Practical guide to coordinating multi-agent workflows that generate accurate SQL for complex, multi-table queriesContinue reading on Medium »
Most people are still hand-crafting agent loops in LangGraph. Deep Agents is a higher-level answer to that — and it’s more opinionated than you’d expect.1.1 Deep agents in actionThere’s a pattern I’ve watched repeat itself across almost every team that…
How Machine LearningThe field of Machine Learning is generally categorized into four core approaches: Supervised, Unsupervised, Semi-supervised, and Reinforcement Learning. Here’s an overview of each.Machine learning (ML) is a branch of artificial inte…
If you’re building autonomous AI agents, you already know the feeling. The technology is extraordinary — and maddeningly insufficient for the job. Context windows are larger than ever, but your agent still loses the thread on long tasks. Reasoning is s…
Source: Image by MicrosoftIf you have been building with the earlier beta versions of Microsoft’s Agent Framework, take a deep breath. The new 1.0.0 release isn’t just a small cleanup or a few bug fixes — it is a massive architectural shift.At first gl…
Four models. Apache 2.0. 256k context. Native audio. And 96 MLX variants before most people finished reading the blog post.Continue reading on Towards AI »
Structured Data Extraction for High-Reliability Pipelines: Mastering JSON Schema and Retry LoopsContinue reading on Towards AI »
I don’t write code. I’ve never written code. I direct AI coding agents — Claude Code, mostly — and they build what I describe. Over the last few months, I’ve been building a series of single-task AI agents, each one proving a different idea about how a…
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