tested

3 stories filed under tested on Beyond Market Intelligence. The newest of them: “When AI Agents Search for Evidence, the Results Are Still Unreliable”, “Why Model Switching Can Erase the Savings of Cheaper AI Inference”, and “Five AI Coding Assistants Put to the Test: Which Tool Actually Works”. When AI agents search for evidence, they still lose papers a plain search finds. Testing cheaper LLM inference models comes with a hidden cost: switching models mid-session can erase the savings entirely. 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 tested story on Beyond Market Intelligence, newest first.

Towards Data Science

When AI Agents Search for Evidence, the Results Are Still Unreliable

When AI agents search for evidence, they still lose papers a plain search finds. I watched an agent search again whenever it chose. It uncovered a few references that basic search missed, but it also dropped documents that were already in hand. The result? Too little gain to trust. If your data workflows feel similarly unreliable, our piece on knowing when your data engine has outgrown spreadsheets offers a practical next step.

Towards Data Science

Why Model Switching Can Erase the Savings of Cheaper AI Inference

Testing cheaper LLM inference models comes with a hidden cost: switching models mid-session can erase the savings entirely. I ran routing experiments to understand why, and the results show that context loss, incompatible reasoning patterns, and repeated re-processing add up fast. The math on model switching is clear, cheaper per token means nothing when you pay the switching tax repeatedly. For deeper context on what keeps LLMs in check, see our related piece on spec-driven test automation.

Five AI Coding Assistants Put to the Test: Which Tool Actually Works
KDnuggets

Five AI Coding Assistants Put to the Test: Which Tool Actually Works

Choosing the right AI coding assistant shouldn't feel like a gamble. We put five tools through a series of real-world tasks to see which ones actually deliver. The results reveal clear winners for different workflows, and a few surprises. If you're tired of tools that promise more than they perform, this test offers practical guidance. For a deeper look at how AI is reshaping productivity tools, check out our coverage on Melius and its approach to reimagining marketing workflows.