Started the free trial, imported the Json ChatGPT created for the workflow, initially would not work. Pasted the Json into the n8n chat.. boom! n8n created the workflow. Now one of the nodes needs the correct API. How am I doing?

Honestly for people starting out with an Ai lead service, I think the funnest way to get your first couples of clients is through cold calling. When you get good at it its so information intensive and you can leverage a lot more to close deals in a zoom. Method: Scrape numbers in your niche > Populate a sheet > Spend hours calling with a good script > Sell the zoom call not your product.

I have an idea I want to put my calendly or something like that on n8n that acts as a middle man. So i can manages the hook up to Google and outlook. So if I get a client meeting that is set up By my receptionist into ghl and if I want to cancel it or reschedule in outlook it it flows out all cakandars and visa versa if client calls and reschedules meeting I can route him to a voice or open a calendly link Can thus happen. Why do I feel it’s already in place. But I want it on n8n since I may want to hook up to other calandar types like dentrix and other closed systems

Harvard's Gen. AI course is accessible for free. No sign up needed: https://generative-ai-course.hks.harvard.edu/1-how-genai-works/class-1 Includes exercises and homework as well.

Hey — I run a business generating viral AI car photos for Instagram pages. Right now I manually handle everything, but I want a fully automated, no-human-in-the-loop production system. End goal: Clients submit two images (car + viral reference) → system auto-queues → AI generates outputs → post-processing → delivery → logging + status updates. I want this engineered to safely handle 100+ concurrent jobs without crashing or mixing client files. Key requirements:• queue system / job orchestration• scalable AI engine (API-driven)• Google Drive or storage triggers• automatic post-processing• client-specific delivery folders• error handling + retries• logging dashboard If you’ve built production automation pipelines or AI generation factories before, I’d love to talk.