Real engineering write-ups on AI integration, cloud architecture, SaaS scaling, compliance, and shipping production software. By the team that built it.
Real numbers on building production AI agents - from $25K POCs to $500K enterprise deployments. Tooling, model costs, infra, and where teams actually overspend.
Real numbers from shipping 200+ products: how AI project management tools cut sprint planning by 70%, reduce missed deadlines by 40%, and what still requires human judgment.
Most teams overspend on AI inference by 3-10x. Here's how we dropped our OpenAI bill from $12k to $3.4k/month using prompt caching, model routing, and batch processing.
How we cut defect rates by 34% and reduced unplanned downtime 52% with a real-time AI manufacturing dashboard. Technical blueprint, cost numbers, and 6-month deployment timeline.
Warehouse automation is more than robots. Here's what 3 real deployments taught us about AI-picking, slotting optimization, and the systems integration tax most vendors don't mention.
After implementing a gradient-boosted forecasting model, we cut stockouts by 78% and reduced excess inventory by 34%. Here's the exact architecture, tools, and code patterns we used to build a production-ready inventory forecasting system that handles 10,000+ SKUs with 5-minute prediction latency.
Moving AI from pilot to production in manufacturing requires reliable inference at scale. Here's how we built a real-time defect detection system on the factory floor.
A practical breakdown of how we built an AI-driven production planning system that reduced manual scheduling from 12 hours to 2 hours per week for a mid-size manufacturer.
Manual inspection misses 20% of defects. We built a computer vision system using YOLOv8 and edge GPUs that runs at 60fps with 99.5% accuracy. Here's the architecture, the numbers, and the gotchas.