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🚀 Free Trial: YUKTAAI for Ecommerce Businesses
YUKTAAI is an Agentic AI layer for websites designed to help businesses get more revenue and lead from the traffic they already have.
It can work like a 24/7 digital sales employee — helping visitors:
Find the right products faster
Get instant answers to product questions
Compare options and make decisions
Receive relevant product recommendations
Get support without waiting for a team member
Move toward purchase, enquiry, or the next best action
We’re also expanding YUKTAAI with behaviour-based intent detection, contextual nudges, AI search, voice, and Adaptive UI.
For selected ecommerce businesses, we’re offering a 30–45 day free trial.
If you run an ecommerce company, or if your employer, client, or someone in your network could benefit from this, I’d really appreciate an introduction.
Feel free to message me here or at my LinkedIn
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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There was a second problem. Every serious automation platform is someone else's cloud. If your data is sensitive, or your compliance rules keep it in-country, or you just don't want to hand your customer records to a vendor, your options run out fast.
What I built
AgentFlow10 is an AI agent and automation platform you can run on your own infrastructure. A visual builder lets you compose agents and multi-step workflows without writing code, connect them to the tools you already use, and deploy them where your data lives.
The design goal was to make AI agents something a small team can actually operate — not a research project requiring an ML engineer on staff.
What I did
I built and run it end to end: product direction, backend architecture, LLM orchestration, integration layer, the workflow engine, frontend, brand system, and go-to-market. Everything from the database schema to the landing page copy.
Notable pieces of engineering:
A workflow execution engine that handles branching, retries, and failure states — because an agent that dies silently mid-run is worse than no agent
LLM orchestration with prompt management and output validation, so results are structured and usable rather than free text
A self-hosting path that a non-specialist can actually deploy
Integration architecture designed for channels that matter outside Silicon Valley, including WhatsApp and mobile money flows
Why it matters for clients
This is the project I point to when someone asks whether I can build AI systems rather than just call an API. Running a platform means I've dealt with the parts that break in production — cost control, rate limits, non-deterministic model output, failure recovery. That experience is what I bring to client work.
Built with: Python, TypeScript, React, Next.js, Node.js, PostgreSQL, LLM APIs, Docker
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