I’ve been thinking about how easy it is to get stuck in the building phase. You have an idea → open ChatGPT or Claude → start coding → add another feature → tweak it for three days → suddenly you have a very impressive unfinished project. 😂 What’s helped me is keeping the process ridiculously simple: Find the problem → Build the MVP → Get it in front of people → Improve → Sell For the actual workflow, I’ve been using ChatGPT / Claude to work through product ideas and development, Floment to break the project into tasks and keep the execution moving, and automation tools wherever there’s repetitive work worth removing. The important part is not building the most technically impressive AI product. It’s building something someone actually wants. A simple product solving a painful problem will always be more interesting than a sophisticated demo nobody needs. And I think that developer → business owner transition is where things get really interesting. You have to start thinking about the audience, positioning, sales, delivery, and retention, not just whether the code works. For anyone here building an AI product right now, where are you spending most of your time? Finding the problem, building the product, or figuring out how to sell it?

✅ What does “done” look like for you this Friday? Comment below with: - Project: - Done means: - Not included this week: - Likely blocker:

🛠️ What is one problem stopping your project right now? 🤔📝 Post one blocker using this format: - I’m trying to: - I’m blocked by: - I’ve already tried: - A useful answer would help me: Keep it focused. If you can help someone, offer one practical next step or ask a question that makes the problem clearer.

🧠 When does a good prompt deserve to become a reusable agent skill? 🥸 My current rule is if I know I'm going to do it more than once. Usually, I just run through a certain task and then at the end of it if I'm like, I'll probably end up doing that again then I just tell it to turn it into a skill and then just work on it as I continue to reuse it. A one-off prompt is fast. A reusable skill takes more work, but it can preserve context, standards, and a repeatable process. Turning everything into a skill creates maintenance overhead; keeping everything as scattered prompts creates inconsistency. 💬 Which task have you repeated enough that it should become a skill, template, or automation? 👍 Reply with: - Repeated task: - How often you do it: - Prompt, skill, or automation and why:

🔥 Has trying new AI tools made you more productive or just busier? My current take: Everyone has their own versions of things, if you try to learn them all definitely going to be busier. But if you are aware of more things than you actually have a deep knowledge on that's the way. Example I'm aware of muse code but haven't tried it yet. New tools can unlock better workflows, but constantly switching also resets the learning curve. Sometimes the breakthrough comes from going deeper with the tool already open, not adding another subscription. Which describes you right now? 💬 A: Exploring is helping me discover better workflows B: I need to stop switching and master my current stack C: I’ve found a healthy balance Reply with A, B, or C and name the tool that has earned a permanent place in your workflow. If someone names a tool you use, compare what each of you does with it 📝.