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
Back to feedPost
A client was running cost-per-click campaigns where the bid needed constant attention. Traffic and competition at 9am aren't the same as at midnight, so a bid that made sense in the morning was wrong by the evening. Keeping it right meant checking and nudging it by hand throughout the day.
I built an n8n workflow that recalculates the click bid every 1.5 to 2 hours, moving it within a ±15% range depending on the time of day. Higher when the hours are worth it, lower when they aren't — automatically, without anyone watching the dashboard.
The point wasn't to replace judgment. The range and the rules came from the client's own read on when their traffic converts. The automation just applies that judgment on schedule, every time, without fail.
Manual bid management isn't hard. It's just relentless — and relentless is exactly what software is for.
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
Challenges
View all
Related posts
Most businesses don't need more AI tools.
They need fewer repetitive tasks, better workflows, and clearer decisions.
I've been exploring how AI and automation can improve everyday business processes - from lead management and follow-ups to research, reporting, and internal operations.
One thing I'm learning: the difficult part isn't connecting tools. It's understanding the business problem well enough to automate the right thing.
A workflow that saves time but creates more complexity isn't a good solution.
The real objective is simple:
→ Reduce manual work.
→ Improve consistency.
→ Give people more time for decisions that actually matter.
I'm building and documenting practical AI-powered business solutions, one workflow at a time.
What is one repetitive task in your business that you'd automate first?
#AIAutomation #WorkflowAutomation #BusinessOperations
The point about workflows creating complexity is a common trap. I often see teams automate a simple task only to find that maintaining the logic takes more time than the original manual process did.
🟢 I built an AI agent that reads invoices so humans don't have to. Manual invoice entry is slow, boring, and full of typos. So I automated it end to end in n8n.⚫
Here's how it works:
🟢 Invoice comes in: A webhook receives the PDF through a POST request
⚫ Text extraction: The file is parsed and the text pulled out
🟢 Safety check: If the file is invalid, the system responds with an error right away
⚫ Smart chunking: Large invoices are split into smaller pieces so nothing gets cut off or lost
🟢 AI extraction: A loop sends each chunk to an Information Extractor powered by Anthropics Claude, which pulls out the fields the client needs (vendor, invoice number, dates, line items, totals)
⚫ Merge and validate: The results are combined into one record and checked before they are sent
🟢 Clean JSON response: The structured data goes straight back through the webhook The hardest part was'nt the AI. It was making it production-ready. 💡
Long, multi-page invoices break most simple AI workflows because they exceed the models limits. Chunking, looping, merging, and validating are what let this handle large invoices reliably. Where this fits in the real world:
⚫ Accounting and finance teams processing hundreds of vendor invoices
🟢 Businesses syncing invoice data into ERPs or spreadsheets
⚫ Freelancers and agencies automating their billing workflows What used to take minutes per invoice now takes seconds, with no copy-pasting. ⚡ I'm currently going deeper into n8n and AI automation.
If you are looking to automate document processing or any repetitive workflow, lets connect! 🤝
#n8n #Automation #AIAutomation #InvoiceProcessing #WorkflowAutomation #Claude #FullStackDeveloper #NoCode
Most lead generation tools collect leads.
Mine scores them, analyzes them, and logs them automatically.
I built an AI Lead Intelligence Engine using n8n that triggers the moment a form is submitted. It normalizes the data, runs it through an AI scoring model, detects industry and buying intent using Gemini, assigns a HOT/WARM/COLD tier, and saves everything to a live CRM sheet.
Built for businesses that are tired of chasing cold leads manually.
This is Stage 1. Stage 2 adds automated personalized outreach. Stage 3 adds an AI voice call within 60 seconds.
If you run a business and lose leads because follow-up is slow, this system fixes that.
Love this Lead Intelligence flow! I also build lead scoring with n8n + OpenAI + Google Sheets. Clean execution — how do you handle duplicate leads? Let's connect!