Someone fills out a form… and then what? • Delayed response • No qualification • No prioritization • Sales teams guessing who to call first That’s where most revenue is lost. Here’s how I fixed this using automation + AI: The moment a user submits a form → the system kicks in instantly. Captures lead data in real-time Sends an immediate response (no dead time) Scores the lead based on budget, urgency, and intent Classifies them → 🔥 Hot 🌤️ Warm ❄️ Cold Routes them to the right salesperson automatically Notifies the team instantly + logs everything in a central CRM What changed? No manual sorting. No missed follow-ups. No wasted high-intent leads. Just a system that reacts faster than your competition. Most people try to get more leads. Very few fix what happens after the lead comes in. That’s the real bottleneck. If you’re still manually handling leads, you’re already behind

I created a Gmail AI email triage system in about 15 minutes using Make, Gemini, and Claude. Here’s what the workflow does: • Watches the Gmail inbox automatically • Gemini reads every incoming email and classifies it as Spam / Critical / Moderate Then it takes action based on the category: 🚫 Spam → Ignored (no action)🔴 Critical → AI drafts a professional reply and logs the email to Google Sheets🟡 Moderate → AI drafts a reply and saves it as a Gmail draft The scenario includes multiple modules, routing, and AI decision paths. The interesting part: I didn’t manually drag modules or build the structure step by step. I described the workflow, and the system generated the full automation scenario including module setup, filters, and connections. What still matters though is understanding how automation works. Knowing the logic behind workflows helps you review what AI generates and adjust it properly instead of just blindly running it. Curious to hear how others here are using AI to speed up building automations.

I’ve been testing it lately and it’s surprisingly strong for long documents, structured reasoning, audits, and building workflows especially when you need consistent outputs instead of just chat responses. Curious how others are using it Are you integrating it into agents or automation tools like n8n, or mainly using it for research and coding?

The NCA-toolkit node in my n8n automation stopped working recently The Job logs are saying I'm missing these variables: - GCP_JOB_PATH - GCP_JOB_PAYLOAD I'm assuming this is related to the recent update of the NCA Toolkit repo, since cloud run is pulling the latest image I'm no expert so doing my best to connect the dots... anyone have some insight on this? Thank you UPDATE: I forked the repo and then connected it to my service, then built and deployed. My source is now a 'repository', rather than a 'container'. I then recreated my Job in us-central1... seems there's some hard code in the nca image that looks for a Job there and I couldn't override it with variables After those 2 changes it worked

Any sugestions how to use A.I to modify my videos, so that i can have the same video i make, translated into multiple languages targeting a wider audience?