Can AI build a real product, not just code snippets? Diskover’s VP of Product used AI agents end to end, defining requirements, generating Jira stories, writing features, and running reviews, to take the Diskover MCP connector from idea to shipping product. Here’s how it came together.
Building the Diskover MCP Connector with AI: From idea to shipping product. →
Diskover’s first AI-powered product, the CloudSoda AI Data Assistant, began as an experiment with Anthropic’s MCP and became a working demo at NAB. It analyzes storage, simulates cost savings, and spots duplicates, so anyone can ask ‘How much cold data is in PowerScale?’ and get an instant answer.
The CloudSoda AI Assistant: What we learned building our first AI-powered solution. →
Diskover VP of Product Olivier Rivard shares how Anthropic’s Model Context Protocol turned AI from a productivity tool into a true development partner, one that connects to real systems, pulls live data, and acts. It’s the story of moving from experiments to real products for unstructured data management.
How MCP turned AI experiments into real product ideas. →
