Hi all Anyone have any experience in healthcare automation? Love to hear the real use cases and impact made. Thanks in advance.

Anyone have any experience in real estate automation? Love to network

I see a lot of smart, motivated people join this community every day. But many still struggle to turn AI skills into steady income. From my experience, it’s rarely a matter of lacking tools or knowledge. It usually comes down to this: - Trying to do too much for too many people - Chasing “cool” AI instead of useful automation - Having unclear offers - Wanting to build an agency before securing cash flow What actually works: - One clear problem - One type of business - Simple, boring automations that solve real pain - Consistent daily outreach - Focus on trust and delivery first - Direct Fulfillment AI doesn’t pay. Outcomes do. What’s the hardest part for you right now, finding clients, defining your offer, or staying consistent? Let’s talk. Do you like this personality?

I have a self hosted N8N and i thought of rebuilding it from scratch going straight to v2.0.3. Had so many obstacles, but managed get it running, Migrated the Data successfully. Problem Statement: After deploying N8N v2.0.3 on Ubuntu 25.04 (GCP), Code nodes fail with: * [ERROR: access to env vars denied] * Task request timed out after 60 seconds 1. Initial Diagnosis: Missing Task Runner * Issue: N8N v2.0 requires external task runners for Code nodes * Fix Attempted: Added n8nio/runners:latest container to docker-compose * Result: Task runner started but couldn't authenticate 2. Authentication Problems (404 Errors) Symptom ERROR [launcher:js] Failed to fetch grant token: status code 404 Fixes Attempted: * Set N8N_RUNNERS_AUTH_TOKEN on both n8n and task-runner services * Changed broker URI from :5679 to :5678 (then back to :5679 based on logs) * Added N8N_RUNNERS_GRANT_TOKEN_EXPIRY=60000 to extend timeout * Removed healthcheck dependencies that were blocking startup Result:Task runner successfully connected to n8n 3. Environment Variable Access Denial Symptom: [ERROR: access to env vars denied] N8N_BLOCK_ENV_ACCESS_IN_NODE is set to true Fixes Attempted (ALL FAILED): Attempt A: Using N8N_RUNNERS_TASK_ENV_ALLOW_LIST environment: - N8N_RUNNERS_TASK_ENV_ALLOW_LIST=TELEGRAM_CHAT_ID,OPENAI_API_KEY,... - TELEGRAM_CHAT_ID=${TELEGRAM_CHAT_ID} - OPENAI_API_KEY=${OPENAI_API_KEY} Why it failed: Environment variable alone is insufficient in v2.0 Syntax wasn't the issue Attempt B: Setting N8N_BLOCK_ENV_ACCESS_IN_NODE=false # On n8n container: - N8N_BLOCK_ENV_ACCESS_IN_NODE=false Why it failed: This only affects the n8n main process, not the isolated task runner Attempt C: Mounting /etc/n8n-task-runners.json Config File With config: { "runners": { "javascript": { "allowed-env": ["TELEGRAM_CHAT_ID", "OPENAI_API_KEY", ...] } } } ``` ** failed**: Still getting access denied errors (current state) ### Working: - N8N web interface accessible - Task runner container running and connected

In this video, I break down the AI systems pyramid and explain how I decide what type of system to build for a given problem. We walk through all four layers, starting with custom GPTs, then simple workflow automations with no AI, followed by AI workflows, and finally full AI agents. As you move up the pyramid, complexity, cost, and the chance of things going wrong all increase, and I explain exactly why that matters in real projects. I also show real examples of each layer so you can see how these systems actually work in practice. By the end of the video, you should be able to confidently decide which type of AI system you need to build and avoid overengineering solutions that do not need it. Access the Decision Tree HERE