Lately I’ve been bouncing between Draw.io (diagrams.net) and Miro depending on what stage I’m at. Draw.io is still my go-to for quick, structured stuff — especially when I just need to map flows fast without overthinking it. Miro is nice when I’m brainstorming or working with others because the canvas feels more “free”. What’s interesting though is how much AI is starting to creep into this space. Tools are moving toward generating diagrams from text prompts, which is honestly changing how we think about architecture documentation altogether . Funny enough, I’ve seen a similar shift while working on side projects like modded apps (like GB WhatsApp from https://waaps.id type ecosystems). When you’re mapping things like feature flows, user privacy layers, or update distribution — having a quick visual breakdown actually saves a ton of time. Especially when explaining things to non-technical users. Curious if anyone here has fully switched to AI-generated diagrams yet or still prefers manual control?

Really interesting point — we’re seeing something similar on the SEO/content side too. AI shopping agents are basically forcing a shift from “visibility” to data accuracy + structure. If your inventory data isn’t clean, consistent, and machine-readable, you’re almost invisible to these systems. One thing we noticed: 👉 It’s not just about having stock data — it’s about how well AI can interpret it For example: Inconsistent product attributes = lower recommendation chances Missing specs = AI skips your product entirely Vague descriptions = poor matching with user intent That lines up with how AI agents actually work — they rely heavily on structured product data and clear attributes to compare and recommend products effectively. Also, as agents start automating repeat purchases, inventory accuracy becomes even more critical — because now decisions are happening without human intervention. Curious if others here are adapting their workflows for this?