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Nobody should have to rewatch a 30-minute call to find out what they're supposed to do.
So I built Loom to Tasks. Paste in a meeting transcript and it pulls out the decisions, tasks (with owner and deadline) and blockers in seconds. Python + Gemini with structured outputs.
The rule I cared most about: it never guesses. If nobody said who owns a task, it writes "unknown" instead of inventing a name. Tested against hand-written answer keys and passed 67/67 checks.
Code's on GitHub: github.com/AbrarShuvo/loom-to-tasks
If your team lives in meetings, I can set this up for your workflow.
Spot on! Preventing hallucinations on missing owners is crucial for reliability. Out of the 67 test cases, around 15 specifically target ambiguous transcripts and unassigned tasks to make sure it returns "unknown" rather than guessing. Love that your RAG demo follows the exact same guardrail!
You are welcome!
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How do you run 12 AI agents without opening 12 dashboards?
One office, every desk is an agent. Amber means it's waiting for you.
One map instead of twelve dashboards.
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Really curious how you approached the animation. Was that built in AE or did you bring in 3D?
🚀 Turning Manual E-commerce Order Processing into an Automated Workflow with n8n
Manual order management may seem simple, but copying customer details, checking information, preventing duplicate orders, and sending confirmation emails can quickly become repetitive and error-prone.
I recently built an end-to-end order processing automation using n8n to solve these challenges for a handmade products store.
Here's what I implemented:
🔹 Automated Order Capture: Receive new orders through a webhook.
🔹 Data Validation & Cleaning: Validate required fields, email formats, quantities, and prices before processing.
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🔹 Google Sheets Integration: Automatically store valid orders and calculate order totals.
🔹 Email Notifications: Send order updates to the store owner and confirmation emails to customers.
🔹 Error Monitoring: Capture failed executions, log error details in a dedicated Google Sheets tab, and send email alerts.
The goal was simple: reduce repetitive administrative work, improve data accuracy, and make order operations more reliable.
This is what I enjoy about building with n8n — turning complex, repetitive business processes into practical automation systems.
Have a repetitive workflow in your business that could be automated? Let's connect!
#n8n #WorkflowAutomation #EcommerceAutomation #BusinessAutomation #NoCode #Automation
Using AI Automation workflow in business , not only save the time ,also increase work Efficiency