Recent Blog Posts
Insights on AI Agents, Modern Web, and the Future of Engineering.
Cost Governance for Agent Fleets: Budget Caps, Spend Tracking, and Alerts
A practical guide to implementing cost governance for AI agent fleets, including budget caps, real-time spend tracking, alerting, and cost allocation across teams.
Model Routing for Multi-Agent Systems: Matching Tasks to the Right Model
Learn how to implement intelligent model routing in multi-agent systems using LiteLLM, matching each task to the optimal model for cost, speed, and quality.
Agent Identities in the Enterprise: Service Accounts for Autonomous Tool Calls
How enterprises are implementing identity and access management for AI agents that make autonomous tool calls, with practical patterns using MCP and service accounts.
A Year of Agents: What We Learned Building Production Agent Systems
Hard-won lessons from deploying AI agents in production environments at scale, covering reliability, cost management, evaluation, and the patterns that actually work.
The Agentic Web: Why Sites Are Becoming Agent-Ready
Explore how the Model Context Protocol is transforming websites from static pages into agent-ready interfaces that AI systems can navigate, understand, and act upon.
Agents as Tools: Composing Hierarchical Agent Networks
Master the agents-as-tools pattern for building hierarchical multi-agent systems using the OpenAI Agents SDK for complex orchestration workflows.
Building Governed Agents with PydanticAI: Typed, Validated, Safe
Learn how to build AI agents with type safety, runtime validation, and governance using PydanticAI for production-grade applications.
Enterprise Guardrails for Autonomous Agents: Cost, Control, Compliance
Implement enterprise-grade guardrails for autonomous AI agents covering cost management, behavioral control, and regulatory compliance using LangChain and LangGraph.
Multi-Tenant Agent Infrastructure: Identity, Isolation, and Rate Limits
Build production-grade multi-tenant AI agent infrastructure with proper identity management, resource isolation, and rate limiting strategies.
The Agent Auditor: Compliance and Audit Trails for Autonomous Workflows
Learn how to build comprehensive compliance frameworks and audit trails for autonomous AI agent workflows using Model Context Protocol and structured logging.
Agent Evaluation with OpenTelemetry GenAI Semantic Conventions
Evaluate AI agent performance using OpenTelemetry and GenAI semantic conventions. Build observability pipelines that track tool calls, latency, cost, and quality.
Tools as a Service: Exposing Internal APIs to Agents via MCP
Transform internal APIs into MCP tools that any AI agent can discover and use. Cover API-to-MCP mapping, schema generation, and multi-tenant tool exposure.