deep-research

Deep Research — GOD MODE

Trigger

/deep-research <query> or when user says "research this deeply", "go deep on", "full research report on", "investigate this thoroughly".

Core Philosophy

Raw search results are noise. Verified synthesis is signal. Every claim needs a source. Every conflict needs a resolution. A great deep research report is a structured intelligence brief, not a search summary.

Architecture

Query
  └── Phase 1: Decompose → Sub-questions
        └── Phase 2: Parallel Search → Raw Sources
              └── Phase 3: Crawl & Extract → Claims
                    └── Phase 4: Cross-Reference → Verify / Conflict
                          └── Phase 5: Synthesize → Report
                                └── Phase 6: Quality Gates → Deliver

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Phase 1 — Query Decomposition

Break the user's query into 3–7 atomic sub-questions. Each must be:

• Independently searchable
• Non-overlapping with others
• Ordered from foundational to advanced

Example:

Query: "Is Company X profitable?"

Sub-questions:

1. What is Company X's current revenue model?
2. What are its reported ARR and revenue figures?
3. What is its burn rate and cost structure?
4. What do investors say about its path to profitability?
5. How does it compare to competitors on unit economics?

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Phase 2 — Multi-Source Search Strategy

For each sub-question, issue 2–4 targeted searches using varied query angles:

[primary term] [year]
[primary term] site:official OR filetype:pdf
[primary term] analysis OR breakdown OR report
[primary term] vs [competitor]

Source Priority Tiers:

Tier	Type	Trust Weight
1	Official docs, SEC filings, company blogs, government data, peer-reviewed papers	1.0
2	Major news outlets (Reuters, Bloomberg, FT), industry analysts (Gartner, CB Insights)	0.85
3	Tech blogs, newsletters, podcasts	0.65
4	Forums, Reddit, social media	0.40

Minimum sources per report: 8 unique domains Target for complex topics: 15–25 sources