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Evaluated 60 multi-turn conversations from a retail support AI to track context retention, persona consistency, and task completion across longer exchanges. Found that context drops clustered around the third and fourth turn, pointing to a memory window limitation rather than random failures, and flagged each instance with the exact turn where context broke down.
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Every new AI chat used to start the same way.
I explained the business again.
Clients. Prices. Decisions.
What it could do without asking me.
So I put the business in a folder of plain text files the assistant can read.
Memory. Clients. Decisions. Invoices. Daily log.
And the rules for what it is not allowed to do.
I run Kratos Labs (my company) out of that folder.
The public template is Operator OS.
I installed it twice for other people.
One of them, @Atashka (left a review on my profile) used to spend around 6 hours/week pulling briefs, notes and feedback into project requirements.
Now it's about 1 hour.
He says that's roughly 20 hours back each month.
I don't start the morning by explaining the company again.
The folder already has it.
If this is something that you want for yourself - send me a message.
This system goes beyond a basic chatbot. It can answer FAQs and product questions, retrieve real order and inventory information, and assist with workflows such as order tracking, returns, refunds, and cancellations.
Sensitive actions are protected with identity checks, configurable limits, approval workflows, and human handoff.
Built with a customer-facing chat widget, AI/RAG backend, Shopify integration, and merchant dashboard.
Merci pour cette présentation. Le projet est très intéressant, notamment parce qu’il ne se limite pas à un simple chatbot, mais intègre de véritables actions et processus métier.
J’apprécie particulièrement l’approche qui combine IA/RAG, intégration Shopify et intervention...
VOXAA - Sales CRM AI Call Center Dashboard
AI voice products aren't only about making conversations happen.
They're also about helping teams understand what happens before, during, and after every conversation.
VOXAA explores that experience through a unified AI call-center dashboard.
The product combines:
• Incoming call analytics
• AI-handled conversations
• Human escalation
• Peak-hour monitoring
• AI agent performance
• Resolution metrics
• Real-time customer conversations
The design challenge was to create a system that feels intelligent without being complicated.
Clean hierarchy, soft visual surfaces, focused data visualization, and a real-time conversation panel keep the experience operational but approachable.
This is the kind of product where UX becomes the bridge between complex AI capabilities and everyday business operations.
Building an AI SaaS, voice agent, dashboard, or customer-support platform? Taqwah can design the product experience from UX architecture to polished UI and scalable design systems.
Start your project with us.
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