news_agentic_test benchmark stress-tests real-world agent orchestration

The key signal here is not just model IQ, but whether an agent can finish a messy multi-step pipeline without dropping requirements.

• –It tests full workflow completion, not isolated prompts, so planning and execution failures become obvious.
• –The sequence maps to real creator and developer operations, making outcomes more actionable than synthetic benchmark scores.
• –Requiring concrete deliverables (articles, images, structured files, publish targets) surfaces brittleness in autonomy and handoffs.
• –As a public GitHub benchmark prompt, it is reusable for side-by-side evaluations across models and agent runtimes.