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WhatsApp AI Chatbot & Order Automation System | n8n + Claude AI Agent
An n8n-based WhatsApp chatbot that handles customer conversations and order automation from start to finish, delivered as part of a completed 80-hour engagement rated 5.0 out of 5. Client feedback: "Very strategic and great to work with! Knows his stuff and communicates clearly."
The agent uses Claude to understand customer intent, hold context across a conversation, and take the correct action, capturing orders, answering frequently asked questions, and updating records, while every interaction is logged for review.
Built with the same reliability standard used across all of my automation work: input validation, structured AI output instead of raw free text, and error handling that catches failures instead of letting messages disappear silently.
Stack: n8n, Claude AI, WhatsApp, webhooks and API integration.
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🎰 6 POSTS AGO I ASKED: LUCK OR A PATTERN?
Well… apparently, a pattern.
Another Asol Design project was hand-picked by the Contra team.
Feature #7.
And this time it’s our AI Voice Notes App, another mobile product concept built around the same principle I keep pushing:
Great mobile design isn’t just about making screens look beautiful.
It’s about combining product thinking, user behavior, growth logic, and strong visual execution into one clear experience.
7 features later, I think the pattern is becoming pretty obvious. 👀
Thank you, Contra team, for noticing the work again.
More mobile product experiments, growth thinking, and probably a few more Contra features are coming. 👀
Next stop: #8?
#mobileappdesign #productdesign #uxdesign #uidesign #growthdesign #iosdesign #aidesign #figma #asol_design
Congrats 🎉
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!
TOP!
