Field notes from building websites, apps, CRM/ERP and AI systems for founders and operators.
Most AI projects stall between prototype and production, and every month of delay is a market opportunity a competitor can take. This guide explains the real causes of slow AI delivery, shows when an agile technical partner beats hiring in-house, and gives you a checklist for choosing AI development services that ship.
Studies from Gartner, RAND, S&P Global and MIT show that a large share of AI projects get abandoned, stall in pilot, or never earn their cost back. This guide explains why that happens and what a good AI development company does differently, from scoping and data checks to production-ready builds. It ends with an evaluation checklist.
Learn how to add AI features to a product that's already in production: choosing the first use case, structuring the integration, controlling costs, and measuring whether it works.
Turn engineering insights into real products. Partner with Zuvigo to build high-converting websites, bespoke web applications, and automated workflows.