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An intelligent, multi-agent productivity system built to seamlessly categorize and track daily inputs. Using a central AI manager, this workflow automatically routes user messages to specialized sub-agents (Task, Note, or Reminder). The system leverages lightning-fast Groq (Llama 3) models to extract key details—like due dates, priorities, and topics—and logs them directly into organized Google Sheets.
Tech Stack: n8n, LangChain, Groq (Llama-3), Google Sheets. Impact: Eliminates manual data entry and provides a conversational interface for organizing an entire day.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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🚀 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.
My tech stack looks completely different today than when I first started, and rightly so.
This is largely influenced by industry demands and better tools.
Two years ago, Claude wasn't doing half of what it does now. Today, it’s a core part of how so many of us work.
Even as tools change, the core principles stay the same:
⭐ Personalize everything to the team's real workflow.
⭐ Keep your data clean and structured early.
⭐ Design for edge cases before you launch.
⭐ Choose simple, efficient setups over complex ones.
⭐ Always focus on delivering the actual result.
Businesses will always adopt new tools as they grow, but real value will always come down to efficiency.
#AI #Automation #CRM
Uptime Monitor Saves Me Time
I've been working on automating various tasks for my e-commerce business, and one of the recent projects was an uptime monitor. I used n8n to create a workflow that checks my site's availability every 5 minutes and alerts me if it's down. The tech stack included Schedule Trigger, HTTP Request, IF, Telegram, and Google Sheets. It's been a huge time-saver, and I'm excited to explore more automation possibilities.
#n8n #automation #ScheduleTrigger #HTTPRequest
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