Intake
DS-017 Ready to form
I need a website with a back end engine that services expedition experiences in the north of Pakistan; audience is in the UK.
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
pass recorded 12/06/2026, 10:31:56
All constitutional rules satisfied.
4 validations recorded for this intake — full history in the audit log below.
Open questions
No open questions remain; every question the agent raised has been answered and retired.
Form the project
Forming requires a passing validation and an approved formation request; the database gate enforces this even if this page is bypassed.
Established facts (8)
| Domain | Statement | Confidence |
|---|---|---|
| business | Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings. | 90% |
| operations | Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling. | 90% |
| trust | Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance. | 80% |
| brand | Voice: expedition-grade, serious, field-issued — not a package holiday brand. Personality: expert, trustworthy, quietly adventurous — closer to Patagonia than TUI. Positioning: "The only UK operator with permanent local presence in northern Pakistan". Differentiator: trust, local knowledge, custom curation — not price. | 90% |
| visual | Aesthetic: cinematic mountain photography, dark editorial palette, high contrast. Feel: immersive, serious, field-issued — think National Geographic not Thomas Cook. Reference brands: Arc'teryx, Alpkit, Roam. Key visual asset: original photography from 12 past expeditions available. | 90% |
| experience | User journey: browse expeditions by region/difficulty/date → expedition detail page with full itinerary, kit list, lead guide profile → enquiry form → custom itinerary sent within 48h → deposit payment confirms booking → automated pre-departure emails (visa guidance, kit checklist, fitness plan) → post-trip review request. Mobile-first: most discovery traffic arrives from Instagram on mobile, so the browsing and enquiry flow must be flawless on small screens. Content experience: long-form expedition journals and route photography to build desire and trust before the enquiry. | 90% |
| technical | Stack: Next.js front end hosted on Vercel; bookings and enquiries stored in Supabase. Payments: Stripe for deposits and balance payments (GBP), invoices auto-emailed. Transactional email via Resend; expedition availability managed in a simple admin table. No native app in V1; target Lighthouse performance ≥ 90 on mobile. Back end engine scope for V1: enquiry pipeline, itinerary builder, deposit handling, pre-departure email automation. | 90% |
| compliance | GDPR-compliant data handling, UK ICO registration, cookie consent banner. Package Travel Regulations 2018 compliance for multi-day trips, with customer payments financially protected via trust account. Participant medical declarations collected and stored encrypted. FCDO travel advice for northern Pakistan linked and acknowledged at booking; terms of service drafted by a solicitor. | 90% |
Behind the scenes — audit trail for DS-017
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.
- 12/06/2026, 10:31:57agent:validationagent.run.end
raw payload
{ "ok": true, "action": "evaluate_rules" } - 12/06/2026, 10:31:57agent:validationvalidation.pass
raw payload
{ "checks": [ { "pass": true, "actual": "90%", "expected": "≥ 70%", "rule_key": "business_truth_min", "severity": "critical", "description": "Business Truth ≥ 70%" }, { "pass": true, "actual": "90%", "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": "90%", "expected": "≥ 50%", "rule_key": "brand_truth_min", "severity": "high", "description": "Brand Truth ≥ 50%" }, { "pass": true, "actual": "90%", "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": true, "actual": "89%", "expected": "≥ 85%", "rule_key": "formation_confidence", "severity": "critical", "description": "Overall confidence ≥ threshold" } ], "reasons": [] } - 12/06/2026, 10:31:56agent:validationagent.run.start
raw payload
{ "task": "Constitution check for DS-017", "action": "evaluate_rules" } - 12/06/2026, 10:31:56agent:discoverydiscovery.scored
raw payload
{ "summary": "All truth domains have been comprehensively addressed with actionable specifics, resulting in high confidence scores across the board.", "confidence": 0.885, "domain_scores": { "brand": 0.9, "trust": 0.8, "visual": 0.9, "business": 0.9, "technical": 0.9, "compliance": 0.9, "experience": 0.9, "operations": 0.9 } } - 12/06/2026, 10:31:56agent:discoveryagent.run.end
raw payload
{ "ok": true, "action": "extract_knowns" } - 12/06/2026, 10:31:55agent:discoveryagent.output.logged
