deep-research

---
name: deep-research
description: "Multi-source deep research with evidence grading and contradiction detection. Use for any question requiring thorough investigation, competitive analysis, technology evaluation, or fact-finding across multiple sources. Triggers on: 'research this', 'deep dive into', 'investigate', 'what does the evidence say', 'compare options', 'find out about', 'analyze the landscape'."
---

# Deep Research

## Thinking Protocol

Before starting, answer silently:
1. What is the **actual question**? (Restate precisely — don't drift)
2. What would constitute a **strong vs weak** answer?
3. What are my **known unknowns**?

## Execution

### Phase 1: Decompose
Break into 3-7 precise sub-questions. For each, state what evidence type would answer it.

### Phase 2: Multi-Source Search
Per sub-question, search minimum 3 independent sources. Prefer:
- Primary over secondary sources
- Recent over dated (flag anything >2 years old)
- Peer-reviewed/official over blog posts
- Contradicting sources are MORE valuable — seek them out

### Phase 3: Evidence Grading
Every claim gets a confidence tier:
- **HIGH** — Multiple independent sources agree, empirical evidence
- **MEDIUM** — Single credible source, or sources with caveats
- **LOW** — Anecdotal, single blog post, or inference
- **CONTESTED** — Sources directly contradict (present both sides)

### Phase 4: Synthesize

```
## [Topic]: Key Findings

### [Sub-question 1]
[Finding] — Confidence: [tier]
Evidence: [citations]

### Contradictions & Open Questions
[Where sources disagree, what remains unknown]

### Implications
[What this means for the user's actual goal]
```

## Rules
🚨 Never present inference as fact. If reasoning beyond evidence, say so.
🚨 If confirming expectations, stop and search for disconfirming evidence.
🚨 State what you DON'T know with the same confidence you state what you do.