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---

name: deep-investigative-research

description: Comprehensive investigation of complex multi-domain narratives (technology, theology, policy, finance). Systematically decouples factual claims from speculation through iterative verification, multi-source comparison, and contradiction resolution. Use for investigations requiring institutional knowledge, historical context, and handling of conflicting incentives.

---

# Deep Investigative Research

Investigates complex narratives spanning multiple domains by systematically verifying claims, resolving contradictions, and mapping institutional lineages.

## When to Use

- Complex narratives spanning multiple domains (tech, theology, policy, finance)

- Claims involving institutional actors and public figures

- Apparent contradictions requiring resolution

- Historical context needed to assess significance

- Hidden stakeholder incentives driving observable behavior

- Need to separate verified fact from speculation

## When NOT to Use

- Simple factual lookups

- No primary sources available

- Purely technical/domain-specific questions

- Time constraints prohibit iterative deepening

---

## 11 Core Subprocesses

### 1. Claim Inventory & Categorization

Parse the narrative into atomic, verifiable claims and assign categories:

- **Institutional claims** -- Official releases, filings, legal records

- **Attribution claims** -- Quotes, statements by named figures

- **Relational claims** -- Partnerships, allegations of influence

- **Speculative framings** -- Interpretations, comparative metaphors

**Output**: Prioritized verification checklist.

```

Example:

- "May 15, 2026 marks 135 years since Rerum Novarum" -> Historical fact, calculable

- "Chris Olah spoke at Vatican event" -> Requires event documentation

- "Anthropic-xAI partnership" -> Requires corporate filing verification

```

### 2. Source Authority Hierarchy

Evaluate evidence weight using a three-tier system:

| Tier | Sources | Sufficiency |

|------|---------|-------------|

| **1 -- Primary/Institutional** | Official press releases, encyclical texts, SEC filings, government records, direct video/audio | Standalone sufficient for factual claims |

| **2 -- Credible Secondary** | Established news (NPR, FT, Guardian, NYT), industry analysis, academic journals, trade publications | Require corroboration across independent outlets |

| **3 -- Tertiary/Aggregation** | Blog posts, Reddit, reposted content, think tank summaries, commentary | Only for identifying leads; must be verified by Tier 1/2 |

### 3. Historical Context Alignment

Check if new claims fit within documented institutional patterns:

- **Doctrinal continuity** -- Does new teaching align with previous doctrine? (e.g., Magnifica Humanitas vs. Rerum Novarum)

- **Precedent matching** -- Have similar positions been taken before? (e.g., Vatican's prior AI ethics statements)

- **Timeline plausibility** -- Do dates/sequencing make institutional sense? (e.g., 135-year anniversary alignment)

**Resolution metric**: Degree of alignment between claimed position and institutional history.

### 4. Multi-Stakeholder Contradiction Analysis

Identify and reconcile apparent paradoxes:

**Type A -- Moral/Financial Paradox**:

- Claimed position vs. observed financial incentives

- Resolution: Document both as simultaneously true; analyze incentive structures

**Type B -- Infrastructure/Sovereignty Paradox**:

- Claimed regulatory position vs. observed infrastructure choices

- Resolution: Identify structural contradictions

**Type C -- Attribution/Knowledge Paradox**:

- Claimed statements vs. available documentation

- Resolution: Search for primary transcripts and corroborating reports

### 5. Infrastructure Partnership Verification

Audit corporate/technical relationships across dimensions:

| Dimension | Method |

|-----------|--------|

| Partnership existence | SEC filings, press releases, company blogs |

| Technical specifics | Compute capacity specs, infrastructure details |

| Financial scale | Deal announcements, investor presentations |

| Geopolitical implications | Government/defense integration tracking |

| Contradiction with stated values | Cross-reference with ethical statements |

### 6. Iterative Deepening Protocol

Five research cycles building from surface to systemic:

| Cycle | Question | Focus |

|-------|----------|-------|

| **1** | Does it exist? | Document/event existence, person/institution reality, date accuracy |

| **2** | What exactly was claimed? | Exact wording, attendees, positions, primary source substantiation |

| **3** | What contradictions exist? | Tensions between claims and actions, incentive structures |

| **4** | How does this fit history? | Institutional lineage, precedents, novelty assessment |

| **5** | What's the systemic impact? | Geopolitical/financial consequences, ecosystem response, second-order effects |

### 7. Doctrinal/Theological Lineage Mapping

Trace principles across centuries:

```

Rerum Novarum (1891) -> Magnifica Humanitas (2026)

- Factory workers -> Content moderators, data miners

- Steam engines -> Neural networks

- Wage exploitation -> Data extraction, algorithmic control

- Duty to protect labor -> Duty to protect human dignity in AI age

- Worker dignity -> Protection against reduction to data points

```

**Method**: Identify core principle -> trace through intervening decades -> map to new domain -> document vocabulary evolution.

### 8. Attribution Verification

Confirm direct quotes and public statements:

1. Identify source claim: "X said Y"

2. Search for primary documentation (official statements, transcripts, interviews, video)

3. Examine context: public vs. private, formal vs. spontaneous, direct quote vs. paraphrase

4. Check for amplification: official confirmations, independent corroboration, corrections

### 9. Hidden Human Cost Documentation

Verify claims about invisible labor supply chains:

- **Content moderation** -- Geographic distribution, compensation, psychological impact

- **Rare earth extraction** -- Mining locations, labor allegations, environmental impact

- **Data annotation** -- Global workforce distribution, working conditions, compensation

**Sources**: Labor rights organizations, academic studies, investigative journalism, NGO documentation.

### 10. Geopolitical Friction Point Identification

Map where moral teachings collide with strategic interests:

- **Military/Defense** -- Encyclical positions vs. defense procurement and contracts

- **Financial/Market** -- External guidance claims vs. IPO momentum and valuations

- **Sovereignty/Regulation** -- State-level regulation claims vs. orbital platforms escaping jurisdiction

### 11. Metaphorical/Theological Framework Analysis

Extract moral logic underlying policy positions:

```

Babel Model Jerusalem Model

| |

Centralized efficiency Localized collaboration

Data homogenization Human-centered diversity

Optimization as goal Dignity as goal

Humans as productivity units Humans as irreplaceable persons

| |

Technological dominance Technological humility

```

---

## Quality Assurance

### Cross-verification

- No single claim accepted without corroboration

- Minimum 2 independent sources for factual assertions

- Institutional claims verified against official releases

### Contradiction Documentation

- All tensions explicitly listed, not glossed

- Both sides presented fairly

- Incentive structures analyzed to explain gaps

### Temporal Grounding

- All dates verified against historical records

- Timeline consistency checked

- Anniversary alignments flagged as intentional/coincidental

### Source Dependency Mapping

- For major conclusions, identify enabling sources

- Note if conclusion relies on single source

- Flag areas of genuine ambiguity

---

## Output Structure

Each investigation produces:

### 1. Factual Verification Summary

- What is confirmed in primary sources

- What is speculative

- What remains unverified

### 2. Contradiction Map

- Identified tensions with resolution approach

- Acknowledged paradoxes

- Unresolved gaps

### 3. Historical Context

- Institutional lineage

- Precedents

- Novel elements

### 4. Stakeholder Position Matrix

- What each actor claims

- What incentives they face

- What actions they're taking

- Gaps between claims and actions

### 5. Geopolitical Impact Assessment

- Where moral teaching meets strategic interests

- Likely flashpoints

- Unacknowledged consequences