raw payload
{ "action": "extract_knowns", "output": { "knowns": [ { "domain": "business", "statement": "Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings.", "confidence": 0.9 }, { "domain": "operations", "statement": "Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling.", "confidence": 0.9 }, { "domain": "trust", "statement": "Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance.", "confidence": 0.8 }, { "domain": "brand", "statement": "Voice: expedition-grade, serious, field-issued — not a package holiday brand. Personality: expert, trustworthy, quietly adventurous — closer to Patagonia than TUI. Positioning: \"The only UK operator with permanent local presence in northern Pakistan\". Differentiator: trust, local knowledge, custom curation — not price.", "confidence": 0.9 }, { "domain": "visual", "statement": "Aesthetic: cinematic mountain photography, dark editorial palette, high contrast. Feel: immersive, serious, field-issued — think National Geographic not Thomas Cook. Reference brands: Arc'teryx, Alpkit, Roam. Key visual asset: original photography from 12 past expeditions available.", "confidence": 0.9 }, { "domain": "experience", "statement": "User journey: browse expeditions by region/difficulty/date → expedition detail page with full itinerary, kit list, lead guide profile → enquiry form → custom itinerary sent within 48h → deposit payment confirms booking → automated pre-departure emails (visa guidance, kit checklist, fitness plan) → post-trip review request. Mobile-first: most discovery traffic arrives from Instagram on mobile, so the browsing and enquiry flow must be flawless on small screens. Content experience: long-form expedition journals and route photography to build desire and trust before the enquiry.", "confidence": 0.9 }, { "domain": "technical", "statement": "Stack: Next.js front end hosted on Vercel; bookings and enquiries stored in Supabase. Payments: Stripe for deposits and balance payments (GBP), invoices auto-emailed. Transactional email via Resend; expedition availability managed in a simple admin table. No native app in V1; target Lighthouse performance ≥ 90 on mobile. Back end engine scope for V1: enquiry pipeline, itinerary builder, deposit handling, pre-departure email automation.", "confidence": 0.9 }, { "domain": "compliance", "statement": "GDPR-compliant data handling, UK ICO registration, cookie consent banner. Package Travel Regulations 2018 compliance for multi-day trips, with customer payments financially protected via trust account. Participant medical declarations collected and stored encrypted. FCDO travel advice for northern Pakistan linked and acknowledged at booking; terms of service drafted by a solicitor.", "confidence": 0.9 } ], "summary": "All truth domains have been comprehensively addressed with actionable specifics, resulting in high confidence scores across the board.", "unknowns": [], "domain_scores": { "brand": 0.9, "trust": 0.8, "visual": 0.9, "business": 0.9, "technical": 0.9, "compliance": 0.9, "experience": 0.9, "operations": 0.9 } } } - 12/06/2026, 10:31:29agent: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\":[{\"domain\":\"business\",\"statement\":\"Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"operations\",\"statement\":\"Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"trust\",\"statement\":\"Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance.\",\"confidence\":0.7,\"evidence_id\":null},{\"domain\":\"brand\",\"statement\":\"Voice: expedition-grade, serious, field-issued — not a package holiday brand. Personality: expert, trustworthy, quietly adventurous — closer to Patagonia than TUI. Positioning: \\\"The only UK operator with permanent local presence in northern Pakistan\\\". Differentiator: trust, local knowledge, custom curation — not price.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"visual\",\"statement\":\"Aesthetic: cinematic mountain photography, dark editorial palette, high contrast. Feel: immersive, serious, field-issued — think National Geographic not Thomas Cook. Reference brands: Arc'teryx, Alpkit, Roam. Key visual asset: original photography from 12 past expeditions available.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"experience\",\"statement\":\"User journey: browse expeditions by region/difficulty/date → expedition detail page with full itinerary, kit list, lead guide profile → enquiry form → custom itinerary sent within 48h → deposit payment confirms booking → automated pre-departure emails (visa guidance, kit checklist, fitness plan) → post-trip review request. Mobile-first: most discovery traffic arrives from Instagram on mobile, so the browsing and enquiry flow must be flawless on small screens. Content experience: long-form expedition journals and route photography to build desire and trust before the enquiry.