Practical guides on AI agent governance, the Agentic Gateway, and building production-ready agent infrastructure.
Most teams know their total LLM spend. Few know which agent costs what. Here is how we built a gateway that breaks down costs per agent, per model, per day — with one line of code.
Your AI agents run on CrewAI, n8n, Make, LangChain, or custom infrastructure. Dobby gives you scheduling, triggering, approvals, and audit trails without touching your agent code.
Prompt injection, credential exposure, data leakage, model poisoning, and uncontrolled access. How to secure your AI agents.
Every infrastructure layer got its control plane -- Kubernetes for containers, Datadog for servers. AI agents are next, and the stakes are much higher.
AI agents are powerful and expensive. Without token budgets and provider quotas, a single runaway agent can burn your monthly LLM budget in hours.
A practical step-by-step guide to connecting your first AI agent to Dobby AI, setting up governance policies, and running your first fully monitored task.
Without centralized governance, AI agents create security risks, budget overruns, and compliance gaps. Learn how to build a governance layer that works.
Build real-time visibility into your AI agent fleet. Audit trails, cost dashboards, health checks, and anomaly detection.
The parallel between container orchestration and AI agent management. Why every infrastructure layer needs its control plane.
Design a 3-level RBAC hierarchy for AI agents. Platform, organization, and tenant roles with 6 permission levels.
CrewAI vs LangChain vs OpenAI Assistants vs custom. The framework matters less than how you manage the agents.
Fully autonomous AI agents sound exciting — until one overspends your budget or sends the wrong email. Approval gates keep agents productive and safe.
Your team uses CrewAI for orchestration, LangChain for RAG, and OpenAI Assistants for customers. Here is how to manage them all from one place.
The Model Context Protocol (MCP) gives AI agents structured access to tools and APIs. Here is what it is, how it works, and why it matters.
A deep dive into the Agentic Gateway pattern -- a unified proxy that authenticates, meters, and enforces governance policies on every LLM and MCP request.