... That slot machine feeling is so real when users burn credits on bad outputs. I've seen a few teams use a free retry token for failed jobs instead of touching credit balances. How are you detecting system failures vs bad prompts on your end? Comment from Asad M.(@asadmalik901): @galdayan  Yeah, and the annoying part is every product has a different one. Ours is a download, or dragging the render into the next edit. There's no generic ... ... find out. Comment from Asad M.(@asadmalik901): @faysal_fateh  Badly, is the honest answer. The clean cases we catch, a timeout, a safety block, a model returning nothing, and those refund automatically with no human in it. The messy

... assistant specifically designed for early-stage founders. Here's what it actually does: Structured decision analysis You describe your decision, and it walks you through a framework (not just a "do this" answer, but a real evaluation: risks, assumptions, alternatives) Pattern recognition It learns your decision-making patterns over time and flags when you're repeating mistakes Blind spot detection It asks the questions you're not asking yourself It's not a replacement for intuition or community ... ... built it this way: I spent months testing different approaches. At first, I thought founders just wanted "better answers." I was wrong. What founders actually want is better questions and someone (or something) to help them think through the messy

... journey, not just the highlight. Be honest on a normal feed, you post the launch update, the milestone screenshot, the "we hit $10k MRR" post. That's maybe 5% of what building actually looks like. The other 95% the messymiddle, the pivots, the "not sure if this feature even matters" days has nowhere to go. "D Stage" is built for exactly that part. You share the process continuously, and get feedback while you're still figuring things ...

... built-what once a week, not who-recommended-what. that switch cut my ai tool reading by 90 percent and my actual learning went up. Comment from Debra Salt(@debra_salt): I relate to this a lot. The show vs tell gap in AI content is real most of what actually helped me learn came from messy

... Hello, Guang here. I work around BI, reporting, dashboards, and the messymiddle between raw data and business decisions. A lot of my work is helping teams clean up spreadsheet-heavy processes, automate recurring reports, define KPIs properly, and build dashboards that people can rely on in meetings. I'm especially interested in tools that make analytics work more practical: cleaner data imports, better refresh schedules, easier reporting automation, stronger QA checks, and Workflows that dont require every team ...

... Anthropic's move makes sense for sustainability, but it definitely adds friction for power users. Do you think we ll eventually see a 'pay-per-token' model become the standard for pro consumers, or will credits remain the messymiddle ground ...

... find AI most useful? Have you noticed your work becoming more efficient but less distinctive? What do you intentionally keep human in your process? Comment from Alper Tayfur(@alpertayfurr): I m using it mostly for speed in the messymiddle early exploration, copy variations, quick UI directions, and summarizing research. That part is genuinely useful. But I ve noticed the same thing you mentioned: the outputs get solid fast, and also a bit same-y fast. That s why taste ...

... Olamide Agusto. Emotional Brand and Social Media Strategist. And starting today, I'm building in public. I'm going to share my frameworks, my thinking, my case studies, and the messymiddle of building a career around one belief: Brands that win are brands that feel. I've spent years doing this work quietly. Creating strategy documents, building playbooks, helping brands find their emotional footing. But I kept it all behind closed doors. Not anymore. Here's what ...

... officially in nominees season for the Orbit Awards: AI Workflow Automation. This category is the how did I ever do this manually corner of AI. The tools that connect the messymiddle. They route requests, hand off tasks, chase down follow ups, update systems, and generally keep work moving while you re doing literally anything else. The products in the running are @n8n , @Taskade , @Zapier , @Trace , @Relay.app , @Gumloop , @Lindy , @Wordware , @Airtop . Now we want the stories behind the automations. Which ... ... Relay.app on the list. I have attended all their webinars, sometime twice :), I really love how simple it is to setup and run automations through @Relay.app , I have created a few useful ones for me like conversion automation reports,

... guide me to a right forum. I genuinely need some help here. Comment from haider ali khan(@haider_ali_khan1): @gnizdoapp  "the hardest problems usually aren t in AI-able steps (design, photos, content) they re in the messymiddle: SKU structure, versioning, handoffs, and keeping catalog, listings, and inventory in sync across channels." Exactly what we are trying to solve, for that I am open to speaking to 10-15 operators in fashion to understand how things work ... ... That s where daily stress lives. Comment from Josef(@gnizdoapp): Love the intent here. One thing you might discover quickly: in fashion, the hardest problems usually aren t in AI-able steps (design, photos, content) they re in the

... first company and he's just a cool guy. Got any tips for me? Comment from Mark Bradford(@markbradford): Yes, but it depends on how they frame them. It's actually more important for them to track it themselves vs. publicly posting about it. I did a podcast episode on this in which we delve into how it was just as important if not more important to track your failures vs

... been making short films for as long as I can remember.  My first short was back in middle school, where my brother and I pretended we were in Star Wars, dueling with dowel rod lightsabers. By the time I met my co-founders, Spencer and Charlie, in college, my storytelling had (I hope) evolved well past my VFX-obsessed origin story. We met on the set of a feel-good student short I directed last fall. But this wasn ... ... that filmmakers actually don't want to do: How do you get from a greenlit script to scheduled shoot as quickly as possible? Everyone was focused on cutting out creatives. No one was using AI to cut out the messy

... Honestly, just being part of the community has taught me way more than any cold DM ever could. Rooting for you as you keep going and totally here if you ever wanna swap lessons or just talk through the messymiddle. It s a weird but kind of magical stage Comment from Karan Arora (@gamifykaran): Recently I write about our 0 to $$ journey, i hope it helps: 9 questions we answered to go from idea to revenue in 30 days ...