Research & Benchmarks

Anthropic puts Claude in the interviewer's chair for AI testing

December 5, 2025 • 2 min read

Anthropic’s latest experiment—handing Claude the role of interview‑er for AI testing—highlights a growing tension between cutting‑edge models and the practical steps needed to bring them into production. While researchers can devise clever prompts, many teams still wrestle with messy API documentation and unclear rollout timelines. That gap between prototype and deployment is why a structured onboarding plan matters.

Companies looking to move beyond ad‑hoc trials now have a concrete resource: a free 90‑Day AI Readiness guide from Postman. The guide lays out a step‑by‑step framework that starts with cleaning up documentation, then moves toward building automation layers. By mapping a clear 30‑60‑90 day trajectory, the playbook promises to turn experimental curiosity into repeatable, intelligent workflows.

Whether you're setting the strategy or writing the code, Postman's free 90-Day AI Readiness guide gives you a practical 30-60-90 day plan, so you can confidently build the foundation for intelligent automation. Here's the playbook: 0-30: Transform chaotic API docs into machine-readable standards 30-60: Build intelligent infrastructure that scales with AI automation requirements 60-90: Deploy AI agents that manage AI collaboration at scale OPENAI Image source: Nano Banana Pro / The Rundown The Rundown: OpenAI just published new research on a technique called "Confessions" that trains models to produce a second, honesty-only output -- where the model reports rule violations, shortcuts, or deceptive workarounds.

Anthropic puts Claude in the interviewer's chair - The Rundown AI

Anthropic’s new interview‑tool places Claude in the role of interviewer, letting the model ask 1,250 workers about their AI experiences. Results suggest adoption is broad across the surveyed cohort, yet the data also hint at hidden reservations that the study does not fully unpack. Because the research relies on a single AI‑driven questionnaire, it’s unclear how representative the findings are of the wider workforce.

Moreover, the brief mention of Postman’s free 90‑day AI readiness guide—detailing a 0‑30‑day transformation of API documentation—adds a practical layer but falls outside the core study. Still, the mixed picture underscores that enthusiasm coexists with unanswered concerns, and further independent validation would be needed to confirm the trends. The company has not disclosed how the interview prompts were crafted, leaving the methodology partially opaque.

A promising start. Will future iterations of Claude’s interviewing capability address the opaque areas?