Denis Sandu

How runtime AI policy enforcement helps teams control model access, tool calls, regions, costs, logs, and approvals. …

How to treat MCP registries as governed infrastructure for agent tools instead of just a convenient discovery layer. …

How OpenAI-compatible LLM gateways keep integrations stable while teams compare providers, route models, and reduce operational lock-in. …

Use this Builder integration checklist before a client AI application goes live. Map routing, usage units, margins, payment, reporting, and handoff. …

Chatbot monetization works when pricing follows real AI usage. Learn how Builders can route chatbot, agent, and workflow traffic through ShareAI. …

AI automation top-ups help agencies include fair usage, charge clients for extra workflow volume, and protect margins as AI costs scale. …

Choose the right pricing metric for AI conversations, agent runs, tasks, and tool calls before heavy usage eats product margin. …

AI projects keep creating value after launch. Learn how agencies can route client AI usage through ShareAI, set a margin, and earn from ongoing usage. …

AI automation agencies can turn client workflows into usage-based revenue by routing AI workflow calls through ShareAI, setting a margin, and earning monthly when usage continues. …

A practical guide for development agencies that want AI features to create ongoing usage-based revenue after launch without rebuilding billing from scratch. …