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What if every new user who signed up was automatically onboarded, tagged, assigned to the right Slack channel, and synced to Jira — without a single manual step?
That's exactly what I build with AI + n8n.
AI agents with memory. Multi-tool integrations. Smart conditional logic. All working together so your team can focus on what actually matters.
If you're still doing repetitive ops work manually in 2025, automation can buy back hours every single week.
Let's build your system. DM me.
#n8n #AIAutomation #WorkflowAutomation #AIAgent #NoCode
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
Related posts
Practical Ways I Use AI Every Day to Work Smarter
AI is not just a trend for me. It's part of how I work every day.
I use AI to speed up research, brainstorm ideas, draft content, review code, and automate repetitive tasks. It helps me move faster, think clearer, and focus more on high-value work.
My daily AI workflow usually looks like this:
1. Research
2. Ideate
3. Create
4. Review
5/ Automate
One thing I’ve learned:
AI does not replace real skills. It amplifies them.
The better your thinking, the better your prompts.
The better your prompts, the better your results.
AI won’t take your job.
But someone using AI more effectively might.
How do you use AI in your daily workflow?
#AI #Productivity #SoftwareDevelopment #FullStackDeveloper #Automation #Tech #Innovation #LinkedInPost
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?
AI-Powered B2B E-commerce Lookbook Generator
As an E-commerce specialist, I often see retail brands struggling to create high-end, "Retail Ready" lifestyle imagery for national buyers quickly. I built this Melius workflow to solve that. It’s an automated canvas that takes raw product images, processes them through specialized AI agents with tailored prompts, and outputs publication-grade B2B lookbook assets in minutes instead of weeks.
My Process Steps:
Input Node: Uploaded base product layouts (e.g., sustainable retail packaging).
Melius Agent Prompting: Configured a creative agent to analyze the asset and apply a high-end, editorial lifestyle background with strict whitespace rules.
Refinement Node: Passed the generated output through an upscaling and color-grading node to match national retail compliance and premium aesthetics.
Feedback on Melius:
Melius completely turns the thrash of traditional prompt-and-pray AI workflows into a structured visual canvas. Being able to see the node-by-node execution allowed me to tweak specific parameters instantly without losing the design direction. The speed at which it generates production-ready imagery is a game-changer for digital marketers and agency owners!
Wow this looks neat and premium! Did you design this using Melius?
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