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Gaurav Thakur

• Feb 9

LangGraph Invoice Agent — An end-to-end, graph-based AI agent using LangGraph to process natural language transaction inputs, extract structured data, and automatically update a SQLite ledger for invoice recording.

AI Automation LangChain Python SQL

Osama Latrache

• Mar 30

If I had to keep only two Custom AI Agents in my workspace, it's these two 👇

1️⃣ Post Converter: Every time I publish a newsletter, it reads the script, rewrites it as an X post, and creates a new page in my content database automatically. 20 minutes saved every single time

2️⃣ Daily Reporter: Euns every morning and gives me yesterday's tasks progress, my good and bad habits streaks one by one, actions I missed, and compares it to the same day last week. Everything is logged in a database, so I can always go back.

Both running every day. Both actually useful — not just cool to build 🔥

notioncustomagentbuildathon

Avro

• Mar 31

Wow, what app did you use to record/edit the video?

Aniket Ghavte

• Mar 30

AURA an AI native browser - which thinks and becomes your second brain fr..

Product Management Software Architecture Software Development Electron LlamaIndex Python

Korey Poggemoeller

• Mar 30

Senior Software Engineer & AI Automation

I designed and developed this AI-powered lead automation system as a Senior Software Engineer specializing in AI automation and workflow engineering. The system automatically monitors a lead database and triggers a processing pipeline whenever a new lead appears. It intelligently filters and qualifies leads based on predefined conditions, then uses AI to generate contextual messages and summaries. This automation eliminates manual lead handling, improves response speed, and ensures that only high-quality leads move through the workflow.

After the AI generates the message, the system formats and parses the content before automatically sending notifications to internal teams through communication channels such as Slack and email. The workflow then updates the database with the processed results, keeping all records synchronized. This project demonstrates my ability to build scalable automation systems that integrate databases, AI services, and communication platforms to create efficient, real-time business workflows.