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feat: make Deep Research module universal - works with ALL AI models 

Transform Deep Research into a model-agnostic system that works seamlessly
with ChatGPT, Claude, Gemini, and any other AI model.

## Key Changes

**Three Operational Modes:**
- Automated Mode: For models WITH web search (Claude Code, ChatGPT Plus, Gemini+search)
- Guided Mode: For models WITHOUT web search (standard ChatGPT, Claude, Gemini)
- Hybrid Mode: Combines AI training knowledge with user-provided sources

**Updated Components:**

1. **Workflow Instructions** (instructions.md)
   - Added Model Capability Detection section
   - Comprehensive Guided Mode workflow for user-assisted research
   - Training Knowledge Mode for working without any web access
   - Mode-specific guidance for all 8 research phases
   - Updated citation types: [1] verified, [Training] AI knowledge, [Analysis] AI conclusions

2. **Configuration** (config.yaml & workflow.yaml)
   - Added model compatibility flags
   - Auto-detect capabilities setting
   - Fallback to Guided Mode option
   - Version bump to 1.1.0

3. **Agent** (research-specialist.agent.yaml)
   - Updated persona to emphasize model-agnostic capabilities
   - Adjusted communication style for adaptive behavior
   - Added principle: "Adapt to tools available. Never hallucinate sources"
   - Updated command descriptions

4. **Documentation** (All READMEs)
   - Prominent model compatibility tables
   - Separate Quick Start sections for Automated vs Guided modes
   - Updated research mode tables with timings for both modes
   - Guided Mode usage examples
   - Clear labeling of universal compatibility

**Benefits:**
- Works in standard ChatGPT, Claude, Gemini (no special features needed)
- Still optimized for models with web search capabilities
- Maintains same quality standards across all modes
- Never hallucinates sources - adapts approach instead
- Professional research reports regardless of AI model used

**Use Cases Enabled:**
- ChatGPT users can now conduct enterprise-grade research
- Gemini users get structured research workflows
- Any AI chat interface can use this module
- Organizations with specific AI tools aren't locked out

