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169 lines
4.7 KiB
Markdown
169 lines
4.7 KiB
Markdown
# AMOS — CONTINUOUS INTELLIGENCE INGESTION & CONTRADICTION ENGINE
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Author: Erik Svensson
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Date: 2026-06-18
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> The objective is not to tell customers what happened.
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> The objective is to help customers make better decisions than they could make without AMOS.
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---
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## Core Principle
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Every conclusion must be supported by evidence.
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Every assumption must be challengeable.
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Every narrative must be testable.
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Every prediction must be traceable.
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The system must actively search for contradictions, inconsistencies and emerging signals.
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---
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## Continuous Ingestion Sources
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### Government & Official
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- National statistics offices (SCB, Destatis, INSEE, ONS, Census Bureau...)
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- Municipal open-data portals
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- Transport & infrastructure authorities
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- Utility providers
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- Planning departments & land registries
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- Property transaction databases
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- Environmental agencies
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### Economic & Commercial
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- Trade and commerce databases
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- Economic development agencies
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- Public procurement systems
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- Tourism agencies
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### Geographic & Physical
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- Open geographic datasets (OSM, Copernicus...)
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- Satellite-derived datasets
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- Official land-use & zoning datasets
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- Official mobility & public safety datasets
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### Research
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- Academic publications
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- Industry associations
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- International organizations (UN, World Bank, EU...)
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---
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## Knowledge Normalization
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Per source extract:
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- Entities, locations, events
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- Trends, forecasts, risks
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- Assumptions
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Convert to normalized knowledge graph with:
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- Temporal history
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- Source attribution
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- Confidence scores
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---
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## Contradiction Detection
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Compare official claims vs observed reality:
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| Official claim | Observable counter-signal |
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| Reported growth | Observed commercial decline |
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| Planned investment | Missing construction activity |
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| Infrastructure quality rating | Field observations showing deterioration |
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| Population growth | Commercial contraction |
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| Development plan | Lack of implementation |
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Flag all contradictions. Rank by: severity / economic impact / confidence.
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---
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## Hypothesis Engine
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For every significant trend:
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- Generate competing explanations
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- Generate alternative interpretations
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- Maintain supporting + contradicting evidence
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- Never assume a single explanation is correct
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- Maintain multiple working hypotheses simultaneously
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---
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## Red Team Analysis
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Every major conclusion is challenged before delivery.
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Per recommendation:
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- Arguments supporting it
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- Arguments opposing it
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- Missing data requirements
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- Uncertainty assessment
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- Confidence level (0–100%)
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---
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## Decision Intelligence Output
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Per city / region / district / asset class:
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| Horizon | Questions answered |
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| Now | What is changing? Improving? Deteriorating? |
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| 6 months | What risks are increasing? What opportunities emerging? |
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| 12 months | What assumptions appear incorrect? |
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| 3 years | Likely structural shifts |
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| 5 years | Scenario forecasts |
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---
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## Product Feedback Loop
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Continuously identify:
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- Information customers seek but cannot find
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- Missing observations → recommend new quiXzoom missions
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- Insufficient confidence → recommend new observation campaigns
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- Recurring customer demand → recommend new intelligence products
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---
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## Output Formats
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- Contradiction reports
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- Opportunity reports
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- Risk reports
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- City intelligence reports
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- Infrastructure intelligence reports
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- Commercial intelligence reports
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- Forecast reports
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- Executive summaries
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All outputs cite sources, explain reasoning, quantify uncertainty, highlight contradictions and alternative explanations.
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---
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## Audit Findings: Top 20 Fixes (2026-06-18)
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| # | Action | Priority |
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|---|---|---|
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| 1 | Remove "10,000+ field agents" — unprovable pre-launch | 🔴 |
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| 2 | Fix Swedish h2 tags on English quiXzoom.com | 🔴 |
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| 3 | Replace "150–500 kr" with Credits in hero stats | 🔴 |
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| 4 | Write methodology white paper (2 pages) | 🔴 |
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| 5 | Add /methodology/ page on Landvex | 🔴 |
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| 6 | Security page on Landvex | 🟠 |
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| 7 | "Illustrative scores" → "Sample output — live from August 2026" | 🟠 |
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| 8 | Downgrade Community section on quiXzoom.com | 🟠 |
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| 9 | Build Contradiction Engine PoC — one city, one data source | 🟠 |
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| 10 | Pilot case study (anonymised) | 🟠 |
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| 11 | Pricing/engagement page on Landvex | 🟠 |
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| 12 | Stockholm intelligence report (free lead gen) | 🟠 |
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| 13 | Separate quiXzoom consumer/enterprise nav | 🟡 |
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| 14 | Move Recognition section to /earn/ | 🟡 |
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| 15 | City pages on Landvex (Stockholm, Berlin, Milan) | 🟡 |
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| 16 | Verify contact@landvex.com works | 🟡 |
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| 17 | Remove AMOS from all external communication | 🟡 |
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| 18 | Move "Powered by quiXzoom" from hero eyebrow to footer | 🟡 |
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| 19 | Add fifth step "Verified & delivered" to backwards logic | 🟡 |
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| 20 | Separate quiXzoom B2B page from consumer | 🟡 |
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