Hey everyone! 👋 I've been learning Make.com for a while now and honestly the building part is fun — I get it, I enjoy it. But the moment I try to deploy for a real client? That's where I hit walls I didn't expect. Currently working on what should be a simple project — Gmail → OpenAI → Gmail email summarizer. Works perfectly in testing. But moving it to production for a client is a whole different story. Here's where I'm stuck: 🚧 The GCP OAuth verification process is taking forever. Branding needs to be verified before data access can be verified. Gmail scopes are sensitive so Google takes weeks to review. Meanwhile my client is waiting. 🤔 I'm also unsure about the right way to set things up professionally: - Should everything be under the client's own Google/Make accounts? - How do you handle GCP setup with non-technical clients? - Is Google Workspace the real game changer here? - How do you structure Make organizations for client work? For those of you deploying Make automations for clients regularly: 1. What's your actual deployment process from finished scenario to fully live? 2. How do you handle the GCP OAuth verification issue? 3. How long does a proper client deployment take you realistically? 4. What do you wish someone had told you before your first client deployment? Any real-world experience would mean a lot right now. The tutorials show the building part but nobody talks about the messy production deployment side of things! Thanks so much 🙏

Hello everyone, I’m pleased to share that I have officially completed the development and deployment phase for a series of AI Agents I’ve been building over the past few days. The goal for this sprint was to move beyond simple prompts and build functional, "self-healing" workflows that solve real-world bottlenecks. Here is a breakdown of the systems now in production: - Lead Management & Automated Follow-Up: A system built on Make.com that monitors lead temperature and executes scheduled follow-up sequences, ensuring no high-intent lead is overlooked. - Content & Affiliate Engine: An automated Pinterest system that identifies streetwear trends, generates optimized descriptions, and manages high-volume posting for affiliate growth. - Knowledge Integrity Auditor: A sophisticated agent designed to detect and flag contradictions between live data feeds and a verified internal knowledge base, ensuring data accuracy across the board. - Invoice Processing Automation: A vision-integrated agent that monitors Google Drive for incoming invoices, extracts key financial data, and provides real-time error reporting via Telegram. - Emergency Resource Matcher: A high-speed matching system that categorizes urgent requests via webhook and instantly pairs them with available resources in an Airtable database. These builds have significantly optimized my daily operations, and I’m excited to see the long-term data they generate. If you are working on similar automation architectures or have questions about the specific logic behind these Make.com blueprints, I’d be happy to discuss the technical details in the comments. Let’s keep pushing the boundaries of what these agents can do! Let’s connect on LinkedIn: https://www.linkedin.com/in/rahul-raj-74725a2b2/

Hey everyone 👋 I’m actively learning AI automation and would love to take this further by working as an intern / trainee with someone experienced in this space. So far, I’ve built and experimented with: - Automation workflows using tools like Make.com - AI integrations (LLMs, Whisper for speech-to-text, TTS pipelines like Piper) - End-to-end prototypes connecting Telegram bots, APIs, and AI models - Debugging, deploying, and polishing small automation projects for real use cases I’m not just watching tutorials — I enjoy building, breaking, and fixing things, and I’m very open to feedback. I’m happy to: - Assist on real automation projects - Work on small tasks or experiments - Learn whatever stack or tools you’re using - Accept unpaid / paid / trial opportunities — main goal is learning and building a strong portfolio If anyone is open to mentoring, collaborating, or needs an extra pair of hands, I’d genuinely love to connect.Thanks for reading 🙏