Guardrails AI

Quadrant distribution

Jev `choice` — not a hard 0.5 cut. Confidence 0.61.

• Directed8.0%
• Forming71.0%
• Anchored0.0%
• Operational21.0%

Evidence ledger

Recency half-life 180 days. Weight = 2^(-age/180).

1. product · accessed 2026-09-24 · w=0.996

   Guardrails AI site

   The Guardrails AI site describes validators and rails for structuring and checking LLM outputs. No additional dated 2026 announcement was retrieved for this pack.

Reproducibility

resolved model: jev-1.13.0

requested model: jev-latest

request id: req_01a0d5e1aa0177829e24facafe799052

timestamp: 2026-09-25T00:05:17.859Z

request hash: f2dcda5b25f253f3f323ffebcad05f832d7bac623dc4f480133f73a6305b46c8

{
  "model": "jev-latest",
  "state": {
    "goal": "Score this entity on the Jev Quadrant rubric using only the supplied evidence.",
    "framework": "jev-quadrant-v1",
    "topic": {
      "id": "agent-observability",
      "title": "Agent observability and guardrails",
      "x_axis": "Proven Execution",
      "y_axis": "Validated Direction"
    },
    "entity": {
      "id": "guardrails-ai",
      "name": "Guardrails AI",
      "website": "https://www.guardrailsai.com",
      "description": "Open-source and commercial validators for LLM outputs."
    },
    "evidence": [
      {
        "id": "guardrails-site",
        "kind": "product",
        "url": "https://www.guardrailsai.com",
        "date": "2026-09-24",
        "date_kind": "accessed",
        "recency_weight": 0.9962,
        "summary": "The Guardrails AI site describes validators and rails for structuring and checking LLM outputs. No additional dated 2026 announcement was retrieved for this pack.",
        "title": "Guardrails AI site"
      }
    ],
    "claims": [],
    "independent_checks": [],
    "recency": {
      "half_life_days": 180,
      "as_of": "2026-09-25",
      "mass": 0.9962
    }
  },
  "questions": {
    "exec_shipped": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Has this entity shipped a generally available product used by third parties?",
      "criteria": {
        "true": "Independent public evidence shows a generally available product used by third parties.",
        "false": "The product is announced, preview-only, or evidenced only by unsourced vendor marketing with no third-party use."
      }
    },
    "exec_adoption": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there credible adoption evidence?",
      "criteria": {
        "true": "Credible adoption evidence exists: named customers, published user or download counts, case studies, or equivalent.",
        "false": "Adoption claims are absent, purely anecdotal, or unsourced."
      }
    },
    "exec_reliability": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of reliability, quality, security/compliance, or operational maturity?",
      "criteria": {
        "true": "Evidence of reliability, quality, security/compliance, or operational maturity (uptime, incidents handled, certifications, long-running open-source project).",
        "false": "No reliability or quality evidence is present."
      }
    },
    "exec_cadence": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of continued delivery after launch?",
      "criteria": {
        "true": "Evidence of continued delivery after launch (dated releases, changelog, subsequent features).",
        "false": "Delivery appears one-shot or stalled."
      }
    },
    "dir_strategy": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there a specific, consistent, dated public strategy or roadmap?",
      "criteria": {
        "true": "A public strategy or roadmap is specific, consistent, and dated.",
        "false": "Direction is vague, contradictory, or only implied."
      }
    },
    "dir_backed": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Are strategy or roadmap claims backed by shipped artifacts in the evidence pack?",
      "criteria": {
        "true": "Roadmap or strategy claims are backed by shipped artifacts in the evidence pack.",
        "false": "Direction is promised without corresponding delivery evidence."
      }
    },
    "dir_distinct": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is the evidenced direction distinct from generic category copy?",
      "criteria": {
        "true": "The evidenced direction is distinct from generic category copy.",
        "false": "Positioning is interchangeable with peers."
      }
    },
    "dir_invested": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of sustained investment in this product?",
      "criteria": {
        "true": "Evidence of sustained investment (funding used for the product, research, open-source velocity, or platform expansion).",
        "false": "No evidence of continued investment."
      }
    },
    "quadrant": {
      "type": "choice",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Assign the entity to one Jev Quadrant cell. Do not use a hard 0.5 cut. Weigh the full evidence pack.",
      "criteria": {
        "ANCHORED": "Both delivery (proven execution) and evidenced direction (validated direction) are strong.",
        "DIRECTED": "Validated direction is better evidenced than proven execution.",
        "OPERATIONAL": "Proven execution is better evidenced than validated direction.",
        "FORMING": "Both axes are thin, early, or contradicted."
      }
    }
  }
}

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