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5 contributions to CC Strategic AI
NGF WhatsApp AI Response Automation Workflow
This setup handles incoming WhatsApp messages end-to-end: - Detects intent automatically - Retrieves answers from a structured knowledge base - Updates/searches records dynamically - Sends fast, context-aware responses without manual intervention Biggest learning: Separating intent detection from retrieval logic significantly improved response accuracy and reduced hallucinations. Sharing this to get feedback from the community. Happy to walk through the flow, explain design choices, or iterate based on suggestions Let me know what you’d optimize or do differently. 👇
NGF WhatsApp AI Response Automation Workflow
0 likes • Jan 19
@Charles Dove Yes—you need a WhatsApp Business account (WhatsApp Business API). Initial outbound messages can be sent automatically from a trigger, but WhatsApp requires those first messages to be pre-approved templates if the user hasn’t interacted yet. Once the user replies, the 24-hour session opens, and the workflow can send dynamic, AI-generated responses automatically.
AI-Powered Sponsorship Email Agent
I recently developed AntiCollab, an AI-powered system designed to streamline the management of sponsorship emails for creators and founders. As inbox volumes increase, sponsorship requests often become difficult to identify and manage. This solution automates the classification and organization of incoming emails, significantly reducing manual effort while improving visibility and response efficiency. The system enables automated detection of sponsorship-related emails, structured data storage with real-time synchronization, and a centralized dashboard featuring message previews, one-click archive and unarchive functionality, and light and dark mode support. It is built using Gmail integration, n8n for workflow orchestration, OpenAI for intent-based classification, and Supabase for data storage, alongside a custom frontend developed with Next.js, TypeScript, and Tailwind CSS. Claude AI was utilized to assist with end-to-end UI/UX development. Planned enhancements include the integration of Retrieval-Augmented Generation (RAG) to leverage historical collaboration data and brand insights, enabling AI-assisted evaluation of partnership fit and response strategy. This project is shared as part of building in public, and feedback or discussion is welcome. 🎥 Product Walkthrough:https://www.loom.com/share/70ea25f4b2cb4af385445fe68658fa12
AI-Powered Sponsorship Email Agent
0 likes • Jan 15
@Charles Dove Yes
🔵 Start Here (Get a Quick Win) 🔵
Welcome in. You just joined a community of builders who are going from "I have an idea" to "I have paying users" — using Claude Code + n8n, no dev team required. I’m Charles. 12 years of entrepreneurship. I run an AI agency (C&C Strategic) and built casegate.io from scratch. Everything here comes from what I’m doing right now — not stuff I read about. This community exists for one reason: to help you build and launch a SaaS product or AI agency in 90 days. 🎬 Watch This First (45 seconds) Quick orientation so you know where everything is. 🎯 Who This Is For • AI beginners who want a build system, not another course • Agency owners adding a SaaS product on the side • Entrepreneurs tired of planning and ready to ship No technical background required. If you can follow steps, you can build this stuff. 📂 Where to Find What You Need • Classroom — Free guides, templates & workflows • Search bar — Fastest way to find anything • Desktop — Best for downloading templates 👋 Your First Action (Do This Now) 1. Go to the Classroom tab 2. Pick ONE free guide (Claude Code or n8n) 3. Complete it today 4. Drop a post in the "Wins" Category & tell us what you built. I read every single response. It tells me what to create next, and some of the best connections here started from a simple intro. 🔒 Ready to go further? Premium members get the full 90-Day SaaS Build System (idea → MVP → launch) with weekly feedback from me. 50% off until 03/02 — locks in forever. https://www.skool.com/cc-strategic-ai/plans Let’s build. 🚀
🔵 Start Here (Get a Quick Win) 🔵
3 likes • Jan 9
Thanks for this, really helpful. I’m Aanchal I work with n8n and AI automations, mostly around building practical workflows for content and business systems. I’ve experimented with AI a fair bit and I’m especially interested in workflows that move beyond demos into real execution. Looking forward to learning and sharing here 🙂
💯 Co-founder Introduction - Welcome to the Community!
Quick story before we dive in... In 2017, I was living on less than $400 a month. No exaggeration. Rock bottom. But I kept stacking skills... WordPress, copywriting, operations, automation. Every failure deposited something. Fast forward: I've scaled agencies from $10k to $100k/month. I've been inside the biggest GoHighLevel accounts in the world at Extendly. I've seen exactly what works and what doesn't. Now? I build AI systems that actually work in production. Not toys. Not prototypes. Real systems that free you up for what actually matters. That's what this community is about. Three paths here: 1. Learn it yourself (we've got trainings) 2. Have us build it for you 3. You're an agency: get our systems to scale your fulfillment My philosophy? Strategic laziness. If you shouldn't be doing it, automate it. 👇 Drop an intro below: - What's your business? - What brought you here? - What's the ONE thing you'd automate if you could?
💯 Co-founder Introduction - Welcome to the Community!
3 likes • Jan 9
Love this philosophy. I’m Aanchal, I work with n8n and AI automations, mostly building systems that actually get used in real workflows. I’m here to learn more about scaling automation the right way and sharing what’s worked for me. If I could automate one thing right now, it would be content and outreach so I can focus more on strategy. Happy to be here 🙂
Turn Any n8n Workflow into a Full AI SaaS with Claude Code
Most n8n workflows are more than just automations—they already contain the core logic of a SaaS product. When you combine n8n’s orchestration power with Claude Code, you can transform internal workflows into scalable, user-facing AI products without heavy backend engineering. Claude Code helps convert workflows into clean APIs, handle validation and edge cases, and structure logic for multiple users, while n8n continues to manage integrations and execution. The real shift isn’t technical—it’s moving from “this saves me time” to “this delivers ongoing value others will pay for.” Key points to think about: - Same workflow, different packaging = automation → SaaS - n8n handles logic, tools, and integrations - Claude Code bridges workflows to production-ready services - Add users, storage, and access control to unlock monetization - The hardest part isn’t building—it’s identifying who will pay Curious to hear: which n8n workflow would you turn into a product? 👇
Turn Any n8n Workflow into a Full AI SaaS with Claude Code
1 like • Jan 8
@Charles Dove Thank you, really appreciate that Totally agree with you. Getting to an MVP fast is the real unlock, and that’s where tools like Claude change the game. When you can validate the problem + willingness to pay early, the tech almost becomes secondary. Building fast lets you spend more time on feedback and product–market fit instead of overengineering.
1-5 of 5
Aanchal Choudhary
2
8points to level up
@aanchal-choudhary-6501
Aanchal is a passionate and skilled developer Her projects include an AI-powered Smart Elective Course Selector using n8n, RAG agents, and Supabase.

Active 19h ago
Joined Jan 6, 2026
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