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Built a Triple‑Agent AI Bot for Telegram
I finally gave up on the manual copy‑paste workflow for Telegram queries and built a tiny n8n pipeline. The flow starts with a Telegram Trigger, then forks into three Groq nodes – Analyst, Devil, Visionary – each getting its own prompt via JavaScript. Their outputs converge in a fourth Groq node (the Judge) that crafts a single answer. I push that back to the chat and also dump the record into Google Sheets for audit. The whole thing runs in a flash and cuts about ten minutes off every request. No fluff, just a clean stack that works for me.
#n8n #automation #TelegramTrigger #Groqx4
Follow for more: https://go.phonezait.de/
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Just wrapped up another AI automation workflow 🚀
This one is an AI-powered Resume Screening Automation built to streamline the recruitment process.
The workflow:
📄 Receive resume via webhook
→ Extract text from the PDF
→ Use AI to extract candidate data
→ Evaluate and score the candidate
→ Store candidate data
→ Automatically shortlist top candidates
→ Notify the recruiter via email
→ Move qualified candidates to the next stage or keep them in the talent pool
→ Send updates to Slack
The goal was simple: reduce manual screening and help recruiters focus on the best candidates faster.
I enjoy building practical AI automations that connect AI models with real business workflows, APIs, databases, email, and communication tools.
If you're looking to automate repetitive processes using AI, n8n, APIs, OpenAI, or custom workflows, feel free to connect with me.
#AI #AIAutomation #Automation #n8n #OpenAI #ArtificialIntelligence #RecruitmentAutomation #HRTech #WorkflowAutomation #BusinessAutomation #NoCode #AITools
Built an AI-powered email automation workflow for SugarBliss Bakes using n8n. The workflow helps manage customer emails, identify and organize messages, and automate responses for bakery orders and customer inquiries.
This is the difference between automation and an AI agent. 🤖
A traditional automation says:
“When X happens → do A → then B → then C.”
It’s predictable, reliable, and perfect for repetitive processes. But what happens when the next step isn’t always the same? That’s where an AI agent comes in.
Instead of following one fixed path, an agent can:
→ Understand the goal
→ Analyze the situation
→ Decide what information it needs
→ Choose the right tool
→ Take an action
→ Check the result
→ Decide what to do next
For example, imagine a lead-generation workflow in n8n.
Traditional automation:
New lead → Scrape website → Find email → Add to CRM → Send email
Every lead follows the same path.
Agentic workflow:
New lead → AI Agent
The agent decides:
🔎 Does this company fit the target profile?
🌐 Should I research the website further?
📊 Is there enough information to qualify the lead?
✉️ Should I generate a personalized message?
⚠️ Is human approval needed before outreach?
The workflow becomes goal-driven instead of purely step-driven.
And this doesn't mean replacing automation.
The most powerful systems combine both:
n8n handles the reliable execution.
AI handles decisions where the path isn't always predictable.
That’s what makes an agentic workflow different from simply adding ChatGPT to an automation.
The future isn't: Automation OR AI
It's: Automation + AI agents + the right tools.
Great visual! "Automation does the work, AI agent decides the work" is probably the clearest way to explain this shift to clients.
