Studies

Studying model behavior under ambiguity.

Most decisions that matter have no verifiable right answer: what to recommend, whom to encourage, how to say no. We measure how models behave in these kinds of ambiguous situations.

positions

Ask a Model to Take a Side

Asked who to vote for in every 2026 race, GPT picks the Democrat and Grok the Republican. Across 102 models and 18 contested questions, Grok stands apart from the other major labs.

pressure

Models under Pressure

Newer, more capable models fold less often. The way a model holds its ground differs by lab. Nine escalating scenes, 60 models, coded against a frozen codebook and checked against human coders.

coding-agents

What Your Coding Agent Hides

Told to do something the repo contradicts, most coding agents comply, and many do it silently. The same model behaves differently in different harnesses.

format

Form affects Content

Constrain the output format — ask for JSON — and the answers change: the same model, through the same API, answers differently as structured output than as a plain chat completion.

The method behind these studies is in Low-Cost Assays for Measuring Model Behavior Across Vendors and Releases.

Everything is open — prompts, code, and every raw reply: github.com/tap2k/modelun and github.com/tap2k/coding-atlas.

These studies are part of Convovo’s research on the science and practice of conversing with AI. For new results as they come, subscribe.