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"technical\",\"statement\":\"Stack: Next.js front end hosted on Vercel; bookings and enquiries stored in Supabase. Payments: Stripe for deposits and balance payments (GBP), invoices auto-emailed. Transactional email via Resend; expedition availability managed in a simple admin table. No native app in V1; target Lighthouse performance ≥ 90 on mobile. Back end engine scope for V1: enquiry pipeline, itinerary builder, deposit handling, pre-departure email automation.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"compliance\",\"statement\":\"GDPR-compliant data handling, UK ICO registration, cookie consent banner. Package Travel Regulations 2018 compliance for multi-day trips, with customer payments financially protected via trust account. Participant medical declarations collected and stored encrypted. FCDO travel advice for northern Pakistan linked and acknowledged at booking; terms of service drafted by a solicitor.\",\"confidence\":0.8,\"evidence_id\":null}],\"existing_unknowns\":[],\"new_client_answers\":\"\\n CONSOLIDATION ROUND — no new questions remain and every domain has been answered\\n with concrete, actionable specifics across rounds: pricing (£2,000–£5,000), delivery\\n model (UK office + vetted local guides), audience (UK adventure travellers 28–45),\\n full user journey, complete tech stack (Next.js/Vercel/Supabase/Stripe/Resend),\\n brand and visual references, insurance, reviews, GDPR/PTR-2018 compliance, FCDO\\n acknowledgement and solicitor-drafted terms. Per the scoring rubric, domains with\\n comprehensive, actionable detail and no material gaps score 0.90+. There are zero\\n open unknowns. Score each domain accordingly.\\n \",\"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." } - 12/06/2026, 10:31:29agent:discoveryagent.run.start
raw payload
{ "task": "Extract knowns/unknowns for DS-017", "action": "extract_knowns" } - 12/06/2026, 10:28:16agent:validationagent.run.end
raw payload
{ "ok": true, "action": "evaluate_rules" } - 12/06/2026, 10:28:16agent: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": "70%", "expected": "≥ 60%", "rule_key": "trust_truth_min", "severity": "critical", "description": "Trust Truth ≥ 60%" }, { "pass": true, "actual": "80%", "expected": "≥ 50%", "rule_key": "brand_truth_min", "severity": "high", "description": "Brand Truth ≥ 50%" }, { "pass": true, "actual": "80%", "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": "79%", "expected": "≥ 85%", "rule_key": "formation_confidence", "severity": "critical", "description": "Overall confidence ≥ threshold" } ], "reasons": [ "Overall confidence ≥ threshold: got 79%, need ≥ 85%" ] } - 12/06/2026, 10:28:15agent:validationagent.run.start
raw payload
{ "task": "Constitution check for DS-017", "action": "evaluate_rules" } - 12/06/2026, 10:28:15agent:discoverydiscovery.scored
raw payload
{ "summary": "All truth domains have been addressed with comprehensive specifics, resulting in high confidence scores across the board.", "confidence": 0.785, "domain_scores": { "brand": 0.8, "trust": 0.7, "visual": 0.8, "business": 0.8, "technical": 0.8, "compliance": 0.8, "experience": 0.8, "operations": 0.8 } } - 12/06/2026, 10:28:15agent:discoveryagent.run.end
raw payload
{ "ok": true, "action": "extract_knowns" } - 12/06/2026, 10:28:15agent:discoveryagent.output.logged
raw payload
{ "action": "extract_knowns", "output": { "knowns": [ { "domain": "business", "statement": "Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings.", "confidence": 0.8 }, { "domain": "operations", "statement": "Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling.", "confidence": 0.8 }, { "domain": "trust", "statement": "Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance.", "confidence": 0.7 }, { "domain": "brand", "statement": "Voice: expedition-grade, serious, field-issued — not a package holiday brand. Personality: expert, trustworthy, quietly adventurous — closer to Patagonia than TUI. Positioning: \"The only UK operator with permanent local presence in northern Pakistan\". Differentiator: trust, local knowledge, custom curation — not price.", "confidence": 0.8 }, { "domain": "visual", "statement": "Aesthetic: cinematic mountain photography, dark editorial palette, high contrast. Feel: immersive, serious, field-issued — think National Geographic not Thomas Cook. Reference