Technical updates, security advisories, and the philosophy behind infrastructure-level permissions at Permitly.
Building an MCP server means you're not just shipping a tool — you're shipping a decision-maker. When an AI agent invokes your server on behalf of a user, it's acting with delegated authority. That de...
Agent Permissions: A Complete Guide What Are Agent Permissions? Agent permissions define what actions an AI agent, bot, or automated process is authorized to perform within a system. They govern acces...
Building an LLM application is no longer just about prompt engineering and model selection. As soon as your app takes autonomous actions on a user's behalf — sending emails, booking appointments, modi...
The LLM developer ecosystem has exploded in the last two years. Frameworks, SDKs, model APIs, and tool-calling standards have made it faster than ever to ship an AI agent. But speed has outpaced safet...
If you're deep in the LLM infrastructure stack — wiring up orchestration layers, managing tool calls, optimizing latency — you've probably treated user consent as someone else's problem. A checkbox in...
As AI assistants become more capable, developers need structured ways to connect them to external tools and data sources. The Model Context Protocol (MCP) was designed to solve exactly that problem. T...
Most AI agent builders ship fast. You spin up a LangChain pipeline, wire it to a few APIs, add some memory, and you have something that acts on a user's behalf. Calendar invites, emails, Slack message...