I'd love to hear from people who have moved beyond experimenting with AI and are now using AI agents in their day-to-day workflow. I'm particularly interested in questions like: - Which parts of your writing business have you automated? - Which AI tools or platforms are you using (Claude, ChatGPT, n8n, Make, etc.)? - How much time does it genuinely save you each week? - Which tasks still require a human touch? - If you were starting again, what would you build differently? Whether you're an author, publisher, content creator, or run another writing-related business, I'd really appreciate hearing about your real-world experiences. I'm trying to understand what's actually working in practice, rather than what's theoretically possible. 😊

Imagine you've just taken over the company. You have the team, the budget, and the authority to make the big decisions. 😉 What would you focus on first? - A feature that users have been asking for? - A better pricing strategy? - Improvements to Claude Code, Skills or AI agents? - Stronger integrations with other tools? - Better memory or project management? - Faster models, better reasoning, or lower costs? - Something completely different? More importantly, why would you make those decisions? I'm always fascinated by how users and business owners think differently from developers. Sometimes the best product ideas come from people who use the tool every day rather than those who build it. I'm looking forward to hearing your CEO strategy. 🚀 😁

There's a lot of talk about both, but the line between them sometimes feels a bit blurry. From your real-world experience: - How do you define the difference between AI agents and automation? - At what point does a workflow stop being "automation" and become an "AI agent"? - Which tasks are better suited to traditional automation, and which benefit from AI agents? - Have there been any surprises — good or bad — since you started using AI agents? - Looking back, what do you wish you had understood before building your first AI agent? I'd love to hear 'practical examples' rather than theory. I think hearing what has (and hasn't) worked in real businesses would be incredibly valuable for those of us still building our systems. Looking forward to learning from everyone's experiences! 😊

We want to better understand what people are TRULY trying to accomplish when it comes to AI so we can make our products better. We know it’s broad and there are so many different lanes, but if you had to pick one of the 2 options below, which one would you choose?

If it feels like it’s not working, you’re probably closer than you think. This is the phase almost nobody prepares you for. The part where you’ve put in real effort, you’re not brand new anymore, but the results still don’t match the energy you’ve invested. Momentum feels inconsistent. Wins are quiet. Doubt gets louder. And your brain starts looking for an escape hatch. New strategy. New offer. New direction. Here’s the uncomfortable truth. Most entrepreneurs don’t fail because they chose the wrong path. They fail because they leave a good path too early. There is a lag between effort and outcome that people underestimate. You don’t get rewarded in real time. You get tested in real time. If you don’t understand that, you keep resetting every time it gets hard, which guarantees you never build real momentum anywhere. Not everything is a sign to pivot. Sometimes it is a sign to get better. To get sharper. To stay long enough to actually see something compound. The people who win are the ones who can accurately diagnose the moment they are in and do not panic when it gets uncomfortable. So before you change everything, ask yourself... Am I actually on the wrong path? Or am I just in the part where most people quit? So my question for you today... where are you right now? Still pushing or questioning everything?