brands: Arc'teryx, Alpkit, Roam. Key visual asset: original photography from 12 past expeditions available.", "confidence": 0.8 }, { "domain": "experience", "statement": "User journey: browse expeditions by region/difficulty/date → expedition detail page with full itinerary, kit list, lead guide profile → enquiry form → custom itinerary sent within 48h → deposit payment confirms booking → automated pre-departure emails (visa guidance, kit checklist, fitness plan) → post-trip review request. Mobile-first: most discovery traffic arrives from Instagram on mobile, so the browsing and enquiry flow must be flawless on small screens. Content experience: long-form expedition journals and route photography to build desire and trust before the enquiry.", "confidence": 0.8 }, { "domain": "technical", "statement": "Stack: Next.js front end hosted on Vercel; bookings and enquiries stored in Supabase. Payments: Stripe for deposits and balance payments (GBP), invoices auto-emailed. Transactional email via Resend; expedition availability managed in a simple admin table. No native app in V1; target Lighthouse performance ≥ 90 on mobile. Back end engine scope for V1: enquiry pipeline, itinerary builder, deposit handling, pre-departure email automation.", "confidence": 0.8 }, { "domain": "compliance", "statement": "GDPR-compliant data handling, UK ICO registration, cookie consent banner. Package Travel Regulations 2018 compliance for multi-day trips, with customer payments financially protected via trust account. Participant medical declarations collected and stored encrypted. FCDO travel advice for northern Pakistan linked and acknowledged at booking; terms of service drafted by a solicitor.", "confidence": 0.8 } ], "summary": "All truth domains have been addressed with comprehensive specifics, resulting in high confidence scores across the board.", "unknowns": [], "domain_scores": { "brand": 0.8, "trust": 0.7, "visual": 0.8, "business": 0.8, "technical": 0.8, "compliance": 0.8, "experience": 0.8, "operations": 0.8 } } } - 12/06/2026, 10:27:55agent: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\":[{\"domain\":\"business\",\"statement\":\"Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"operations\",\"statement\":\"Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"trust\",\"statement\":\"Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance.\",\"confidence\":0.7,\"evidence_id\":null},{\"domain\":\"brand\",\"statement\":\"Voice: expedition-grade, serious, field-issued — not a package holiday brand. Personality: expert, trustworthy, quietly adventurous — closer to Patagonia than TUI. Positioning: \\\"The only UK operator with permanent local presence in northern Pakistan\\\". Differentiator: trust, local knowledge, custom curation — not price.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"visual\",\"statement\":\"Aesthetic: cinematic mountain photography, dark editorial palette, high contrast. Feel: immersive, serious, field-issued — think National Geographic not Thomas Cook. Reference brands: Arc'teryx, Alpkit, Roam. Key visual asset: original photography from 12 past expeditions available.\",\"confidence\":0.8,\"evidence_id\":null}],\"existing_unknowns\":[],\"new_client_answers\":\"\\n EXPERIENCE TRUTH:\\n - User journey: browse expeditions by region/difficulty/date → expedition detail page\\n with full itinerary, kit list, lead guide profile → enquiry form → custom itinerary\\n sent within 48h → deposit payment confirms booking → automated pre-departure emails\\n (visa guidance, kit checklist, fitness plan) → post-trip review request\\n - Mobile-first: most discovery traffic arrives from Instagram on mobile, so the\\n browsing and enquiry flow must be flawless on small screens\\n - Content experience: long-form expedition journals and route photography to build\\n desire and trust before the enquiry\\n\\n TECHNICAL TRUTH:\\n - Stack: Next.js front end hosted on Vercel; bookings and enquiries stored in Supabase\\n - Payments: Stripe for deposits and balance payments (GBP), invoices auto-emailed\\n - Transactional email via Resend; expedition availability managed in a simple admin table\\n - No native app in V1; target Lighthouse performance ≥ 90 on mobile\\n - Back end engine scope for V1: enquiry pipeline, itinerary builder, deposit handling,\\n pre-departure email automation\\n\\n COMPLIANCE TRUTH:\\n - GDPR-compliant data handling, UK ICO registration, cookie consent banner\\n - Package Travel Regulations 2018 compliance for multi-day trips, with customer\\n payments financially protected via trust account\\n - Participant medical declarations collected and stored encrypted\\n - FCDO travel advice for northern Pakistan linked and acknowledged at booking;\\n terms of service drafted by a solicitor\\n\\n NOTE TO DISCOVERY AGENT: the three blocks above, combined with rounds 1 and 2,\\n answer all previously open questions. Treat every earlier unknown as resolved —\\n do not re-emit answered questions as unknowns, and do not mark any unknown as\\n critical unless it concerns information never provided in any round.\\n \",\"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." } - 12/06/2026, 10:27:55agent:discoveryagent.run.start
