... every day? We tracked the top 10% of accounts by engagement. Their most-used feature was the Workflow Engine. Not because they requested it. Because it saved them time. They built automation for content publishing, citation alerts, and competitor tracking. That told us more than any sales call. 2. Support ticket clusters What problems keep coming up? We used RAISA to cluster 1,200 support tickets. The largest cluster (34%) was "automation rules are confusing." Not "add app store tracking ... ... correlation with retention. That told us where to invest. What we decided Building now: Workflow Engine v2 Conditional logic, scheduled runs, webhook triggers. 78% adoption, 64% retention. This is what keeps people around. RAIVE enhancements Real-time citation alerts, competitor

... been working on Kairox Analytics a lightweight, privacy-first alternative to Google Analytics. I wanted something that: Doesn t need cookie banners Respects user privacy by default Works well with modern stacks (Next.js, Edge, Serverless) So I built Kairox open-source and self-hostable . Tech stack: Next.js 15, Prisma, Postgres, Tailwind, Recharts Live: https://kairox.nayalsaurav.in/ Repo : https://github.com/nayalsaurav/k... Feedback and contributions are welcome ...

... organizing the surrounding information, rather than the prompt itself. Last week, I came to know that it's called Context Engineering. I am curious how others here approach it: How do you decide what information is essential vs noise when building AI workflows? Have you noticed cases where too much context actually weakens the model s output? Would love to know about strategies or templates that worked for you while engineering the model context. Comment from Ashok Nayak

... generated content/bots is a good one but it's kinda hard these days to definitively determine what's AI and what's not. Also what actions do you take? Deletion/banning, or just down-ranking somehow... Comment from Ashok Nayak(@ashok_nayak

... guardrails (and for good reason), but sometimes it feels like it s afraid of getting misinterpreted, almost like a human. How many of you have noticed it? Are you still subscribed to the earlier models? Comment from Ashok Nayak(@ashok_nayak

... pull data from, chatgpt wont do that. Hence results from reddit. But yeah having conversational content about your product on these websites like X or reddit will def help llm's crawl that data better. Comment from Ashok Nayak(@ashok_nayak

... uploading the almost perfect image and writing a prompt to fix the image, yet it does the same aforementioned thing. Has it happened to you? If yes, how did you solve it? All suggestions are welcome. Comment from Ashok Nayak(@ashok_nayak

... Comment from Nika(@busmark_w_nika): @ebonybelle  I do not think that LinkedIn is bad, I like it there actually, but it started to be more sensational, the opposite to professional. Comment from Nika(@busmark_w_nika): @ashok_nayak  and we will see whether it will be OpenAI or LI. Comment from Dheeraj(@dheerajdotexe): @busmark_w_nika  That's the real tension: OpenAI could streamline a lot of the journey but then you lose the portfolio aspect ... ... call it the grandpa and I've heard so many times (lmao), but it still connects 1/3 of the planet. Comment from Talshyn Nova(@talshyn): This is a great discussion! I think it really comes down to professional identity vs