Why Your Organization Needs Agent Infrastructure, Not More Agents
The gap between “we have 5 agents” and “we have 500 agents” is not filled by buying more products. It is filled by building the foundation.
Xpander
The API Contract Without the Server
How AI agents change the traditional API development model: skip the server layer and let agents work directly with API contracts.
Build a Production-Ready Autonomous Expense Agent
Upload an invoice and the agent reads it, classifies it, renames it, files it into the right Google Drive folder, and keeps an audit trail: the parts that break in production, solved.
Introducing Slack-Native AI Agents
Deploy custom AI agents to Slack in minutes. They respond to mentions, keep memory across threads, and work like real coworkers inside the tools you already use.
How xpander.ai Embraces the Model Context Protocol in Practice: An Engineering Deep-Dive
The architecture, the gritty engineering challenges (from SSE streaming to multi-tenant security), and how we wove MCP into a production agent platform.
The Year AI Will Start Building and Managing Other AI Agents
When you have a genie in a bottle granting you three wishes, clever thinkers will ask the genie for another genie.
Announcing Agent Graph System: 4x Better Multi-Step Tool Use
An agent built with Agentic Interfaces and Agent Graph System hit a 98% success rate on multi-step tasks, versus 24% for GPT-4o alone, and did it 38% faster with 31.5% fewer tokens.
From Manual to Autonomous: Revolutionize Business Tasks In-House
How enterprises can build and deploy AI agents in-house: autonomous digital workers that automate complex tasks while keeping full control over data, security, and cost.