“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. 5.Tools - 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.

Hello Everyone , I am learning and Building About Ai, Automation, Agents, RAG for the past few months here are some projects:- 1.Lead Qualifier + Appointment Booking System 2.Sales Copilot -Conversational Agent (That scrapes prospect's LinkedIn , Website and give you insights how you can genuinely help them with your product & Services). 3.A RAG Agents that stores your data and respond to queries automatically related to that and much more........ currently working on D2C Customer Support agent this will save an ecommerce brand 4+ hours per day it will Include RAG , different subworkflows like if a customer want his order status then it will fetch Order data from shopify through HTTP request , if they have any product related query RAG agent will go to the stored database and answer them in a relevant way and much more. I am currently building MVP i will share it also as soon as i built it so yeah more than happy if anyone can give their feedback in exchange for my help. My work philosophy is simple i work until My client is Happy. That's it Thanks a lot

Most creators already have the answers they’re looking for.They’re just buried inside Instagram comments. So I built an Instagram Reels Comment Analyzer that does one thing really well: 👉 Turns raw comments into clear, actionable insights. What it helps with: - Understand what your audience actually wants - Spot repeated pain points & requests - Get content ideas directly from comments - Do lightweight competitor research - Discover potential product or offer ideas No guessing. No “what should I post next?” anxiety. How it works (simple):Comments → AI analysis → structured insightsFully automated. 🤝 Free access I’m sharing this FREE with a few creators/builders here to: - Get feedback - Improve the system - Help creators make data-driven decisions If you want to try it, just comment “Analyzer” belowor DM me — I’ll share the details. Building in public.Shipping useful systems.Let’s win smarter 🧠⚡