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Worth a look if you build anything in the AI-meets-CAD space. The core point here is one I keep coming back to: the bottleneck in generative CAD usually isn't the model, it's asking the model to do something a well-established library already does better. Gears are the perfect example — involute profiles, root fillets, cone-angle math for bevels, all solved decades ago. An LLM reproducing that from primitives produces "gear-shaped" output, not a gear. Routing the request into a purpose-built library (cq_gears on CadQuery, here) instead is the unlock. What I like about the framing is that it's not an AI argument, it's an engineering one — you don't reimplement Postgres every time you need a database, so why reimplement gear geometry every time you need a gear. The v1.6 scope (an intermediate layer between prompt, LLM, and CadQuery) is exactly where I'd put the effort. Also good to see the Companion build shipping properly signed — the unglamorous details that separate a demo from a product.

Designmatix Companion v1.5.1 is live (now signed) + TTC Web App v1.6 Preview: Here's a behind-the-scenes failure that shaped how we scoped v1.6. Most AI-CAD tools, & including Designmatix's Text-to-CAD (TTC) generate a geometry from primitives. The LLM writes code that calls extrude, cylinder, cut, boolean ops. That works for many shapes. It fails badly for some complex ones. Bevel gears are one of those failures, and so are related transmission components: bearings, sprockets, rack and pinion. Real bevel gears need involute tooth profiles, root fillets, addendum/dedendum scaled to module, and cone-angle calculations. The math is well-established. Ask an LLM to reproduce it from scratch and you get "gear-shaped" output — hollow cylinders if you're lucky, vaguely toothed disks if you're not. The fix isn't a better LLM. The fix is the LLM calling a purpose-built library that already knows the math. TTC v1.6 is scoped to add exactly that: an intermediate layer between the user's prompt, the LLM, and CadQuery, so for gears and similar parts, the model composes calls into libraries built for the job instead of reinventing the geometry. In my own testing this week, that approach took bevel-gear output from unusable to manufacturing-quality involute teeth as demonstrated in screenshots This is a real engineering principle, not an AI one. We don't ask an LLM to write a database from scratch when we have Postgres. Same logic applies to parametric CAD. Today: Designmatix Companion v1.5.1 ships signed. The "Unknown publisher" SmartScreen warning from v1.5.0 is gone. Install now behaves like any other signed and trusted Windows software. Combined with this week's TTC v1.5 backend update is, the .py + .json bundle format that Companion expects — the full pipeline now works end-to-end: TTC web app (v1.5) → bundle → Companion (v1.5.1) Form editor → STEP → Your CAD Tool Try it. Tell me what breaks. Download links in the comments. #MechanicalEngineering #CAD #CadQuery #SolidWorks #ParametricDesign #AIforEngineering

Hollywood-level visuals used to require millions of dollars. Now they require imagination. 🎬🤖 Not long ago, creating cinematic content meant cameras, lighting rigs, production crews, expensive software, and weeks of post-production. Today? One person with the right AI tools can create scenes that would have required an entire studio just a few years ago. And honestly, that's one of the biggest creative shifts we're witnessing. I've been exploring the latest generation of AI creative tools, and the line between idea and execution is getting thinner every month. Here are some of the AI tools changing filmmaking and content creation right now: 🎥 Runway Generate videos, extend scenes, replace objects, create cinematic shots, and edit footage with AI assistance. 🎬 Pika Turn text prompts into animated videos, ads, short films, and cinematic sequences in minutes. 🎞️ Google Veo One of the most advanced AI video models for realistic motion, cinematic camera movement, and storytelling. 🎨 Midjourney Still among the best for cinematic visuals, concept art, movie posters, dramatic character shots, and world-building. ⚡ FLUX Produces highly realistic AI images with impressive prompt adherence and creative control. 🎭 Kling AI Known for realistic motion, character consistency, and high-quality AI video generation. 🎥 Hailuo AI Rapidly becoming a favorite for cinematic video creation and realistic scene generation. 🖼️ Ideogram Excellent for creating visuals that require accurate text rendering, branding assets, and marketing creatives. 🎨 Magnific AI Transforms low-detail images into highly detailed professional-grade visuals. 🎬 CapCut Director Mode Go from idea → script → characters → scenes → final edit inside a single AI-powered workflow. 🤖 Claude One of the most underrated creative companions for creators. It can help with: ▪️ Writing film concepts ▪️ Storyboarding scenes ▪️ Creating shot lists ▪️ Writing ad scripts ▪️ Generating cinematic prompts ▪️ Building character backstories ▪️ Structuring documentaries and short films ▪️ Refining creative ideas before production What fascinates me most isn't the technology itself. It's the fact that creative limitations are disappearing. We used to ask: "Do I have the equipment?" Now we ask: "Do I have the idea?" AI didn't replace filmmakers. It gave more people the ability to become one. The next generation of storytellers may not begin behind a camera. They might begin with a prompt. 💬 Which AI creative tool has impressed you the most lately? Follow me Haider A. for more #AI #GenerativeAI #Filmmaking #AIVideo #CreativeAI #ContentCreation #FutureOfAI #Storytelling

The most frustrating part of job searching isn’t always the rejection. It’s the silence. Submitting countless applications… waiting endlessly… and hearing absolutely nothing back. - No update. - No feedback. - No closure. Just silence. Agree?👍

Dental Practices Don’t Lose Patients to Bad Care They lose them to poor local visibility. Most dental clinics focus on improving their services. But if patients can’t find you when they search, they won’t book. Family Dentistry needed stronger visibility in local search. But the system wasn’t fully aligned with patient behavior. The key issues: ❌ Weak local SEO signals ❌ Service pages not aligned with patient intent ❌ Missed appointment opportunities And in local search, missed visibility means lost patients. So instead of increasing traffic, We focused on intent and trust. Here’s what we built: ✅ Location based SEO optimization ✅ Service focused content ✅ Clear calls to action for booking The outcome? 📈 Increased local visibility 📞 More appointment requests 🎯 Better fit patients Because local SEO isn’t just about ranking. It’s about being found, trusted, and chosen. 👉 Read the full case study https://lnkd.in/dq2rSUcN 🚀 Book a strategy call https://lnkd.in/e9NHzp3m #DentalSEO #LocalMarketing #PatientGrowth #HealthcareSEO #DigitalStrategy #NationMediaDesign