Developing Your AI Context as a Product
AI context (system prompts, knowledge bases, tool configs) is a product you keep discovering and improving. Product thinking applied to AI enablement.
AI context (system prompts, knowledge bases, tool configs) is a product you keep discovering and improving. Product thinking applied to AI enablement.
AI tools promise to speed up product discovery, but do they? A close look at where AI actually helps, and where the bottleneck is still human judgment.
Practical patterns for using AI across the product development flywheel: from discovery and validation to faster build cycles and better feedback loops.
AI can help you spot weak OKRs: vanity metrics, output-shaped objectives, key results nobody can actually measure. A practical guide to fixing them.
Internal tool adoption stalls for the same reason products fail: nobody understood the user. What IT and Ops leaders can borrow from product management.
Alice is ambitious, Bob has a real problem, Charlie has FOMO. Only one of them gets real value from a Product Operating Model. Here is why.