introduction
introduction at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Three Primitives to Build Your Future with Harness Engineering”, “Unlock Continuous Workflows by Exploring OpenAI Dot's Autonomous Agent”, and “Discover how PySpark window functions transform data analysis beyond groupBy”. Harness engineering isn't another buzzword, it's a practical framework for building systems that actually work at scale. OpenAI Dot runs as a 24/7 autonomous agent that consumes no usage quota. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every introduction story on Beyond Market Intelligence, newest first.
Three Primitives to Build Your Future with Harness Engineering
Harness engineering isn't another buzzword, it's a practical framework for building systems that actually work at scale. This hands-on introduction breaks down three essential primitives that can future-proof how you approach data workflows. No fluff, just the fundamentals. If you're tired of brittle pipelines and want something that adapts, start here. And for a deeper look at how these concepts play out in real teams, explore our piece on coordinating AI agents across your business.
Unlock Continuous Workflows by Exploring OpenAI Dot's Autonomous Agent
OpenAI Dot runs as a 24/7 autonomous agent that consumes no usage quota. That alone makes it worth a closer look. Dot walks through what it actually does, how to access it, and a live analytics exercise that puts the agent to work. If you're exploring agentic workflows, Claude Sonnet 5.5 Delivers Faster Coding Smarter Agentic Workflows and Practical Cost Controls offers a complementary perspective on how different tools approach automation.
Discover how PySpark window functions transform data analysis beyond groupBy
Grouping data in PySpark gets you partway there, but it leaves you staring at a wall when you need rankings, running totals, or lagged values. That's where window functions step in, and this practical guide shows you exactly why the trusty `groupBy` falls short. It's a clear, hands-on read for anyone ready to move past basic aggregations. If you're also curious how structured thinking applies elsewhere, our piece on paragraph structure in LLMs pairs nicely with this mindset.