raw payload
{ "task": "Extract knowns/unknowns for DS-017", "action": "extract_knowns" } - 12/06/2026, 10:27:54agent:validationagent.run.end
raw payload
{ "ok": true, "action": "evaluate_rules" } - 12/06/2026, 10:27:54agent: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": "70%", "expected": "≥ 60%", "rule_key": "trust_truth_min", "severity": "critical", "description": "Trust Truth ≥ 60%" }, { "pass": true, "actual": "80%", "expected": "≥ 50%", "rule_key": "brand_truth_min", "severity": "high", "description": "Brand Truth ≥ 50%" }, { "pass": true, "actual": "80%", "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%" ] } - 12/06/2026, 10:27:54agent:validationagent.run.start
raw payload
{ "task": "Constitution check for DS-017", "action": "evaluate_rules" } - 12/06/2026, 10:27:54agent:discoverydiscovery.scored
raw payload
{ "summary": "All critical truth domains have been addressed with sufficient detail, resulting in no remaining unknowns.", "confidence": 0.565, "domain_scores": { "brand": 0.8, "trust": 0.7, "visual": 0.8, "business": 0.8, "technical": 0, "compliance": 0, "experience": 0, "operations": 0.8 } } - 12/06/2026, 10:27:54agent:discoveryagent.run.end
raw payload
{ "ok": true, "action": "extract_knowns" } - 12/06/2026, 10:27:53agent:discoveryagent.output.logged
raw payload
{ "action": "extract_knowns", "output": { "knowns": [ { "domain": "business", "statement": "Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings.", "confidence": 0.8 }, { "domain": "operations", "statement": "Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling.", "confidence": 0.8 }, { "domain": "trust", "statement": "Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance.", "confidence": 0.7 }, { "domain": "brand", "statement": "Voice: expedition-grade, serious, field-issued — not a package holiday brand. Personality: expert, trustworthy, quietly adventurous — closer to Patagonia than TUI. Positioning: \"The only UK operator with permanent local presence in northern Pakistan\". Differentiator: trust, local knowledge, custom curation — not price.", "confidence": 0.8 }, { "domain": "visual", "statement": "Aesthetic: cinematic mountain photography, dark editorial palette, high contrast. Feel: immersive, serious, field-issued — think National Geographic not Thomas Cook. Reference brands: Arc'teryx, Alpkit, Roam. Key visual asset: original photography from 12 past expeditions available.", "confidence": 0.8 } ], "summary": "All critical truth domains have been addressed with sufficient detail, resulting in no remaining unknowns.", "unknowns": [], "domain_scores": { "brand": 0.8, "trust": 0.7, "visual": 0.8, "business": 0.8, "technical": 0, "compliance": 0, "experience": 0, "operations": 0.8 } } } - 12/06/2026, 10:27:42agent: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\":[{\"domain\":\"business\",\"statement\":\"Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"operations\",\"statement\":\"Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling.\",\"confidence\":0.8,\"evidence_id\":null},{\"domain\":\"trust\",\"statement\":\"Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance.\",\"confidence\":0.7,\"evidence_id\":null}],\"existing_unknowns\":[{\"domain\":\"operations\",\"impact\":\"critical\",\"question\":\"What backend functionalities are required for the website?\",\"expected_confidence_gain\":0.3},{\"domain\":\"trust\",\"impact\":\"high\",\"question\":\"How will the website ensure trust and safety for users booking experiences?\",\"expected_confidence_gain\":0.2},{\"domain\":\"brand\",\"impact\":\"high\",\"question\":\"What branding elements are desired for the website to appeal to the UK audience?\",\"expected_confidence_gain\":0.2},{\"domain\":\"visual\",\"impact\":\"high\",\"question\":\"What visual style or themes are preferred for the website?\",\"expected_confidence_gain\":0.2}],\"new_client_answers\":\"\\n BRAND TRUTH:\\n - Voice: expedition-grade, serious, field-issued — not a package holiday brand\\n - Personality: expert, trustworthy, quietly adventurous — closer to Patagonia than TUI\\n - Positioning: \\\"The only UK operator with permanent local presence in northern Pakistan\\\"\\n - Differentiator: trust, local knowledge, custom curation — not price\\n\\n VISUAL TRUTH:\\n - Aesthetic: cinematic mountain photography, dark editorial palette, high contrast\\n - Feel: immersive, serious, field-issued — think National Geographic not Thomas Cook\\n - Reference brands: Arc'teryx, Alpkit, Roam\\n - Key visual asset: original photography from 12 past expeditions available\\n \",\"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." } - 12/06/2026, 10:27:42agent:discoveryagent.run.start
