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AI voice agents designed as part of a broader agentic system—support, intake, routing, qualification, actions, and a clear human handoff when judgment is needed.
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Silpo is a big chain of modern supermarkets in Ukraine.
It is famous for its innovative approaches and next-level marketing.
I'm taking part in a challenge to develop a custom autonomous AI Agent for Silpo that will help Silpo's customers make grocery shopping easier.
In the image below, you can see a visualization of how this agent gonna work.
I'd love to hear: what would you like for such an agent to be capable of doing?
Wow, love it Siplo to next level!!!!
The most important feature in my AI agent is the button that says "No."
Every agent I ship now lands its decisions in a queue before anything executes. A human approves, edits, or overrides. Every call is logged, including the ones the human changed — that log is how you find out what the model actually believes.
Clients ask if this slows things down. It does, by seconds. It also turns "we tried an AI agent and turned it off after a week" into "it's been running for months."
Here's how the escalation, override loop and audit trail are built: https://contra.com/p/OegbPPFg-agent-ops-console-the-human-review-layer-for-ai-agents
AI Agent Development & n8n Workflow
I developed high-performance AI Agents integrated into complex enterprise workflows using n8n as the core orchestration engine. The system leverages webhooks for instant data ingestion, Qdrant Vector Stores for semantic memory, and LangChain for intelligent decision-making. Designed for scalability, the architecture uses sophisticated data pipelines and conditional logic to route outputs across Slack, Google Sheets, and Email, reducing manual overhead through precise prompt engineering and structured memory management.
Super impressive work