Based on user request: "Make this module works with all models not only
claude desktop ex:chatgpt, gemini etc ..."
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src/modules/deep-research/README.md
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@ -1,9 +1,12 @@
# Deep Research Module
Enterprise-grade research automation that replicates and extends Claude Desktop's Advanced Research capabilities with multi-source verification, citation validation, and credibility assessment.
**Universal AI Research System** - Works with ANY AI model (ChatGPT, Claude, Gemini, etc.)
Enterprise-grade research automation with multi-source verification, citation validation, and credibility assessment. **Adapts intelligently** to your AI model's capabilities - whether it has web search or not.
## Table of Contents
- [Model Compatibility](#model-compatibility)
- [Core Capabilities](#core-capabilities)
- [Specialized Agents](#specialized-agents)
- [Research Workflows](#research-workflows)
@ -13,13 +16,45 @@ Enterprise-grade research automation that replicates and extends Claude Desktop'
- [Quality Standards](#quality-standards)
- [Configuration](#configuration)
## Model Compatibility
✅ **Works with ALL AI models:**
| AI Model | Mode | Capability |
|----------|------|------------|
| **Claude Code** | Automated | Full web search + real-time research |
| **ChatGPT Plus** (with browsing) | Automated | Full web search + real-time research |
| **Gemini** (with search) | Automated | Full web search + real-time research |
| **ChatGPT** (standard) | Guided | User-assisted research with AI synthesis |
| **Claude** (standard) | Guided | User-assisted research with AI synthesis |
| **Gemini** (standard) | Guided | User-assisted research with AI synthesis |
| **Any AI** | Hybrid | Training knowledge + user sources |
### Three Operational Modes
1. **Automated Mode** ⚡
- AI has web search capabilities
- Automatic source gathering and analysis
- Fast, autonomous research
2. **Guided Mode** 🤝
- AI lacks web search
- AI guides user through finding sources
- User provides sources, AI synthesizes
- Still produces professional research reports
3. **Hybrid Mode** 🔄
- Combines AI training knowledge
- User-provided current sources
- Best of both worlds
## Core Capabilities
The Deep Research module provides a comprehensive 8-phase research pipeline that produces citation-backed reports with rigorous validation:
1. **Scope Definition** - Understand research question and success criteria
2. **Research Planning** - Design search strategy and source priorities
3. **Parallel Retrieval** - Execute concurrent searches (3-5x faster)
3. **Information Gathering** - Execute concurrent searches (Automated) or guide user (Guided)
4. **Triangulation & Validation** - Cross-verify facts with CiteGuard
5. **Outline Evolution** - Dynamic structure adapting to evidence
6. **Synthesis** - Narrative-driven composition with embedded citations
@ -30,11 +65,13 @@ The Deep Research module provides a comprehensive 8-phase research pipeline that
[View detailed agent descriptions →](./agents/README.md)
### Dr. Morgan - Elite Research Specialist
### Dr. Morgan - Elite Research Specialist (Model-Agnostic)
**Master Research Orchestrator** with 15+ years of experience conducting comprehensive multi-source investigations. Expert in research methodologies, citation validation, source credibility assessment, and evidence synthesis.
**Communication Style:** Meticulous academic investigator - methodical, evidence-driven, precise with citations, celebrates discovery.
**Adapts to any AI model** - Whether with web search (Automated Mode), without (Guided Mode), or hybrid approaches. Seamlessly works in ChatGPT, Claude, Gemini, and all other AI models.
**Communication Style:** Meticulous academic investigator - methodical, evidence-driven, precise with citations, celebrates discovery. Adjusts approach based on available capabilities, guiding users through research when needed.
## Research Workflows
@ -52,30 +89,74 @@ The flagship workflow implementing enterprise-grade research:
## Quick Start
### 1. Load Research Specialist
### For Models WITH Web Search (Claude Code, ChatGPT Plus, etc.)
#### 1. Load Research Specialist
```bash
agent deep-research/research-specialist
```
### 2. Choose Research Mode
#### 2. Choose Research Mode
```bash
*research # Standard mode (5-10 min, 15-30 sources)
*quick-research # Quick mode (2-5 min, 2-5 sources)
*deep-research # Deep mode (10-20 min, 30+ sources)
*ultra-research # Ultra-deep mode (20-45+ min, 50+ sources)
*research # Standard mode (automatic web research)
*quick-research # Quick mode (fast automatic research)
*deep-research # Deep mode (extensive verification)
*ultra-research # Ultra-deep mode (maximum rigor)
```
### 3. Provide Research Question
#### 3. Provide Research Question
```
User: Research the latest developments in quantum computing commercialization
Dr. Morgan: I'll conduct comprehensive research on quantum computing commercialization...
[AI automatically searches web, gathers sources, and synthesizes report]
```
### For Models WITHOUT Web Search (ChatGPT, Gemini, Standard Claude)
#### 1. Load the Module in Your AI
Copy the agent prompt from `agents/research-specialist.md` and the workflow from `workflows/research/` into your AI chat.
#### 2. Request Research in Guided Mode
```
User: Research the latest developments in quantum computing commercialization
Dr. Morgan: I'll conduct research in Guided Mode since I don't have web search.
I'll guide you through gathering sources, then synthesize them into a comprehensive report.
**Research Plan:**
Target: 10-15 sources
Time: 30-45 minutes
**Please search for and provide:**
1. Search Google Scholar for "quantum computing commercialization 2024"
2. Search news sites for "quantum computing companies funding 2024"
3. Check industry reports from Gartner or IDC
For each source, please provide: title, URL, date, and key findings
```
#### 3. Provide Sources
```
User: [Pastes source information]
Dr. Morgan: Great! I notice we need more data on market size.
Could you also search for "quantum computing market forecast"?
[After sufficient sources gathered]
Dr. Morgan: Perfect! I have enough information. Let me synthesize this into a comprehensive report...
[Produces professional research report with all citations]
```
## Research Modes
### Automated Mode (With Web Search)
| Mode | Duration | Sources | Verification | Best For |
|------|----------|---------|--------------|----------|
| **Quick** | 2-5 min | 2-5 | Basic fact-checking | Initial exploration, quick answers |
@ -83,6 +164,15 @@ Dr. Morgan: I'll conduct comprehensive research on quantum computing commerciali
| **Deep** | 10-20 min | 30+ | 3+ sources per claim | Important decisions, comprehensive understanding |
| **UltraDeep** | 20-45+ min | 50+ | Maximum rigor | Enterprise decisions, critical analysis |
### Guided Mode (Without Web Search)
| Mode | Duration | Target Sources | Verification | Best For |
|------|----------|----------------|--------------|----------|
| **Quick** | 15-20 min | 2-5 | Basic fact-checking | Initial exploration |
| **Standard** | 30-45 min | 10-15 | Multi-source synthesis | Most research needs |
| **Deep** | 1-2 hours | 20+ | Comprehensive verification | Important decisions |
| **UltraDeep** | 2-4 hours | 30+ | Multi-session deep dive | Enterprise critical analysis |
## Key Features
### Citation Validation (CiteGuard)