raw payload
{ "task": "Extract knowns/unknowns for DS-017", "action": "extract_knowns" } - 12/06/2026, 10:27:42agent:validationagent.run.end
raw payload
{ "ok": true, "action": "evaluate_rules" } - 12/06/2026, 10:27:41agent: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": "70%", "expected": "≥ 60%", "rule_key": "trust_truth_min", "severity": "critical", "description": "Trust Truth ≥ 60%" }, { "pass": true, "actual": "50%", "expected": "≥ 50%", "rule_key": "brand_truth_min", "severity": "high", "description": "Brand Truth ≥ 50%" }, { "pass": true, "actual": "50%", "expected": "≥ 50%", "rule_key": "visual_truth_min", "severity": "high", "description": "Visual Truth ≥ 50%" }, { "pass": false, "actual": "1 critical gap(s)", "expected": "0 critical gaps", "rule_key": "no_critical_gaps", "severity": "critical", "description": "No critical truth gaps" }, { "pass": false, "actual": "50%", "expected": "≥ 85%", "rule_key": "formation_confidence", "severity": "critical", "description": "Overall confidence ≥ threshold" } ], "reasons": [ "No critical truth gaps: got 1 critical gap(s), need 0 critical gaps", "Overall confidence ≥ threshold: got 50%, need ≥ 85%" ] } - 12/06/2026, 10:27:41agent:validationagent.run.start
raw payload
{ "task": "Constitution check for DS-017", "action": "evaluate_rules" } - 12/06/2026, 10:27:41agent:discoverydiscovery.scored
raw payload
{ "summary": "The request has been decomposed into knowns and unknowns across critical truth domains. Business and operations domains have actionable details, while trust has sufficient information but still requires clarification on specific aspects. Brand and visual domains remain largely unexplored.", "confidence": 0.4975, "domain_scores": { "brand": 0.5, "trust": 0.7, "visual": 0.5, "business": 0.8, "operations": 0.8 } } - 12/06/2026, 10:27:41agent:discoveryagent.run.end
raw payload
{ "ok": true, "action": "extract_knowns" } - 12/06/2026, 10:27:41agent:discoveryagent.output.logged
raw payload
{ "action": "extract_knowns", "output": { "knowns": [ { "domain": "business", "statement": "Revenue model: guided expedition packages priced £2,000–£5,000 per person. Sales model: browse online → enquiry form → custom itinerary → deposit to confirm. Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers. Primary goal: generate qualified expedition enquiries, convert 15% to bookings.", "confidence": 0.8 }, { "domain": "operations", "statement": "Booking handled by UK-based team (Manchester office). Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan. Operations model: hybrid — online booking engine + local execution. Logistics: visa support, equipment checklist, accommodation booking, permit handling.", "confidence": 0.8 }, { "domain": "trust", "statement": "Safety: ATOL-equivalent travel insurance included in all packages. Experience: lead guides have 10+ years operating in Karakoram range. Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features. Credentials: registered UK limited company, full public liability insurance.", "confidence": 0.7 } ], "summary": "The request has been decomposed into knowns and unknowns across critical truth domains. Business and operations domains have actionable details, while trust has sufficient information but still requires clarification on specific aspects. Brand and visual domains remain largely unexplored.", "unknowns": [ { "domain": "operations", "impact": "critical", "question": "What backend functionalities are required for the website?", "expected_confidence_gain": 0.3 }, { "domain": "trust", "impact": "high", "question": "How will the website ensure trust and safety for users booking experiences?", "expected_confidence_gain": 0.2 }, { "domain": "brand", "impact": "high", "question": "What branding elements are desired for the website to appeal to the UK audience?", "expected_confidence_gain": 0.2 }, { "domain": "visual", "impact": "high", "question": "What visual style or themes are preferred for the website?", "expected_confidence_gain": 0.2 } ], "domain_scores": { "brand": 0.5, "trust": 0.7, "visual": 0.5, "business": 0.8, "operations": 0.8 } } } - 12/06/2026, 10:27:28agent: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\":[{\"domain\":\"business\",\"impact\":\"critical\",\"question\":\"What specific expedition experiences will the website offer?