DS-022 Below threshold

Confidence is the weighted average of the domain scores below. The tick marks the constitutional threshold (85%) this intake must reach before a project can form.

Domain truth scores

Latest validation verdict

below threshold recorded 12/06/2026, 10:53:33

• Overall confidence ≥ threshold: got 56%, need ≥ 85%

Fastest path to threshold

Highest-leverage domains for overall confidence (weight × headroom to 90%):

• experience: 0% → 90% adds +11.3 pts overall
• technical: 0% → 90% adds +9.0 pts overall

Open questions

No open questions remain; every question the agent raised has been answered and retired.

Established facts (5)

Behind the scenes — audit trail for DS-022

Every action below was recorded append-only at the moment it happened. Expand an entry to see the raw payload — including the exact prompts sent to the model and the scores it returned.

1. 12/06/2026, 10:53:33agent:validationagent.run.end
   raw payload

   {
     "ok": true,
     "action": "evaluate_rules"
   }

2. 12/06/2026, 10:53:33agent:validationvalidation.fail
   raw payload

   {
     "checks": [
       {
         "pass": true,
         "actual": "80%",
         "expected": "≥ 70%",
         "rule_key": "business_truth_min",
         "severity": "critical",
         "description": "Business Truth ≥ 70%"
       },
       {
         "pass": true,
         "actual": "80%",
         "expected": "≥ 70%",
         "rule_key": "operations_truth_min",
         "severity": "critical",
         "description": "Operations Truth ≥ 70%"
       },
       {
         "pass": true,
         "actual": "80%",
         "expected": "≥ 60%",
         "rule_key": "trust_truth_min",
         "severity": "critical",
         "description": "Trust Truth ≥ 60%"
       },
       {
         "pass": true,
         "actual": "70%",
         "expected": "≥ 50%",
         "rule_key": "brand_truth_min",
         "severity": "high",
         "description": "Brand Truth ≥ 50%"
       },
       {
         "pass": true,
         "actual": "70%",
         "expected": "≥ 50%",
         "rule_key": "visual_truth_min",
         "severity": "high",
         "description": "Visual Truth ≥ 50%"
       },
       {
         "pass": true,
         "actual": "0 critical gap(s)",
         "expected": "0 critical gaps",
         "rule_key": "no_critical_gaps",
         "severity": "critical",
         "description": "No critical truth gaps"
       },
       {
         "pass": false,
         "actual": "56%",
         "expected": "≥ 85%",
         "rule_key": "formation_confidence",
         "severity": "critical",
         "description": "Overall confidence ≥ threshold"
       }
     ],
     "reasons": [
       "Overall confidence ≥ threshold: got 56%, need ≥ 85%"
     ]
   }

3. 12/06/2026, 10:53:32agent:validationagent.run.start
   raw payload

   {
     "task": "Constitution check for DS-022",
     "action": "evaluate_rules"
   }

4. 12/06/2026, 10:53:28agent:discoverydiscovery.scored
   raw payload

   {
     "summary": "All critical domains are addressed with sufficient specifics, while brand and visual domains have actionable details but still have minor gaps.",
     "confidence": 0.5575,
     "domain_scores": {
       "brand": 0.7,
       "trust": 0.8,
       "visual": 0.7,
       "business": 0.8,
       "operations": 0.8
     }
   }

5. 12/06/2026, 10:53:27agent:discoveryagent.run.end
   raw payload

   {
     "ok": true,
     "action": "extract_knowns"
   }

6. 12/06/2026, 10:53:27agent:discoveryagent.output.logged
   raw payload

   {
     "action": "extract_knowns",
     "output": {
       "knowns": [
         {
           "domain": "business",
           "statement": "They provide vehicle to taxi drivers on weekly rent",
           "confidence": 0.8
         },
         {
           "domain": "operations",
           "statement": "They have about 200 vehicles",
           "confidence": 0.8
         },
         {
           "domain": "trust",
           "statement": "All standard adopted for customer safety",
           "confidence": 0.8
         },
         {
           "domain": "brand",
           "statement": "Professional, convenient and trustworthy",
           "confidence": 0.7
         },
         {
           "domain": "visual",
           "statement": "React.js, tailwind etc",
           "confidence": 0.7
         }
       ],
       "summary": "All critical domains are addressed with sufficient specifics, while brand and visual domains have actionable details but still have minor gaps.",
       "unknowns": [],
       "domain_scores": {
         "brand": 0.7,
         "trust": 0.8,
         "visual": 0.7,
         "business": 0.8,
         "operations": 0.8
       }
     }
   }

