PROBLEM:
client business was doing good but customers felt stuck about the general information like product availability, business timings,orders and appointments which resulted in confusion and thus loosing a customer. there was a live support but it was not available all the time and and when available it was frequently busy
SOLUTION:
I built an rag-agent (chat-bot) for this business which was particularly trained for that specific business which answered the queries of customer efficiently and round the clock . This prevented the confusion and gave the customers the feeling of being understood. If they had any query they simply texted the telegram agent and get their answers
RESULTS:
The live support manual work was replaced with the chat-bot which is available round the clock. This saved business hours of work , boosted sales and happy customers.
Note: client wanted it to be integrated it with telegram while other options like integrations with website , apps and whatsapp are also available
Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
Many today fear losing their jobs and businesses because of the rise of artificial intelligence. This is, of course, a justified fear that many people have. A machine that can generate long pieces of text in minutes, that can create incredible images and videos, that can generate code and translate discourses in over 150 languages.
Who hasn't thought of the possibility of AI replacing many of us, i.e., taking our jobs?
But there is a real-life example that shows why AI is unreliable and why humans will always be needed, even with the dawn of such interesting technology.
When AI Decieves Hundreds of People
A couple of days ago, hundreds of people landed in the city of Jurilovca, in Southeast Romania. There, many believe, was an annual fish festival, where people could listen to good music, drink wine, and, of course, eat fish.
However, things turn out completely wrong. There was no festival in this city, and nobody had ever planned for one in this city. The mayor did not know about it, not even the town's drunk.
So how did we end in such a situation?
The Failure of AI
The people who arrived in the city of Jurilovca were taken there by various travelling agencies. These agencies got the information that a fish festival would be held in the city from ChatGPT.
Yes, because ChatGPT told them that there will be a fish festival in that city, and many of these professionals in the tourism industry organized trips there without even verifying whether the information is correct or not. In other words, they entrusted ChatGPT, an LLM.
The Moral of the Story
ChatGPT is only a tool that can help you speed up certain tasks and be a helpful companion in research. However, it can never replace a human. Just like some people were fooled about a so-called fish festival in a small Romanian city, others might
- get pieces of code full of errors
- receive bad translations from one language to another
- craft articles full of misinformation and nonsense
- make plans that don't rise to the expectations
No matter how you put it, it is never a good idea to put your trust in AI blindly and completely.
Overview:- This project focuses on redesigning a complex desktop form into a simple, mobile-first experience for faster onboarding.
Problem:- The original form was long, cluttered, and hard to complete—especially on mobile. Users faced too many inputs at once, leading to confusion and drop-offs.
Goal:-
Create a smooth and intuitive flow that: Reduces friction, Speeds up completion, Works seamlessly on mobile
Solution:- I transformed the long form into a step-by-step flow: Broke the process into smaller, focused screens, Simplified inputs and grouped related fields, Added clear hierarchy and guidance, Designed for mobile-first usability
Result:- Faster and easier onboarding, Reduced cognitive load, Cleaner and more scalable experience.