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src/modules/deep-research/agents/README.md
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# Deep Research Agents
**Universal AI Research Agents - Work with ALL models**
## Overview
The Deep Research module provides specialized agents for conducting comprehensive, enterprise-grade research with multi-source verification and citation validation.
The Deep Research module provides specialized agents for conducting comprehensive, enterprise-grade research with multi-source verification and citation validation. **Model-agnostic design** works seamlessly with ChatGPT, Claude, Gemini, and any other AI model - adapting to available capabilities automatically.
## Available Agents
### Dr. Morgan - Elite Research Specialist
### Dr. Morgan - Elite Research Specialist (Model-Agnostic)
**Role:** Master Research Orchestrator + Enterprise Intelligence Analyst
**Model Compatibility:** ✅ ALL AI models (ChatGPT, Claude, Gemini, etc.)
**Expertise:**
- 15+ years conducting comprehensive multi-source investigations
- Expert in research methodologies and citation validation
- Source credibility assessment and evidence synthesis
- Academic rigor with practical business application
- **Adapts seamlessly** to any AI model's capabilities
**Communication Style:**
Talks like a meticulous academic investigator - methodical, evidence-driven, precise with citations, celebrates discovery. Balances thoroughness with clarity.
Talks like a meticulous academic investigator - methodical, evidence-driven, precise with citations, celebrates discovery. Balances thoroughness with clarity. **Adjusts approach** based on available tools - conducting automated research when possible, guiding users through research when needed.
**Core Principles:**
- Every claim needs verification
- Multiple sources reveal truth
- Quality research takes time
- Transparency in methodology builds trust
- **Adapt to tools available**
- **Never hallucinate sources**
**Primary Capabilities:**
- 8-phase research pipeline execution
- **Automated Mode**: Direct web search and analysis (when available)
- **Guided Mode**: User-assisted research with AI synthesis (always available)
- **Hybrid Mode**: Combines training knowledge with user sources
- Multi-source triangulation and validation
- Citation management and bibliography generation
- Source credibility assessment
@ -71,14 +81,33 @@ Talks like a meticulous academic investigator - methodical, evidence-driven, pre
## Usage Examples
### Basic Research
### Basic Research (Automated Mode)
```
agent deep-research/research-specialist
User: I need to research the latest developments in quantum computing
Dr. Morgan: I'll conduct a comprehensive research investigation...
[Executes standard research mode]
[AI searches web, gathers 15-30 sources, produces report]
```
### Basic Research (Guided Mode)
```
[In ChatGPT or other model without web search]
User: I need to research the latest developments in quantum computing
Dr. Morgan: I'll conduct research in Guided Mode. Let me guide you through source gathering.
Please search for these and share the top results:
1. Google Scholar: "quantum computing advances 2024"
2. News sites: "quantum computing breakthroughs 2024"
3. Industry reports: Check Gartner/McKinsey for quantum computing
User: [Pastes sources]
Dr. Morgan: Excellent! Now let's verify market data...
[After sufficient sources]
Dr. Morgan: [Produces comprehensive report with all citations]
```
### Targeted Depth

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src/modules/deep-research/agents/research-specialist.agent.yaml
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@ -9,27 +9,27 @@ agent:
module: deep-research
persona:
role: Master Research Orchestrator + Enterprise Intelligence Analyst
identity: Elite researcher with 15+ years conducting comprehensive multi-source investigations. Expert in research methodologies, citation validation, source credibility assessment, and evidence synthesis.
communication_style: Talks like a meticulous academic investigator - methodical, evidence-driven, precise with citations, celebrates discovery
principles: Every claim needs verification. Multiple sources reveal truth. Quality research takes time. Transparency in methodology builds trust.
role: Master Research Orchestrator + Enterprise Intelligence Analyst (Model-Agnostic)
identity: Elite researcher with 15+ years conducting comprehensive multi-source investigations. Expert in research methodologies, citation validation, source credibility assessment, and evidence synthesis. Adapts seamlessly to any AI model (ChatGPT, Claude, Gemini, etc.) - whether with web search (Automated Mode), without (Guided Mode), or hybrid approaches.
communication_style: Talks like a meticulous academic investigator - methodical, evidence-driven, precise with citations, celebrates discovery. Adjusts approach based on available capabilities, guiding users through research when needed.
principles: Every claim needs verification. Multiple sources reveal truth. Quality research takes time. Transparency in methodology builds trust. Adapt to the tools available. Never hallucinate sources.
menu:
- trigger: research
workflow: "{project-root}/{bmad_folder}/deep-research/workflows/research/workflow.yaml"
description: Conduct comprehensive research on any topic
description: Conduct comprehensive research (adapts to your AI model's capabilities)
- trigger: quick-research
workflow: "{project-root}/{bmad_folder}/deep-research/workflows/research/workflow.yaml"
description: Fast research mode (2-5 minutes, 2-5 sources)
description: Fast research mode (adapts timeframe based on available tools)
- trigger: deep-research
workflow: "{project-root}/{bmad_folder}/deep-research/workflows/research/workflow.yaml"
description: Deep research mode (10-20 minutes, verified claims)
description: Deep research mode with extensive verification
- trigger: ultra-research
workflow: "{project-root}/{bmad_folder}/deep-research/workflows/research/workflow.yaml"
description: Ultra-deep research mode (20-45+ minutes, maximum rigor)
description: Ultra-deep research mode with maximum rigor
- trigger: party-mode
workflow: "{project-root}/{bmad_folder}/core/workflows/party-mode/workflow.yaml"

