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9 contributions to AI Automation Society
Drowning in 8 different tools? Here's what finally fixed it for me 🛑
Hey community! 👋 Quick honesty check: how many separate tools did you touch last week just to run your business? CRM here, invoicing there, a scheduling app, an email tool, a spreadsheet holding it all together… For most solo operators and small teams it's eight or more, and the real killer isn't any one of them. It's the hours you lose every week just keeping them in sync. Full disclosure: I work at Knowlix, and this exact problem is why we built it. It pulls all of that into one platform with an AI teammate that handles the back-office busywork. It drafts invoices from your emails, turns meeting notes into to-dos, keeps your records straight, and always asks before anything business-critical goes out. We just launched, so I'm genuinely after honest feedback from people who live this daily. 30-day free trial if you want to poke around, no card needed. 🔗 knowlix.ai 💼 linkedin.com/company/knowlix-ai Drop a comment: what's the one tool you wish you could stop juggling? 👇
Claude + GHL
Who knows what all we can do/automate with our Claude and GHL? Everything we can?
0 likes • 54m
Quite a lot honestly. The sweet spot is using Claude for the thinking and GHL for the doing. A few that work well: draft and personalize follow-up sequences, auto-summarize call notes into the contact record, write and tag inbound leads, generate booking-page and email copy, and turn messy form responses into clean pipeline entries. Easiest way in is GHL webhooks or workflows firing off to Claude and dropping the output back in. What are you trying to automate first? Easier to point you somewhere specific.
Welcome! Introduce yourself + share a career goal you have 🎉
Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
2 likes • 56m
Hey everyone, I'm based in Munich. I do growth and operations at Knowlix, an AI back-office platform for small business owners and solopreneurs. Career goal: help us grow it into something people across the DACH region and beyond actually rely on daily. For fun, I'm usually out hiking or digging into whatever new AI tool dropped that week. Glad to be here.
AI vs AI Agent?
Unpopular take: most people confuse "AI" with "automation" and it's costing them time. AI = pattern recognition. It takes input, finds patterns, gives output. ChatGPT answering your question = AI. An AI AGENT is different — it takes ACTION. "Send me my top customers" → it reads your data, analyzes it, writes a report, sends the email. No human needed in the loop. Once you separate these two ideas, you start seeing automation opportunities everywhere — every repetitive task someone complains about is a potential agent. Curious if others here are experimenting with agent's vs just using chatbots? what's your favourite tool to work with?
Poll
78 members have voted
AI vs AI Agent?
2 likes • 57m
I use a lot of tools, and love to try out new ai tools.
How are you organizing your AI stack?
I’d love to get your perspective on something that’s becoming increasingly important to me, especially after all the recent updates. I’ve been using GPT since day one. Over the last year and a half I gradually added Gemini and then Claude, until reaching my current setup: - ChatGPT Work and Claude Cowork - Codex / Claude Code (running in parallel from the desktop apps) - Claude Design for visual and front-end work - Google Antigravity as a potential multi-agent orchestration layer So far, it’s incredibly powerful. The problem is that, with the constant stream of new tools and updates, this open stack approach is starting to feel more confusing than empowering. It’s not that I don’t know which tool to use. What I’m struggling with is understanding the most effective architecture to make them work together without creating duplicated work, fragmented context, and scattered projects. Here’s a practical example. Let’s say I want to build a landing page. Should I build everything in Codex or ChatGPT Work, giving it access to the project folder? Should that folder live independently, or should it be part of my second brain? Does it make sense to use Codex for the project structure and backend, then have Claude Code work on the same repository for the frontend, while Claude Design handles the visual layer? Or is it better to move everything into Antigravity and let multiple agents work in parallel within the same workspace and project folder? So my real question is: What’s the best way to organize models, agents, repositories, and shared knowledge without turning flexibility into chaos? On one hand, I love being able to choose the best tool for every task. On the other, I’m starting to think that a slightly more opinionated but consistent workflow might be more productive than a theoretically perfect stack that’s constantly fragmented. How are you approaching this? Have you settled on one primary environment and only bring in other tools when needed, or do you regularly have multiple AI agents working on the same repository and project?
How are you organizing your AI stack?
1 like • 57m
Solid stack. Codex plus Claude Code in parallel is exactly where I landed too. One heads up: Antigravity can burn quota fast running agents in parallel, so watch usage. Honestly the tools are the easy part now, the edge is the workflows you build on top. How are you handling context handoffs between them?
1-9 of 9
@knowlix-knowlix-5319
Knowlix replaces 50+ tools with one AI platform. Its AI teammate automates tasks, streamlines workflows, and saves small businesses 10+ hours per week

Active 22m ago
Joined Jun 29, 2026
Munich
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