
Tech
AI Governance Shouldn’t Cost More Than Your Actual AI Bill
Many startups are caught between fragile DIY AI proxy solutions and expensive enterprise governance platforms. This article argues for a practical middle ground focused on four essentials: context management, cost-aware routing, security guardrails, and token attribution. The goal is to control AI costs and risk without paying enterprise-level premiums before achieving product-market fit.
Read the full discussion on HackerNoon
This article was aggregated from HackerNoon. Click to join the conversation.
View on HackerNoon