DS-026 In discovery

Start discovery

No discovery run has been recorded for this intake; run it to analyse the request, score the truth domains and raise the first open questions.

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

Open questions

Questions appear after the first discovery run; use Start discovery below to analyse the request.

Established facts (0)

Behind the scenes — audit trail for DS-026

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, 23:05:53agent:discoveryagent.run.error
   raw payload

   {
     "error": "Error: 401 Incorrect API key provided: sk-proj-********************************************************************************************************************************************************mC0A. You can find your API key at https://platform.openai.com/account/api-keys.",
     "action": "extract_knowns"
   }

2. 12/06/2026, 23:05:52agent:discoveryprompt.generated
   raw payload

   {
     "user": "{\"raw_request\":\"I need a website with a back end engine that services expedition experiences in the north of Pakistan; audience is in the UK.\",\"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."
   }

3. 12/06/2026, 23:05:52agent:discoveryagent.run.start
   raw payload

   {
     "task": "Extract knowns/unknowns for DS-026",
     "action": "extract_knowns"
   }

4. 12/06/2026, 23:05:52systemdiscovery.session.created
   raw payload

   {
     "code": "DS-026",
     "raw_request": "I need a website with a back end engine that services expedition experiences in the north of Pakistan; audience is in the UK."
   }