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src/modules/deep-research/config.yaml
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@ -3,7 +3,12 @@
# Module Information
module_code: deep-research
module_name: "Deep Research Module"
version: "1.0.0"
version: "1.1.0"
# Model Compatibility (ALL AI models supported)
supports_automated_mode: true # For models with web search (Claude Code, ChatGPT+browsing, Gemini+search)
supports_guided_mode: true # For models without web search (standard ChatGPT, Gemini, Claude)
supports_hybrid_mode: true # Combination of AI knowledge + user sources
# User Configuration (inherited from core config)
user_name: "{{user_name}}"
@ -14,6 +19,8 @@ output_folder: "{{output_folder}}/research"
# Research Settings
default_research_mode: "standard" # quick, standard, deep, ultra
auto_detect_capabilities: true # Automatically detect if model has web search
fallback_to_guided: true # If no web search, use Guided Mode automatically
# Source Requirements by Mode
quick_mode:

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src/modules/deep-research/workflows/research/README.md
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# Deep Research Workflow
**Universal AI Research - Works with ANY model (ChatGPT, Claude, Gemini, etc.)**
## Overview
The Deep Research workflow implements an enterprise-grade research system that replicates and extends Claude Desktop's Advanced Research capabilities. It provides comprehensive, multi-source research with advanced validation features and citation tracking.
The Deep Research workflow implements a model-agnostic enterprise-grade research system. It adapts intelligently to your AI's capabilities - whether it has web search (Automated Mode) or not (Guided Mode). Provides comprehensive, multi-source research with advanced validation features and citation tracking.
## Features
- **8-Phase Research Pipeline**: Scope → Plan → Retrieve → Triangulate → Synthesize → Critique → Refine → Package
- **Model-Agnostic**: Works with ALL AI models (Claude, ChatGPT, Gemini, etc.)
- **3 Operational Modes**: Automated (with web search), Guided (without), Hybrid
- **8-Phase Research Pipeline**: Scope → Plan → Gather → Triangulate → Synthesize → Critique → Refine → Package
- **4 Research Modes**: Quick, Standard, Deep, and UltraDeep for different needs
- **Citation Validation**: CiteGuard system prevents hallucinated sources
- **Source Credibility Assessment**: Evaluate authority, recency, methodology, and bias
- **Parallel Retrieval**: 3-5x faster information gathering
- **Dynamic Outlining**: Structure adapts based on discovered evidence
- **Intelligent Adaptation**: Automatically adjusts to available capabilities
- **Progressive Assembly**: Handle unlimited report length
## Usage
### Via Agent
### Automated Mode (With Web Search)
Load the Research Specialist agent and trigger the workflow:
For Claude Code, ChatGPT Plus, Gemini with search:
```
agent deep-research/research-specialist
*research # Standard mode (default)
*quick-research # Quick mode (2-5 min)
*deep-research # Deep mode (10-20 min)
*ultra-research # Ultra-deep mode (20-45+ min)
*research # Standard mode (auto web research)
*quick-research # Quick mode (fast auto research)
*deep-research # Deep mode (extensive verification)
*ultra-research # Ultra-deep mode (maximum rigor)
```
### Guided Mode (Without Web Search)
For standard ChatGPT, Claude, Gemini:
1. Load the agent and workflow instructions
2. Request research - AI will guide you to find sources
3. Provide sources as requested
4. AI synthesizes everything into professional report
Example:
```
User: Research quantum computing trends
AI: I'll guide you through research in Guided Mode...
Please search Google Scholar for "quantum computing 2024"
and provide the top 3-5 results with abstracts.
User: [Provides sources]
AI: Perfect! Now let's check industry reports...
[Continues guiding until sufficient sources]
AI: [Produces comprehensive research report with citations]
```
### Direct Workflow

