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Designed and deployed a production-grade multi-agent system on n8n to automate customer interactions via WhatsApp. The architecture features a central "Intent Classifier" (Gatekeeper) that evaluates user sentiment and purpose in real-time. It intelligently routes traffic to specialized sub-agents: a Sales Brain (utilizing RAG to query dynamic pricing from PDF knowledge bases) and a Support Brain (fetching technical documentation via Pinecone). The system includes safety guardrails for anger detection, automatically triggering Telegram alerts for human escalation when needed.
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What if every new lead could be handled before you even open your inbox? ⚡
This AI-powered workflow turns a new email inquiry into a structured, ready-to-handle lead — automatically.
A new inquiry arrives → AI extracts the important details → Airtable/CRM is updated → the response goes through optional human approval → a personalized email is sent → Notion is updated → the team gets notified in Slack → performance data is collected for reporting.
The goal isn't to remove people from the process. It's to remove the repetitive work around them.
This type of workflow can be customized for B2B companies, SaaS businesses, agencies, real estate, e-commerce, recruitment, consulting, customer support, healthcare, finance, education, and other service businesses.
Already know what you want to automate? → Send me your current workflow and I’ll map out how we can automate it.
Still doing repetitive work manually? → Tell me the task that consumes your team’s time, and I’ll help identify what can be automated.
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I'd use the human approval step to capture corrections, not just a yes/no decision. If a reviewer changes the extracted lead details, does the workflow update Airtable and the reporting record before sending the email?
I built an AI voice ordering workflow to help a restaurant capture customer orders and pass them to the kitchen with less manual work.
Using Vapi, I configured a voice assistant with the restaurant’s menu and prices to collect customer details and orders. After each call, a webhook triggers an n8n workflow, where OpenAI extracts the order into structured data. The workflow then notifies the kitchen and logs the order in Google Sheets.
I handled the voice assistant setup, webhook integration, AI prompts, and workflow implementation. The solution reduced manual order entry and made order information easier for the kitchen to access.
Tools: Vapi, n8n, OpenAI, Google Sheets, and webhooks.
Having the assistant feed orders straight into the kitchen cuts the manual handoff. The call transcript in Sheets also gives a clear audit trail.
Designed and developed a comprehensive AI-powered automation system using n8n, connecting multiple services and APIs to automate business processes from end to end.
The workflow includes data processing, conditional logic, API integrations, AI-powered operations, automated decision-making, and multi-step task execution. Different branches handle specific processes while ensuring that data is correctly processed and routed to the appropriate action.
The goal of the system is to reduce repetitive manual work, improve operational efficiency, and create a scalable automated workflow that can integrate with existing business tools and services.
Technologies: n8n · AI Agents · APIs · Webhooks · HTTP Requests · Data Processing · Automation · Conditional Logic
