What started as a demo is now almost production ready, let me walk you through it: I built this for a Imaginary Tech company called 'Gadgets & More Electronics' (Yeah I know name is not sounding like name) First of all the workflows, There are actually Two workflows: 1.The first one is for document ingestion. Where I have converted the FAQs & The policy pdf into chunks & uploaded them into Pinecone vector database. 2.The second one is our Support Gmail agent. Now let's talk about it what it does:- ~It checks for new emails every 15 minutes, takes only unread emails ,newer than 10 minutes. ~Then it detects whether the emails are automated or not, if it is Automated then workflow will stop but if it is not automated it will continue ahead. ~Then it extracts the customer's name from the emails to make it personalized to them. ~Then it will classify the query or emails whether it is Support relevant or not if not the workflow will stop right there but if it is then the workflow will proceed ahead. ~Then comes our support Agent which has our Pinecone vector database as a tool where our policy and FAQs are stored, it knows how to handle each topic, Personalization ,Tone and brand voice ,Output formats, rules, Confidence scores based on the retrieval of data. ~Then there is Agent response checker which will see whether The agent actually found the policy or not? because sometimes you know how Agent make up and hallucinate. ~If the policy found it will create a draft so that a human can review and send it and if it does not found the policy it will create a fallback draft. This is the entire workflow, will drop demo videos today. let me know whether we can add some new features,or add some more guardrails......Just let me know i am welcoming all thoughts and perspective. Harsh Singh

These are the layers where players from the Biggest to the smallest are betting, AI is a 5 layer Cake (As said by Jensen Huang) :- 1. Energy (Base Layer) -To run these Entire Ai Data Centers there is a massive amount of power required. -This is where Big players are investing, In India Reliance Industries , Adani Group are doing it. 2.Chips -The Power is converted into compute using specialized Processing hardware ( like the chips designed by NVIDIA). 3.Infrastructure -The Hyperscale cloud services and network systems that tie massive amounts of hardware together. -This allows data centers to operate seamlessly as global computing platforms. 4.Models - This Includes the LLMs and foundation models developed by organizations(like OpenAI, Anthropic , Google) that process unstructured data. -These are where the Technical people exists includes fine tuning and training of LLMs. 5.Applications (Top Layer) -This is the layer where we can integrate and customize the AI into specific industries to deliver real world values. -To make them more money, save their time, cut their costs. P.s - If you want to transform your Business Using AI then your AI Transformation Partner Harsh Singh is waiting for you.( Sorry for a bit of self promotion 😀)

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Looking to connect with founders or builders who need someone to help sell or communicate their product. I have 9 years in B2B marketing and I’m comfortable on calls, in demos, and in front of prospects. I understand technical products well enough to speak to them but my real strength is translating what you built into something a customer actually connects with. Looking for part time work that could grow into something more. If you have a product you believe in and need someone with good energy to help close deals or represent it to customers I’d love to hear about it.