# Your Agent Aced the Task. Will It Do It Again?

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/your-agent-aced-the-task-will-it-do-it-again
> **Original Source**: [Hugging Face](https://huggingface.co/blog/ibm-research/altk-evolve-consistency)
> **Author**: Hugging Face Staff (undefined)
> **Published Date**: Tuesday, September 15, 2026
> **Category**: PRODUCTS
> **Tags**: News, Hugging Face, AI

## Executive Summary
Read the complete in-depth coverage on the original source publication



## Full Coverage
Back to Articles a]:hidden"> Your Agent Aced the Task. Will It Do It Again? Enterprise Article Published September 15, 2026 Upvote 119 +113 Evelyn Duesterwald evduester Follow ibm-research Lilian Ngweta lilianngweta Follow ibm-research Vatche Isahagian Vatche Follow ibm-research Jayaram Radhakrishnan jayaramkr Follow ibm-research Vinod Muthusamy vinodmut Follow ibm-research Gaodan Fang gaodan-fang Follow ibm-research Ashwath Vaithinathan Aravindan ashwath-vaithina Follow ibm-research Punleuk Oum illeatmyhat Follow ibm-research G Thomas gsthomasx Follow ibm-research Merve Unuvar mrvnvr Follow ibm-research Ayhan Sebin ayhansebin Follow ibm-research Michał Ulewicz Michal Follow ibm-research :last-child]:mb-0"> The Metric Almost Nobody Reports Why Agents Flip: Sharp Decisions vs. Flat Ones Diagnose, Then Fix Results: Reducing the Gap Without Losing Accuracy The guidelines generalize — they aren't patching one trajectory If You're Shipping an Agent Try It Appendix: Understanding the Metrics Linked artifacts / references Your agent works in rehearsal, but during the live demo, it takes a different path and fails the same task

That is embarrassing onstage. In production, it is a reliability problem: a workflow that succeeded once may fail the next time a user makes the same request. For mission-critical work, such as reconciling a financial transaction or checking a contract for an obligation, that can be a showstopper

Most benchmarks hide this variability behind an average. On AppWorld, a ReAct agent using GPT-4.1 succeeded on 77.4% of runs across five repetitions. But it succeeded in all five runs for only 53.0% of tasks — a 24.4-point consistency gap

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