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KVK AI

1k members • Free

12 contributions to AI Automation Network
Why trying to build AI automations without a system leaves your workflow pipeline scattered
Trying to learn how to build AI automations, deploy agentic systems, and use ready-to-use n8n templates while letting your workflow notes, prompt files, and code snippets get scattered across random chat logs and loose text files is an absolute roadblock. When you're trying to save time, grow businesses, and run systems on autopilot without a centralized setup, letting your implementation guides get buried across a chaotic maze of open browser tabs and phone memos makes consistent execution nearly impossible. Scaling your automation building means ditching the digital clutter and anchoring your workflows into a clean, systematic framework. Instead of juggling random notes, I now rely on a centralized Notion and spreadsheet ecosystem to track my n8n template imports, Claude Code masterclass progress, and automation milestones without the mental noise, paired with tool integration links like n8n.io and canva.com to support my technical stack. Whenever I need to break down a complex node setup or structure a new agentic workflow—like designing a step-by-step automation blueprint for client operations—I drop my rough thoughts into floment.ai and instantly get three targeted variation options and execution guides in seconds flat. What automation projects, n8n templates, or workflow strategies are you working on inside the network right now? Let's discuss in the comments below!
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Claude Console
I woke up to Claude Console today!? Anyone else see that or know about that? Let's discuss. Video from you about this, Brennan?
0 likes • 1d
I noticed Claude Console too. I’m still looking into it, but it looks interesting for testing and working with Claude outside the usual chat interface. I’d definitely be interested in seeing Brennan’s take on it and how it could be useful for automation workflows.
Implementing AI in Business Inviromant
Hello beautiful community. I have a question. I have a small retail store with a significant number of items in my inventory (plumbing) and would like for somebody to teach me - spend time with me teaching me - to build a cluster of AI Agents, run them locally, to have complete control over the entire operation. Including: 1. Have AI Agent to monitor Inventory database. Notifications - low amount, high usage, etc... suggestions on stocking based on analyzed sales data. Also I need to learn what to ask, what else AI can inform of. 2. AI answering phone calls with tech.support. I think I should use a RAG system and store solutions/recommendations in there with link to a live operator. 3. While customer is on a call with AI - AI can verify item availability, if low - send notification to purchase more, confirm next open slot for repair/installation/configuration and guide customer how to submit order/place order. 4. Any amazing-how-helpful-it-is report that AI can produce about numbers - sales. 5. Learn to understand and build it myself as I would like to know how to apply new ideas and maintain Cluster as nessesery. Troubleshooting. Maintenence. My understanding on subject - beginner. Also asking if nobody here is interested/not available - please point in the direction where I can also ask and you know and trust that community. Thank you.
0 likes • 1d
This is a really interesting project, especially since you want to learn how to build and maintain it yourself instead of just having someone set it up for you. I’m also learning n8n and AI automation, and the inventory monitoring, RAG support, and reporting parts sound like good use cases to explore. I’d probably start with one workflow, like inventory monitoring, then build out the other agents step by step once that works reliably.
Want To Strategize With Me?
Looking for feedback and direction from the community here... The custom home buidler that I work for (part-time) wants to automate it's proposal creation system. They write extremely detailed proposals that itemize every step of building a custom home. They itemize in phases, for example, Phase 01 is Site Work and thhere are 12-20 steps (or field tasks) outlining what work will be done in Phase 01. Some of the tasks are performed by our crew members (carpenters, etc. on staff) and other tasks are from sub-contractors (grading and paving contractor). We want to take all of those historical proposals and the line item tasks and create a database that they can select and can be drag-n-drop style into the new MS Word file (proposal). Right now, the proposal team goes back (from thier memory) to past proposals and they cut-n-paste parts that are relevant and useable without having to write that section or item. They may customize a bit such as measurements, time/schedule and other variables that make it specific to the current client's site, but but basically the gist of the content from past proposals is the same. After learning from the N8N / Supabase / PostgresSQL lesson that Brennan provided, I think his lesson provides the core tools for this automation. Would anyone like to work out some of the steps with me? Collaborate and learn as we go? I'll document my steps from my challenges to my successes (and my lack of knowledge) so we can all experience the process of building and automation. Interested?
0 likes • 1d
This sounds like a really practical automation project. I like the idea of turning the historical proposals into a searchable database instead of having the team dig through old Word files and rely on memory. I’m also learning n8n and working with AI automation, so I’d be interested in following along and seeing how you build the workflow step by step.
Senior Software Engineer — Open to Building Something Useful With the Right Team
Hey everyone, I’m a senior software engineer with 10 years of experience building full-stack platforms, AI-powered products, and mobile applications. I’m currently opening up some availability for new projects and collaborations, particularly with founders, startups, and businesses that have a solid idea but need an experienced developer to turn it into a reliable product. A few areas I can help with: • AI agents, assistants & business automation • SaaS platforms and internal tools • Full-stack web applications • Mobile apps for iOS & Android • AI/LLM integrations and custom workflows • CRM, API and third-party integrations • MVP development and existing product improvements • Backend architecture and scalable systems I’m comfortable taking a project from an early idea through architecture, development, deployment, and ongoing improvements. I can also jump into an existing codebase when something needs to be fixed, redesigned, or scaled. I care more about building something that actually solves the business problem than adding unnecessary complexity. You can see some of my previous work here: https://moon-dev.pro If you're building something and could use an experienced technical partner, feel free to send me a DM. Happy to hear what you're working on and see whether I can help.
0 likes • 10d
@Chong Zi Xuan Nice to meet you too, Chong! I appreciate that. I’m still learning a lot about AI automation, so I’ll definitely keep your offer in mind. Always good to connect with people who have real hands-on experience.
0 likes • 9d
@Emmanuella Cornelius i'm good how about you?
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Emily Harper
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@emily-harper-3932
Helping creators optimize structures, scale audiences, and slash software overhead. 🚀

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Joined Sep 2, 2026
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