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CRM Data Automation
This workflow receives customer information through a webhook, processes the data with AI, updates business records, and sends team notifications automatically. It eliminates repetitive data entry and keeps customer information organized.
Tools: n8n • AI • Webhooks • Google Sheets • Slack
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Automating Lead Entry Saves Me Time
I recently worked on a project that involved automating the entry of new leads into our CRM system. The goal was to save time and reduce the likelihood of human error. To achieve this, I used n8n to create a workflow that would automatically create a new contact in HubSpot whenever a new lead was submitted through our form. I also used Google Sheets to store some additional information about each lead. The result is a more efficient and streamlined process for managing new leads.
#n8n #automation #Webhook #HTTPRequest
Follow for more: https://go.phonezait.de/
So I actually finished it. 🎬
This is the commercial I built for BiotechBeauty's BiomeBronze — no brief, no budget, no green light. Just wanted to see what their ad could look like.
Every shade, every texture, every detail — built from scratch.
If you're a brand and you're reading this... you know what to do. 👀
#UGC #AICommercial #BeautyAd #BiotechBeauty #ContentCreator #BrandPitch #CGI #ProductVideo
Beautiful work!
🚀 Case Study: Production-Grade Autonomous Lead Gen
Basic Zapier flows and fragile prompt chains break as soon as you scale. I recently replaced a client’s brittle setup with a stateful, type-safe Multi-Agent system that autonomously prospects, scores, and drafts outreach for B2B leads.
⚙️ The Stack:
LangGraph + PydanticAI + MCP (Model Context Protocol) + Claude 3.5 Sonnet
⚡ How It Works:
Stateful Orchestration (LangGraph): Manages execution with automatic checkpoints—if an external API fails, the workflow resumes without losing context.
Type-Safe Agents (PydanticAI): Enforces strict data schemas so outputs never hallucinate or break downstream code.
Native Integrations (MCP): Direct, secure read/write access to internal CRMs without messy webhooks.
📈 The ROI:
40+ hours/week saved on manual research and lead scoring.
100% data accuracy (zero JSON parsing errors).
Human-in-the-loop gating for final outreach approval.
💡 Need resilient, enterprise-ready AI infrastructure for your business? Check out my profile to book a Technical Audit & AI Automation Blueprint.
