Boost AI Troubleshooting Efficiency: Cut P0 Resolution Time

Boost AI Troubleshooting Efficiency: Cut P0 Resolution TimeBoost AI Troubleshooting Efficiency: Cut P0 Resolution Time

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Reiner Li

• 1d

Production AI Diagnostic Agent — P0 Resolution 4h → <1h

AI Agent Engineer Python

Reiner Li

• 1d

AI support agent for a crypto exchange: autonomous multi-step diagnosis across 190 microservices via agentic code exploration, curated pgvector knowledge base with human-gated golden cases, CI-gated eval pipeline (LLM-judge). Now handling ~500 tickets/month in production — support team went from 7 engineers to 3.

Daniel Flow

• Jul 5

I built a lead generation system in n8n that finds and verifies thousands of business emails in seconds.

Here's the full flow:

It scrapes every agency in any city you target. Extracts their website URLs. Filters out any fake or dead sites. Scrapes each website individually to pull the email. Verifies the email actually exists. Then logs everything into a clean Google Sheets database ready for cold outreach.

One click. Thousands of verified leads. Zero manual work.

I made a full step by step video showing exactly how I built this and I'm giving away the entire blueprint for free.

Comment LEADS below and I'll send you the link directly.

You can check it out on my Linkedln: https://www.linkedin.com/posts/daniel-oluwafikayomi-famuyiwa-268a2a3a6_aiautomation-leadgeneration-n8n-ugcPost-7479304675788464128-PLWj/?utm_source=share&utm_medium=member_android&rcm=ACoAAGN2vvAB9AIu8nnlNYz7k_RiYgGX2RDMEfo

AI Automation AI Agent Development Business Workflow Automation Gmail Google Sheets N8N aiautomation leadgeneration businessautomation

Jasper Rexford

pro

• Jul 8

Verification is the step most people skip, then their bounce rate torches the sending domain. What are you using for the verify pass?

Alla Pankovska

• Jul 4

🚀 Continuing my backend development journey.

Recently I've been focusing on building REST APIs with Python, Django REST Framework, PostgreSQL, Docker, Git, and Linux.

Every project helps me improve API design, database modeling, clean architecture, and maintainable backend code.

I'm continuously learning and looking forward to new backend development opportunities.

#Python #Django #BackendDevelopment

Python Django Backend Development

Vijay Rathod

• Jul 4

Smart Doctor Appointment & Reporting Assistant is an AI-powered healthcare platform that simplifies appointment booking and clinic management. It uses an autonomous AI agent with the Model Context Protocol (MCP) to schedule appointments, check doctor availability, and automate email confirmations through Google Calendar and Gmail integration. Patients can book appointments, view medical history, and interact with the AI assistant using natural language. Doctors can access analytics dashboards, patient records, and AI-generated clinic reports. Built with React, FastAPI, PostgreSQL, NVIDIA Llama 3, and MCP, the system delivers an intelligent, scalable, and user-friendly healthcare experience