WorkBuddy + Hy4: A Practical Game-Prototyping Workflow
How to evaluate WorkBuddy and Hy4 for game prototypes across engine state, MCP actions, visual quality, testing, and clean hand-off.
Agent Use Cases
WorkBuddy for Long-Running Projects: From Expert Routing to Verified Delivery
A practical architecture for using WorkBuddy’s specialists and project spaces on multi-step tasks without losing provenance or control.
Build a Research Agent with Model and Social Signals: A SandBase Pattern
A practical SandBase pattern for combining X discovery with model and search APIs while preserving evidence, source boundaries, and human approval.
Claude Tag for CI/CD: Designing an Agent First Responder
Anthropic uses Claude Tag as a CI/CD first responder. Here is the architecture that separates useful diagnosis from unsafe autonomous remediation.
How Duolingo Built Their Production Agent Platform
How Duolingo built a shared agent platform using Temporal workflows, declarative definitions, and multi-runtime support to stop teams from rebuilding infrastructure for every agent project.
Pre-Action Authorization for AI Agents
Pre-action authorization checks every AI agent tool call before it runs. Learn how to gate reads, writes, code execution, and loops.
MCP Execution Boundaries for Production Agents
MCP execution boundaries help production AI agents use tools safely. Learn what to control after tools are connected and before loops run.
Why Production AI Agents Need a Runtime Layer
The agent runtime layer is the production infrastructure between your framework and model. Why it decides durability, isolation, and recovery.
Guardrails for Production AI Agents: A Practical Guide
Real guardrails for AI agents in production: input validation, action allow-lists, sandboxing, cost ceilings, and human-in-the-loop. Patterns you can ship.
Building a Self-Correcting AI Agent with Reflection
How to build a self-correcting AI agent using the reflection pattern and persistent memory. A runnable Python loop that critiques and fixes its own output.
Agent Memory Architectures: Vector, Graph & Episodic
Compare the three agent memory architectures in 2026 — vector recall, knowledge graphs, and episodic buffers — with real latency numbers, failure modes, and a decision guide.
Cron-Driven Agents: Autonomous Workflows on a Schedule
How to build cron-driven AI agents that run autonomously on a schedule. Full Python code, cost analysis, retry logic, and production monitoring patterns.
How Hermes' Self-Improving Agent Loop Actually Works (2026)
How Hermes Agent self-improving loop works: architecture teardown, memory systems, evaluation cycles, and real-world performance data from production.
Inside OpenClaw: The Architecture That Hit 250K Stars (2026)
Architecture teardown of OpenClaw: three-layer pipeline, code execution sandbox, memory system, and how it achieves top SWE-bench scores with diagrams.
Multi-Channel AI Agents: Slack, Discord & WhatsApp (2026)
How to run one AI agent across Slack, Discord, and WhatsApp. Unified message handling, platform adapters, auth patterns, and deployment architecture.