Recent Blog Posts
Insights on AI Agents, Modern Web, and the Future of Engineering.
Voice Agents: Building Speech-to-Text to Agent to TTS Pipelines
Turn any text agent into a voice assistant with the OpenAI Agents SDK. Learn chained STT→agent→TTS pipelines, realtime speech-to-speech, and TTS personality tuning.
Declarative Agents: Defining Your Agent Fleet in YAML
Define agents and multi-agent workflows in version-controlled YAML instead of code. Learn declarative agents and declarative workflows 1.0 in Microsoft Agent Framework.
Human-in-the-Loop Patterns for Autonomous Agent Workflows
Build approval gates into autonomous agents. Learn the approval lifecycle, dynamic policy, and pause-and-resume state with the OpenAI Agents SDK.
Guardrails for Agent Input and Output: From Validation to Policy
Screen input, validate output, and police tool calls with guardrails. Learn input, output, and tool guardrails in the OpenAI Agents SDK—and the cost of parallel vs blocking execution.
Session Persistence and Memory for Long-Running Agent Workflows
Give your agents memory that survives restarts. Learn session backends, context trimming and summarization, and compaction with the OpenAI Agents SDK.
Deep Agents: Long-Horizon Task Execution with Durable Threads
Build agents that run for hours, pause for approval, and survive crashes. Learn durable execution, delta channels, and human-in-the-loop with LangChain Deep Agents.
A2A Protocol in Practice: Cross-Organization Agent Collaboration
Connect agents built on different frameworks and owned by different teams with the Agent2Agent protocol. Learn Agent Cards, discovery, delegation, and secure cross-org collaboration.
Google ADK 2.0: Graph Workflows for Deterministic Agent Orchestration
Stop asking the LLM to do routing. ADK 2.0 graph workflows turn agent orchestration into deterministic code—cutting latency, token costs, and hallucinated execution paths.
The OpenAI Agents SDK: From Single Agent to Delegation at Scale
Learn the two core multi-agent patterns in the OpenAI Agents SDK—handoffs and agents as tools—and how to scale from a single agent to a delegating fleet of specialists.
Building Enterprise-Grade Multi-Agent Systems with the Microsoft Agent Framework
Take multi-agent systems from prototype to production with Microsoft Agent Framework 1.0. Learn graph-based orchestration patterns, checkpointing, human-in-the-loop, and deploying to Foundry Hosted Agents.
Function Calling and Structured Output for On-Device Agents with Gemma 4
Make on-device agents reliable with Gemma 4 function calling and constrained decoding. Learn structured output patterns, parse-error fallbacks, and how to build a trustworthy tool-calling loop with LiteRT-LM.
On-Device AI in the Browser: LiteRT-LM with WebGPU and WebAssembly
Run Gemma 4 LLM inference in the browser with LiteRT-LM, WebGPU, and WebAssembly. Learn the JavaScript API, serverless architecture, and how to build privacy-preserving web apps with zero backend.