐—•๐—ฎ๐—ฐ๐—ธ ๐˜๐—ผ ๐—จ๐˜€๐—ฒ๐—ฟ (๐—Ÿ๐—ผ๐—ผ๐—ฝ) The user receives the response. โ€ข New questions start the loop again โ€ข Memory keeps improving future interactions This is the full flow of modern Agentic AI systems. Very important for everyone to understand these basics. โœ… Repost for others in your network so they can understand this.

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