Blog

Posts on AI workflow engineering: software that executes work, with deterministic logic, AI agents and human-in-the-loop in one system. Plus agentic development as well as app and web development with React and React Native.

AI Agents in Production

AI agents as software components inside an executable workflow: architecture, tools, permissions, guardrails, evals, human-in-the-loop and production operation, including with the Google ADK.

AI Agents in Production14 November 2026
Typed Interface Contracts Stabilize Multi-Agent Orchestration in Production
Production failures in multi-agent orchestration rarely stem from individual model reasoning. Typed inter-agent schemas, calibrated confidence boundaries, and state-level decision traces stabilize handoffs across operational workflows.
AI Agents in Production14 November 2026
Bounding Agent-Driven Generative UI With A2UI 1.0 Component Catalogs
Google's A2UI 1.0 standard decouples agent-generated interface descriptions from host rendering by confining output to declared component catalogs over transports like AG-UI. The release adds typed bi-directional function calls, multi-catalog screens, and runtime permission checks that keep product design systems and local execution under deterministic control.
AI Agents in Production11 November 2026
Generative UI Architecture: Restricting AI Agents to Pre-Approved Component Catalogs
How generative UI shifts AI agent output from walls of text to interactive components. Discover why pinning agents to a declarative component catalog prevents arbitrary code execution.
AI Agents in Production09 November 2026
Designing Human-in-the-Loop Workflows for AI Agent Governance Under Regulatory Deadlines
Enterprise AI deployments face growing regulatory scrutiny regarding human oversight and auditability. Discover how structured human-in-the-loop workflows provide verifiable governance checkpoints.
AI Agents in Production07 November 2026
How GreenboardGo 2.0 Uses an AI Harness and WORM Records for SEC and FINRA Compliance
GreenboardGo 2.0 implements an AI harness with WORM-based audit trails to manage SEC and FINRA compliance workflows. The architecture combines Model Context Protocol integrations with mandatory human approval gates.
AI Agents in Production05 November 2026
Architecting Practical AI Agents with Zod Schema Validation and Hybrid Search
Building AI agents that work reliably in a demo video is straightforward, but running them autonomously in production is an engineering challenge.
AI Agents in Production04 November 2026
Evaluating AI Guardrails in 2026: Context-Aware Inspection vs. Pattern Matching
Compare context-aware inspection with pattern-based tools for production AI guardrails. Learn how to evaluate execution risk and latency trade-offs.
AI Agents in Production04 November 2026
Deploying Practical AI Agents with Governed Business Data and Context Architecture
Organizations face a persistent pilot-to-production gap when building production-ready AI agents due to a lack of governed context and data access. Learn how anchoring agents to authoritative definitions and user permissions resolves execution failures.
AI Agents in Production01 November 2026
Browser Use in Managed Deep Agents: Equipping AI Agents with Context-Efficient Navigation Tools
Equipping production AI agents with specialized browser tools requires careful context handling and human-in-the-loop sign-in handoffs. Managed Deep Agents handles runtime execution without local infrastructure.
AI Agents in Production01 November 2026
Scaling AI Workloads: How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes
Nvidia Mission Control 2.5 extends its autonomous recovery engine from high-performance computing to Kubernetes clusters. This update helps AI engineering teams manage multi-node GPU failures automatically.
AI Agents in Production30 October 2026
Production AI Agent Workflows: LangGraph Supervisor Architecture and PostgreSQL Checkpointing
Architecting production AI agent workflows requires deterministic state checkpointing and supervisor patterns. Learn how PostgreSQL persistence and human approval gates secure multi-agent execution.
AI Agents in Production28 October 2026
Evaluating Practical AI Agents Beyond Demo Success and Consistency
Demo success does not guarantee production reliability for AI agents. Engineering teams must measure task consistency across repeated runs, tool failures, and ambiguous user inputs.
AI Agents in Production28 October 2026
Choosing Tools for AI Agents: Four Layers of the Modern Stack and Why Projects Stall
Engineering teams adopting tools for AI agents face a fragmented stack spanning harnesses, runtimes, orchestration frameworks, and control planes. Understanding the four layers prevents common architectural stalls.
AI Agents in Production27 October 2026
Agent Architecture Patterns: Single-Agent Versus Multi-Agent Trade-offs in Production
Examine how single-agent and multi-agent design patterns impact budget control, latency, and runtime stability in production AI systems.
AI Agents in Production25 October 2026
AI Agent Permissions Architecture: Enforcing Zero-Trust Scopes and HITL Sign-Off
Autonomous AI agents require strict zero-trust permission models rather than static IAM. Learn how to secure database mutations and tool execution.
AI Agents in Production21 October 2026
Scaling AI Agent Workflows in Production Without Breaking System Reliability
The operational realities of deploying AI agent workflows in production. Learn how to address permission boundaries, silent propagation errors, and architectural governance.
AI Agents in Production20 October 2026
Generative UI Architecture for Practical AI Agents: AG-UI Protocols and Shared State Trade-Offs
Building production-ready AI agents requires moving beyond static chat boxes. Learn how AG-UI protocols and component-driven generative UI manage state and security.
AI Agents in Production20 October 2026
Architectural Patterns to Scale AI Workloads Without Timeouts
Synchronous endpoints fail when traffic spikes hit resource-intensive AI features. Learn how serverless GPUs and message queues protect production architecture.
AI Agents in Production19 October 2026
Fixing Tool Invocation Failures in AI Agents with Precise Schema Design
Prevent silent agent execution failures by replacing broad multi-purpose functions with atomic tools, consistent naming conventions, and explicit request schema descriptions.
AI Agents in Production19 October 2026
Mitigating Prompt Injection Vulnerabilities in Multi-Agent Systems Using Google ADK Guardrails
How engineering teams secure multi-agent workflows against prompt injection by implementing structured guardrails within the Google Agent Development Kit.
AI Agents in Production16 October 2026
Scaling AI Workloads on AKS: Managing Kernel Isolation and GPU Density in Production
How modern infrastructure updates on AKS address GPU scaling limits and node isolation for unpredictable AI workloads. Discover practical architectural strategies for production safety.
AI Agents in Production15 October 2026
AG-UI Protocol: Standardizing Agent-to-User Interaction and Interrupt Models
AG-UI standardizes agent-to-user interaction by replacing custom WebSockets with native event streaming, declarative UI generation, and shared state synchronization.

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