I spent months thinking my AI results were limited by my prompts. Turns out the real bottleneck was sitting between my chair and my keyboard. 😅 Here's what actually changed everything for me: I stopped trying to get the "perfect" output in one shot, and started treating the AI like a junior teammate instead of a vending machine. Three shifts that made the biggest difference: 1. I describe the OUTCOME I want, not just the task. "Make this better" gets you nothing. "Rewrite this so a busy client skims it in 20 seconds and still gets the value" gets you gold. 2. I let it ask ME questions first. Before generating anything big, I ask "what do you need to know to nail this?" The answers expose gaps in my own thinking I didn't even know were there. 3. I stopped restarting and started iterating. The first draft is the rough clay, not the statue. The magic is in the second, third, and fourth pass. Funny enough, none of this is a technical skill. It's psychology. We're so used to tools that do exactly what we type that we forget AI rewards collaboration, context, and clarity, the same things that make humans work well together. So I'm curious about everyone here: What's the ONE habit or mindset shift that leveled up your AI work the most? Not the tool, not the model, the way YOU approach it. Drop it below 👇 I genuinely want to steal a few of yours.

people honestly. I been thinking of using base44 or at least try it out. I love Claude Code. But I see that base 44 have a very good interface and very good features. Also you can host app there and who knows what other features it have. So Tell me your thongs on BASE4.

I'm a solo founder building a productised AI operating system — not an agency, not the next Morningside or Klarus. One vertical first (UK self-storage), then rinse-and-repeat. Niche within a niche, on purpose. The end goal is a closed loop: the AI wired into everything the business runs on — Slack, meetings, email, docs, their core platform — so nobody hand-feeds it context. It understands the why behind decisions and acts unprompted. My bet: without that loop, you're just selling a chatbot, not solving real pain. Architecture so far: - A cloneable "bridge" that on setup generates per-engine config (CLAUDE.md / AGENTS.md / GEMINI.md) + an Obsidian vault for the human view. Engine-agnostic, no data, no keys. - Separate "brain" repos = the data. One repo = one key = one hard permission wall, so personal can't leak into company. - "Modules" = bolt-on capabilities. First one's a voice agent doing inbound/outbound/email. - Git-backed, so it syncs to any device. Sharing this openly on purpose — there's enough money in this space for everyone, and honest feedback is worth far more to me than the idea is to a copycat. What I actually want from people who've built and sold this: 1. The loop: how do you do ambient ingestion (Slack/meetings/email → distilled memory) without drowning in noise and cost? Git/markdown, DB, or vector store? 2. Repeatable template: clone-and-run-a-script, or a real provisioning system? What does one-person-deployable look like? 3. Onboarding non-technical clients without a support nightmare. 4. Multi-tenant: updating/monitoring/versioning many clients centrally, no hand-touching. 5. Pricing: real setup + monthly, SMB vs mid-market vs enterprise. 6. Enterprise table-stakes: governance, security, data residency. 7. Does a one-click version of this already exist that I've missed? Roast it — where does this break?

Hi All, Working on a project which could be my first paying customer. I could use some outside experience on. The idea: take a real photo of a room and turn it into a clean before/after impression to help sell a property. So first stripping the room back to a blank canvas. Clearing the clutter, removing the furniture, sometimes even taking out a wall to show what the space could become. And then dressing it back up the way an interior designer would, so a buyer can actually picture living there. The part I keep running into is proportions. The room has to stay true to its real dimensions. A wall that quietly shifts, a ceiling that grows a bit, a window that drifts. For real estate that breaks the whole thing. Ideally I'd work from the floor plan so the perspective stays locked and nothing gets invented. The setup so far leans on Claude Code to drive the workflow and write the edit prompts, plus image tools like Higgsfield for the actual generation. Open to other tools if something works better. A few questions for anyone who has been down this road: • Has anyone built something like this, real estate or interior, and managed to keep it dimensionally accurate? • What's your approach for stripping a room and reconstructing the space behind a removed wall without the model hallucinating something that was never there? • Any tools, workflows or tutorials you'd point me to? Higgsfield, Nano Banana, Flux Kontext, ControlNet, floor-plan-to-3D, whatever has actually held up for you. Happy to share back what I figure out. Where would you start?

Hey everyone, I recently finished building my AI agency website and would love to get some feedback from the community. I'd appreciate any thoughts on the design, user experience, messaging, layout, or anything else that stands out. My goal is to keep improving it and make it as professional and effective as possible. Thanks in advance for taking the time to check it out. I'm looking forward to hearing your honest feedback and suggestions for improvement. Here's the link: https://veloro.teamveloro.workers.dev/