In this interview, Max Karambelas, CEO of CloudGo AI, discusses how his platform bridges the gap between high-level business intent and technical cloud execution. By utilizing a proprietary, weekly-updated knowledge graph rather than a general LLM, CloudGo allows users—ranging from non-technical CEOs to experienced engineers—to deploy, audit, and maintain production-grade infrastructure through simple prompts. The tool focuses on "deterministic" results, ensuring that cloud setups are cost-optimized, secure, and compliant while removing the manual "grunt work" typically required to keep up with the rapidly changing cloud landscape.

Key Takeaways

From Intent to Infrastructure: CloudGo translates simple business directives or documents (like pitch decks and landing pages) into production-ready, professional-grade cloud configurations.

Real-Time Knowledge Graph: Unlike general AI tools, CloudGo uses a database updated weekly with the latest cloud documentation and best practices to ensure infrastructure is never outdated.

"Human-in-the-Loop" Security: The platform offers a tiered approach, starting with read-only access for audits and advice to eliminate the risk of AI "hallucinations" or accidental deletions in production.

Business-Level Insights: The tool is designed for non-technical stakeholders, providing empirical cost-modeling and KPI reports to show how business growth will impact cloud spending.

Automated Maintenance & Audits: CloudGo continuously monitors for vulnerabilities and optimizations, allowing a single mid-level engineer to perform tasks that previously required entire senior DevOps teams.