spec-driven
Beyond Market Intelligence keeps spec-driven in one place: 4 stories so far. The section currently leads with “How to choose the right AI tool by asking what keeps your LLM in check”, “How Google's Data Validated Part of My Argument and Left Room to Explore”, and “One test run can reveal more than you think about data”. 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-driven 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.
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.
One test run can reveal more than you think about data
One test run can reveal more than you think about data. One run, and what it actually proves, that's the question this piece explores. It's a sharp look at how a single test can mislead or clarify, pushing us toward spec-driven automation for real confidence. We appreciate the focus on evidence over assumption. If you're curious how similar rigor applies at scale, our coverage of "300K lines refactored for $4,000" shows what happens when you let agents test their limits.
Beyond Green: Understanding True Test Suite Efficacy
A green test suite can create a false sense of security. Passing tests don't always mean your software is healthy, and that gap deserves attention. This piece challenges you to look beyond the color of the results and ask what your tests are truly verifying. It's a practical call to focus on efficacy, not just outcomes. If you're ready to rethink your approach to automation, this is the right starting point.