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Ready-to-deploy operations kit for rental hosts. Guest messaging templates, cleaning checklists with photo verification, emergency protocols, and turnover coordination flows. Built from 2 years as an STR cleaner + managing 13 units across 4 platforms.
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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Most lending businesses run on email threads, spreadsheets, and disconnected SaaS tools duct-taped together. That's where SBA Loans HQ started.
Brokers losing deals in their inbox. No pipeline visibility. Critical business logic living inside Zapier. Six months later, none of that was true anymore.
We built a full platform from scratch — four user roles, a Kanban deal pipeline, automated document bundles, in-platform messaging, and a live analytics dashboard for leadership. Document collection that used to take days of back-and-forth now closes in hours.
AWS Textract pulls structured data from financial PDFs in seconds instead of 30 minutes. A multi-agent AI layer handles lead scoring, deal prioritization, and document analysis — brokers see which deals are worth their time without reviewing everything by hand. Every third-party automation connector was replaced with a backend engine built in-house.
$33M+ in loans approved. 50+ lenders onboarded. 60% reduction in operational overhead. Six months, start to production.
Stack: Next.js, Django, PostgreSQL, AWS, Multi-Agent AI, Textract, DocuSeal.
Congrats 🔥 Where'd you design your UI/UX?
Klaviyo Email Marketing Setup & Automation for Ecommerce Brand
https://www.fiverr.com/s/1qGVR0K
this is wonderful
Automated Multi-Agent AI Support & Lead Triage Pipeline
Are your high-ticket clients waiting hours for an email response? This intelligent multi-agent n8n workflow instantly screens, analyzes, and responds to customer emails in real-time, utilizing advanced RAG (Retrieval-Augmented Generation) to deliver human-like support instantly.
Project Overview:
This is an enterprise-grade AI automation system designed to eliminate manual customer support queues. Instead of simple auto-replies, it uses a multi-agent routing structure combined with a dynamic knowledge base to handle complex inquiries autonomously.
How It Works (Under the Hood):
Instant Inbound Triage: A Gmail Trigger catches incoming emails instantly, extracting raw content for processing.
AI Intent Classification: An initial OpenAI model acts as a gatekeeper, analyzing the email to determine if it is a valid customer support request or irrelevant noise.
Conditional Routing: An advanced router splits the path: non-support emails receive a polite automated Telegram update, while actual support tickets are routed to the main AI engine.
Context-Aware AI Agent: The core Customer Support Agent is equipped with an OpenAI Chat Model, conversational memory, and a custom Vector Store Tool.
Pinecone RAG Integration: The agent queries a Pinecone Vector Database (powered by OpenAI Text Embeddings) to fetch real-time, accurate company documentation and context, eliminating hallucinations.
Automated Action & Response: Once the resolution is drafted, the system automatically creates a draft in Gmail for review and sends an instant internal notification via Telegram.
Why This Wins Clients (The Value Pitch):
Zero Hallucinations: Connected to a live vector database (Pinecone) so the AI only speaks from approved company data.
Reduced Overhead: Cuts down customer support response times from hours to under 60 seconds.
Production-Ready Architecture: Designed with modern n8n AI sub-nodes, structured tools, and modular scaling capabilities.
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