7. 12/06/2026, 10:53:22agent:discoveryprompt.generated
   raw payload

   {
     "user": "{\"raw_request\":\"I want to make website for private hire company in Derby\",\"existing_knowns\":[],\"existing_unknowns\":[{\"domain\":\"business\",\"impact\":\"critical\",\"question\":\"What specific services will the private hire company offer?\",\"expected_confidence_gain\":0.3},{\"domain\":\"operations\",\"impact\":\"critical\",\"question\":\"What is the expected size of the fleet for the private hire company?\",\"expected_confidence_gain\":0.3},{\"domain\":\"trust\",\"impact\":\"critical\",\"question\":\"What measures will be taken to ensure customer safety and trust?\",\"expected_confidence_gain\":0.3},{\"domain\":\"brand\",\"impact\":\"high\",\"question\":\"What branding elements are you considering for the website?\",\"expected_confidence_gain\":0.2},{\"domain\":\"visual\",\"impact\":\"high\",\"question\":\"What design style or theme do you envision for the website?\",\"expected_confidence_gain\":0.2}],\"new_client_answers\":\"BUSINESS TRUTH:\\n- They provide vehicle to taxi drivers on weekly rent\\n\\nOPERATIONS TRUTH:\\n- They have about 200 vehicles\\n\\nTRUST TRUTH:\\n- All standard adopted for customer safety\\n\\nBRAND TRUTH:\\n- Professional , convenient and trust worthy\\n\\nVISUAL TRUTH:\\n- React.js , tailwind etc\",\"scoring_rubric\":{\"0.0-0.2\":\"No information provided — pure unknown\",\"0.2-0.4\":\"Domain mentioned but vague, no specifics\",\"0.4-0.6\":\"Some specifics but gaps remain\",\"0.6-0.75\":\"Clear concrete specifics that directly address the domain\",\"0.75-0.90\":\"Comprehensive answer with enough detail to act on\",\"0.90-1.0\":\"Fully evidenced, no material gaps\"},\"instruction\":\"Return JSON: {knowns:[{domain,statement,confidence}], unknowns:[{domain,question,impact,expected_confidence_gain}], domain_scores:{<domain>:0..1}, summary:string}. Use the scoring_rubric to set domain_scores. If new_client_answers directly addresses a domain with concrete specifics (price range, named delivery model, concrete audience), the score MUST be at least 0.70. Accumulate: new_client_answers adds to existing_knowns — do not reset scores already earned. Only keep a question in unknowns if it is genuinely unanswered by both the request and new_client_answers combined. RETIREMENT RULE: If new_client_answers addresses an existing unknown (directly or via its domain), that unknown MUST NOT appear in the output unknowns array — it has become a known. Never re-emit an answered question. Only emit a critical unknown if it concerns information that has genuinely never been provided in any round. 0.75 means actionable, not flawless. Do not penalise for perfection. CONVERGENCE RULE: when a domain has comprehensive, actionable detail and zero remaining unknowns in that domain, score it 0.90 or higher. Reserve 0.75-0.85 for domains that still have minor gaps. Never park a fully-answered domain at exactly 0.75. The confidence values on existing_knowns are historical floors, not ceilings — when the accumulated evidence for a domain is comprehensive, score the domain above those stored values.\"}",
     "stage": "discovery",
     "action": "extract_knowns",
     "system": "You are the Discovery Agent inside Verilogix OS, a governed discovery runtime.\nFramework: Verilogix Constitution v1.0. Stage: discovery. Task: Decompose the request into truth domains.\nYou may ONLY perform: extract_knowns, generate_questions, update_domain_scores.\nYou must NEVER: create_project, approve, write_evidence, modify_rules.\nConstitution rules in force:\n- [critical] Business Truth ≥ 70%\n- [critical] Operations Truth ≥ 70%\n- [critical] Trust Truth ≥ 60%\n- [high] Brand Truth ≥ 50%\n- [high] Visual Truth ≥ 50%\n- [critical] No critical truth gaps\n- [critical] Overall confidence ≥ threshold\nTruth domains: business, operations, trust, brand, visual, experience, technical, compliance.\nSTRICT ENUM RULES — output is machine-validated; any violation is a hard failure:\n  \"impact\" MUST be exactly one of: \"critical\" | \"high\" | \"mid\" | \"low\"\n    - Use \"mid\" for anything medium/moderate/normal. NEVER write \"Medium\" or \"Moderate\".\n    - All values must be lowercase. \"High\" is WRONG. \"high\" is CORRECT.\n  \"domain\" MUST be exactly one of the truth domains listed below.\n    - All values must be lowercase. \"Business\" is WRONG. \"business\" is CORRECT.\nRespond ONLY with valid JSON matching the requested contract. No prose, no markdown fences."
   }

8. 12/06/2026, 10:53:21agent:discoveryagent.run.start
   raw payload

   {
     "task": "Extract knowns/unknowns for DS-022",
     "action": "extract_knowns"
   }

9. 12/06/2026, 10:51:41agent:discoverydiscovery.scored
   raw payload

   {
     "summary": "The request lacks specific details regarding services, operations, trust measures, branding, and visual design for the website.",
     "confidence": 0,
     "domain_scores": {
       "brand": 0,
       "trust": 0,
       "visual": 0,
       "business": 0,
       "technical": 0,
       "compliance": 0,
       "experience": 0,
       "operations": 0
     }
   }