\",\"expected_confidence_gain\":0.3},{\"domain\":\"operations\",\"impact\":\"critical\",\"question\":\"What backend functionalities are required for the website?\",\"expected_confidence_gain\":0.3},{\"domain\":\"trust\",\"impact\":\"high\",\"question\":\"How will the website ensure trust and safety for users booking experiences?\",\"expected_confidence_gain\":0.2},{\"domain\":\"brand\",\"impact\":\"high\",\"question\":\"What branding elements are desired for the website to appeal to the UK audience?\",\"expected_confidence_gain\":0.2},{\"domain\":\"visual\",\"impact\":\"high\",\"question\":\"What visual style or themes are preferred for the website?\",\"expected_confidence_gain\":0.2}],\"new_client_answers\":\"\\n BUSINESS TRUTH:\\n - Revenue model: guided expedition packages priced £2,000–£5,000 per person\\n - Sales model: browse online → enquiry form → custom itinerary → deposit to confirm\\n - Target audience: UK-based adventure travellers aged 28–45, disposable income, experienced hikers\\n - Primary goal: generate qualified expedition enquiries, convert 15% to bookings\\n\\n OPERATIONS TRUTH:\\n - Booking handled by UK-based team (Manchester office)\\n - Local delivery via vetted partner guides in Gilgit-Baltistan, Pakistan\\n - Operations model: hybrid — online booking engine + local execution\\n - Logistics: visa support, equipment checklist, accommodation booking, permit handling\\n\\n TRUST TRUTH:\\n - Safety: ATOL-equivalent travel insurance included in all packages\\n - Experience: lead guides have 10+ years operating in Karakoram range\\n - Social proof: 47 five-star reviews on Trustpilot, 3 BBC Travel features\\n - Credentials: registered UK limited company, full public liability insurance\\n \",\"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." } - 12/06/2026, 10:27:28agent:discoveryagent.run.start
raw payload
{ "task": "Extract knowns/unknowns for DS-017", "action": "extract_knowns" } - 12/06/2026, 10:27:28systemgate.project_formation.denied
raw payload
{ "reason": "session status is 'discovering', must be 'validated'" } - 12/06/2026, 10:27:28agent:discoverydiscovery.scored
raw payload
{ "summary": "The request lacks specific details about the expedition experiences, backend functionalities, trust measures, branding elements, and visual style for the website.", "confidence": 0.29, "domain_scores": { "brand": 0.4, "trust": 0.4, "visual": 0.4, "business": 0.4, "technical": 0, "compliance": 0, "experience": 0, "operations": 0.4 } } - 12/06/2026, 10:27:28agent:discoveryagent.run.end
raw payload
{ "ok": true, "action": "extract_knowns" } - 12/06/2026, 10:27:27agent:discoveryagent.output.logged
raw payload
{ "action": "extract_knowns", "output": { "knowns": [], "summary": "The request lacks specific details about the expedition experiences, backend functionalities, trust measures, branding elements, and visual style for the website.", "unknowns": [ { "domain": "business", "impact": "critical", "question": "What specific expedition experiences will the website offer?", "expected_confidence_gain": 0.3 }, { "domain": "operations", "impact": "critical", "question": "What backend functionalities are required for the website?", "expected_confidence_gain": 0.3 }, { "domain": "trust", "impact": "high", "question": "How will the website ensure trust and safety for users booking experiences?", "expected_confidence_gain": 0.2 }, { "domain": "brand", "impact": "high", "question": "What branding elements are desired for the website to appeal to the UK audience?", "expected_confidence_gain": 0.2 }, { "domain": "visual", "impact": "high", "question": "What visual style or themes are preferred for the website?", "expected_confidence_gain": 0.2 } ], "domain_scores": { "brand": 0.4, "trust": 0.4, "visual": 0.4, "business": 0.4, "technical": 0, "compliance": 0, "experience": 0, "operations": 0.4 } } } - 12/06/2026, 10:27:19agent: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." } - 12/06/2026, 10:27:19agent:discoveryagent.run.start
raw payload
{ "task": "Extract knowns/unknowns for DS-017", "action": "extract_knowns" } - 12/06/2026, 10:27:19systemdiscovery.session.created
raw payload
{ "code": "DS-017", "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." }