Context

I Spent a Week Building an AI Knowledge Base for a Real Business. Here’s What Went Wrong.

📅 August 1, 2026 📂 AI & Machine Learning

A knowledge base AI takes 10 minutes to build—but making it actually useful for a business takes a week of non-technical work. Data cleaning, requirement scoping, user testing, and feedback classification are the real barriers. The most valuable work in an AI project has nothing to do with AI.

Agentic AI AI Adoption AI Agents AI Deployment AI Failures AI Implementation AI in Business AI Lessons AI Myths AI Reality Check AI Skepticism AI Strategy AI Transformation AI Value AI Workflow Business AI Context Data Governance Data Quality Demo vs Reality Enterprise Enterprise AI FDE First Principles Frontline Implementation Integration Knowledge Base Knowledge Management Lessons Learned Metrics Minimum Viable Non-Technical Operational Real-World AI Requirements Rollout Success Testing User feedback Validation

Chat Is Dead for AI Coding. Here’s What Actually Works.

📅 July 29, 2026 📂 AI & Machine Learning

The biggest bottleneck in AI coding isn’t model quality—it’s context rot. Chat-based UIs force linear conversations that degrade over time. A new tool, MandoCode Desktop, uses tabbed multi-agent workflows with context snapshots to solve this. The future of AI development isn’t better chat, it’s better architecture for managing context.

.NET AI AI Agent Coding Assistant Context Development Tools Tabs Windows