10. 12/06/2026, 10:51:41agent:discoveryagent.run.end
    raw payload

    {
      "ok": true,
      "action": "extract_knowns"
    }

11. 12/06/2026, 10:51:41agent:discoveryagent.output.logged
    raw payload

    {
      "action": "extract_knowns",
      "output": {
        "knowns": [],
        "summary": "The request lacks specific details regarding services, operations, trust measures, branding, and visual design for the website.",
        "unknowns": [
          {
            "domain": "business",
            "impact": "critical",
            "question": "What specific services will the private hire company offer?",
            "expected_confidence_gain": 0.3
          },
          {
            "domain": "operations",
            "impact": "critical",
            "question": "What is the expected size of the fleet for the private hire company?",
            "expected_confidence_gain": 0.3
          },
          {
            "domain": "trust",
            "impact": "critical",
            "question": "What measures will be taken to ensure customer safety and trust?",
            "expected_confidence_gain": 0.3
          },
          {
            "domain": "brand",
            "impact": "high",
            "question": "What branding elements are you considering for the website?",
            "expected_confidence_gain": 0.2
          },
          {
            "domain": "visual",
            "impact": "high",
            "question": "What design style or theme do you envision for the website?",
            "expected_confidence_gain": 0.2
          }
        ],
        "domain_scores": {
          "brand": 0,
          "trust": 0,
          "visual": 0,
          "business": 0,
          "technical": 0,
          "compliance": 0,
          "experience": 0,
          "operations": 0
        }
      }
    }

12. 12/06/2026, 10:51:32agent:discoveryprompt.generated
    raw payload

    {
      "user": "{\"raw_request\":\"I want to make website for private hire company in Derby\",\"existing_knowns\":[],\"existing_unknowns\":[],\"new_client_answers\":null,\"scoring_rubric\":{\"0.0-0.2\":\"No information provided — pure unknown\",\"0.2-0.4\":\"Domain mentioned but vague, no specifics\",\"0.4-0.6\":\"Some specifics but gaps remain\",\"0.6-0.75\":\"Clear concrete specifics that directly address the domain\",\"0.75-0.90\":\"Comprehensive answer with enough detail to act on\",\"0.90-1.0\":\"Fully evidenced, no material gaps\"},\"instruction\":\"Return JSON: {knowns:[{domain,statement,confidence}], unknowns:[{domain,question,impact,expected_confidence_gain}], domain_scores:{<domain>:0..1}, summary:string}. Use the scoring_rubric to set domain_scores. If new_client_answers directly addresses a domain with concrete specifics (price range, named delivery model, concrete audience), the score MUST be at least 0.70. Accumulate: new_client_answers adds to existing_knowns — do not reset scores already earned. Only keep a question in unknowns if it is genuinely unanswered by both the request and new_client_answers combined. RETIREMENT RULE: If new_client_answers addresses an existing unknown (directly or via its domain), that unknown MUST NOT appear in the output unknowns array — it has become a known. Never re-emit an answered question. Only emit a critical unknown if it concerns information that has genuinely never been provided in any round. 0.75 means actionable, not flawless. Do not penalise for perfection. CONVERGENCE RULE: when a domain has comprehensive, actionable detail and zero remaining unknowns in that domain, score it 0.90 or higher. Reserve 0.75-0.85 for domains that still have minor gaps. Never park a fully-answered domain at exactly 0.75. The confidence values on existing_knowns are historical floors, not ceilings — when the accumulated evidence for a domain is comprehensive, score the domain above those stored values.\"}",
      "stage": "discovery",
      "action": "extract_knowns",
      "system": "You are the Discovery Agent inside Verilogix OS, a governed discovery runtime.\nFramework: Verilogix Constitution v1.0. Stage: discovery. Task: Decompose the request into truth domains.\nYou may ONLY perform: extract_knowns, generate_questions, update_domain_scores.\nYou must NEVER: create_project, approve, write_evidence, modify_rules.\nConstitution rules in force:\n- [critical] Business Truth ≥ 70%\n- [critical] Operations Truth ≥ 70%\n- [critical] Trust Truth ≥ 60%\n- [high] Brand Truth ≥ 50%\n- [high] Visual Truth ≥ 50%\n- [critical] No critical truth gaps\n- [critical] Overall confidence ≥ threshold\nTruth domains: business, operations, trust, brand, visual, experience, technical, compliance.\nSTRICT ENUM RULES — output is machine-validated; any violation is a hard failure:\n  \"impact\" MUST be exactly one of: \"critical\" | \"high\" | \"mid\" | \"low\"\n    - Use \"mid\" for anything medium/moderate/normal. NEVER write \"Medium\" or \"Moderate\".\n    - All values must be lowercase. \"High\" is WRONG. \"high\" is CORRECT.\n  \"domain\" MUST be exactly one of the truth domains listed below.\n    - All values must be lowercase. \"Business\" is WRONG. \"business\" is CORRECT.\nRespond ONLY with valid JSON matching the requested contract. No prose, no markdown fences."
    }

13. 12/06/2026, 10:51:32agent:discoveryagent.run.start
    raw payload

    {
      "task": "Extract knowns/unknowns for DS-022",
      "action": "extract_knowns"
    }

14. 12/06/2026, 10:51:29systemdiscovery.session.created
    raw payload

    {
      "code": "DS-022",
      "raw_request": "I want to make website for private hire company in Derby"
    }