[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-new-framework-grades-ai-agents-one-step-at-a-time":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},3692,"a-new-framework-grades-ai-agents-one-step-at-a-time","A New Framework Grades AI Agents One Step at a Time","Agent Step Value measures how each action shifts an AI agent's belief state, giving developers step-level diagnostics instead of just a final pass\u002Ffail score.","A research paper introduces a step-by-step scoring method for AI agents, challenging the field's reliance on final-answer benchmarks.\n\nResearchers introduced Agent Step Value (ASV), a framework that scores each action an agent takes by measuring how that action shifts a language model evaluator's probability distribution over possible outcomes. Rather than collapsing an entire multi-step trace into a single success flag, ASV renders before-and-after snapshots of task state and asks a stateless LLM to score what changed. The team tested ASV on 100 open question-answering tasks using live PubMed data, evaluating 1,100 individual steps across 2,200 state pairs. They released the ASV Eval toolkit as a standalone open-source package alongside the paper.\n\nMost agent benchmarks reward getting the right final answer, which says nothing about whether the path there was sensible or lucky. Step-level diagnostics let developers pinpoint the exact action where a multi-step chain went wrong, which matters when agents run automated workflows that no human is watching closely. As agentic systems take on longer, higher-stakes tasks, a binary pass-or-fail score is an increasingly poor diagnostic.\n\nASV depends on an LLM evaluator's log-probabilities, so its quality is bounded by whichever model you plug in - a limitation the broader \"LLM-as-judge\" literature has not solved yet.","[\"ai\",\"agents\",\"benchmarks\",\"research\"]","2026-07-07T04:00:00.000Z","2026-07-07T05:58:39.436Z","2026-07-07T05:58:42.264Z","published",null,[],"ai",[24,26,27,28],"agents","benchmarks","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.04419",0,{"sections":35},[36,40,45,50,55,60,65,70,75,79,84,88,93,98],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":80,"slug":81,"count":82,"latest_published_at":83},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":85,"slug":86,"count":82,"latest_published_at":87},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]