{
  "schema_version": 1,
  "builder_plan": {
    "scenario": "An assistant chooses the wrong API or sends arguments your product cannot use.",
    "change": "Apply the proposed tool-selection or argument-generation change in a sandbox.",
    "baseline": "Your current agent with the same tool schemas and task budget.",
    "steps": [
      "Locate the paper's implementation and check its license, model support, data needs, and hardware requirements. Stop here if you cannot obtain the required artifacts.",
      "Save a small set of representative product tasks and expected outcomes. Keep evaluation tasks out of any training or tuning, and choose quality and cost limits before running.",
      "Run the baseline and the proposed change on identical inputs. Keep other settings fixed and repeat paired runs to expose variation.",
      "Save per-task outputs, failures, timings, and all usage costs. Review regressions before expanding the test."
    ],
    "measure": "Correct completed actions, invalid calls, retries, latency, and cost per completed task.",
    "decision": "Keep the change only if it meets your preselected quality and latency limits and improves the metric you care about after setup and operating costs. Otherwise retain the baseline. This is an exploration plan, not a validated recommendation."
  },
  "builder_review": null,
  "arxiv_id": "2609.19125",
  "title": "Affora: A Design System for Agent-Friendly Interfaces",
  "summary": "Affora replaces ad hoc or agent-only interfaces (such as raw DOM/screenshot parsing or separate machine-facing endpoints) with a shared design system that embeds machine-readable interaction meaning into standard UI components. It costs design and engineering effort to adopt its component implementations and executable checks, plus ongoing constraint on interface structure, though the authors claim visual freedom is largely preserved. It can fail where existing interfaces already expose adequate interaction semantics, where deficits fall outside its component coverage, or when third-party interfaces cannot be modified at all.",
  "rationale": "This is a design system for teams authoring interfaces that agents must operate, so it is relevant only if the reader ships UIs used by computer-use agents, and its unquantified, coverage-dependent gains do not justify adoption as a general agent-engineering practice.",
  "technique": "Agent-friendly UI design system (Affora)",
  "family": "uso_de_ferramenta",
  "recommendation": "observar",
  "published": "2026-09-16",
  "as_of": "2026-10-18",
  "editorial_status": "indexed",
  "source_url": "https://arxiv.org/abs/2609.19125",
  "independent_implementations": 0,
  "total_implementations": 0,
  "stars": 0,
  "citations": 0,
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      "claim_id": "claim-01",
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      "result": "",
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      "source_url": "https://arxiv.org/abs/2609.19125",
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      "source_excerpt": ""
    }
  ],
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    },
    {
      "dimension": "security",
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    },
    {
      "dimension": "data_and_training",
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    },
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      "dimension": "reproducibility",
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    }
  ],
  "risks": [],
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  "lab_reproductions": [],
  "report_available": false,
  "validation_tier": "unknown",
  "evidence_tier": "unknown",
  "infrastructure_basis": "unknown",
  "equations": [],
  "equations_status": "not_fetched",
  "core_kind": "",
  "equations_fetched_at": "",
  "equations_source_url": "",
  "equations_source_sha256": "",
  "exposures_reviewed_at": "",
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}