spec
Beyond Market Intelligence keeps spec in one place: 3 stories so far. The section currently leads with “How to choose the right AI tool by asking what keeps your LLM in check”, “Build a Stateless MCP Server in Python with HTTP Endpoints”, and “How Google's Data Validated Part of My Argument and Left Room to Explore”. The moment you trust an LLM to act on your behalf, you need a clear answer to one question: what stops it from disobeying? 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 spec story on Beyond Market Intelligence, newest first.
How to choose the right AI tool by asking what keeps your LLM in check
The moment you trust an LLM to act on your behalf, you need a clear answer to one question: what stops it from disobeying? Spec-driven test automation offers a practical answer. By defining precise expectations before the model acts, you create a guardrail that keeps AI focused and accountable. It's a shift from hoping an LLM behaves to knowing it will. For more on AI risk, explore our piece on why your next insider threat might come from an AI agent.
Build a Stateless MCP Server in Python with HTTP Endpoints
MCP doesn't need a heavy server to be useful. This guide shows you how to build a stateless MCP server in Python with plain HTTP endpoints, exposing tools, resources, and prompts without the usual overhead. It's a practical, accessible approach for teams who want AI-native workflows without locking themselves into complex infrastructure. If you're exploring lighter ways to connect agents and data, this is worth your time, and our piece on building a free data science stack pairs well with it.
How Google's Data Validated Part of My Argument and Left Room to Explore
Google's own data validated half of my argument, and left the other half open for exploration. In this third installment on spec-driven test automation, we see how measurable evidence can sharpen a thesis without closing the conversation. That's the kind of thinking partner AI should be. For a deeper look at that concept, see our guide on turning AI into a thinking partner that accelerates how you learn.