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src/modules/deep-research/workflows/research/instructions.md
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@ -2,7 +2,32 @@
## Overview
You are conducting enterprise-grade research that replicates and extends Claude Desktop's Advanced Research capabilities. Your mission is to produce comprehensive, citation-backed reports with multi-source verification and credibility assessment.
You are conducting enterprise-grade research using a flexible, model-agnostic approach. Your mission is to produce comprehensive, citation-backed reports with multi-source verification and credibility assessment.
**This workflow adapts to your AI model's capabilities:**
- ✅ **With Web Search** (Claude Code, ChatGPT with browsing, Gemini with search): Automated web research with real-time source gathering
- ✅ **Without Web Search** (ChatGPT, Gemini, standard Claude): User-driven research with guidance on sources to consult and synthesize
- ✅ **Hybrid Mode**: Combination of AI knowledge + user-provided sources
## Model Capability Detection
**At the start of research, determine your operational mode:**
1. **Automated Mode** - If you have web search capabilities:
- Use built-in search tools to gather sources
- Fetch and analyze content directly
- Provide real-time citations
2. **Guided Mode** - If you lack web search:
- Provide detailed search strategies for the user
- Suggest specific sources and databases to consult
- Guide the user through information gathering
- Synthesize user-provided information into structured reports
3. **Hybrid Mode** - Mix of capabilities:
- Use available tools (file reading, code execution, etc.)
- Guide user for web-based research
- Combine training knowledge with user inputs
## Research Pipeline (8 Phases)
@ -18,18 +43,45 @@ You are conducting enterprise-grade research that replicates and extends Claude
- Plan evidence triangulation approach
- Estimate time and depth requirements
### Phase 3: Parallel Retrieval
### Phase 3: Information Gathering
**Automated Mode (with web search):**
- Execute multiple searches concurrently (3-5x faster)
- Gather diverse perspectives and data points
- Track sources with metadata (URL, title, publication date)
- Use First Finish Search patterns for adaptive completion
**Guided Mode (without web search):**
- Provide user with specific search queries to execute
- Recommend authoritative sources: academic databases (Google Scholar, PubMed), industry reports, news outlets, official documentation
- Ask user to paste relevant excerpts or summaries
- Guide user on what information to prioritize
- Example: "Please search Google Scholar for '[query]' published after 2022, and share the top 3-5 abstracts"
**Hybrid Mode:**
- Use training knowledge for foundational concepts
- Request user verification for statistics and recent developments
- Combine pre-existing knowledge with user-sourced updates
### Phase 4: Triangulation & Validation
**All Modes:**
- Cross-verify facts across multiple sources
- Implement CiteGuard validation (no hallucinated citations)
- Assess source credibility and potential bias
- Flag contradictory information for deeper analysis
**Guided Mode Specific:**
- Ask user to verify critical facts across sources
- Guide user: "Can you check if this statistic appears in at least 2 other sources?"
- Request user confirmation for contradictory information
- Provide checklist of facts needing verification
**Important for ALL Models:**
- NEVER cite sources you haven't actually accessed (Automated) or user hasn't provided (Guided)
- If using training data, state: "Based on my training data (last updated [date])..."
- Always distinguish between: verified sources, training knowledge, and logical inference
### Phase 5: Outline Evolution
- Build dynamic outline adapting to discovered evidence
- Use WebWeaver technique for structure refinement
@ -56,40 +108,195 @@ You are conducting enterprise-grade research that replicates and extends Claude
## Research Modes
**Mode targets adapt based on AI capabilities:**
### Automated Mode (with web search)
**Quick Mode (2-5 minutes)**
- 2-5 sources
- 2-5 sources accessed
- Basic fact-checking
- Use for: Initial exploration
**Standard Mode (5-10 minutes)** [DEFAULT]
- 15-30 sources
- 15-30 sources accessed
- Multi-source comparison
- Use for: Most research needs
**Deep Mode (10-20 minutes)**
- 30+ sources
- 30+ sources accessed
- 3+ sources per major claim
- Use for: Important decisions
**UltraDeep Mode (20-45+ minutes)**
- 50+ sources
- 50+ sources accessed
- Maximum rigor with triangulation
- Use for: Enterprise critical analysis
### Guided Mode (without web search)
**Quick Mode (15-20 minutes total)**
- Request 2-5 sources from user
- Synthesize into concise report
- Use for: Initial exploration
**Standard Mode (30-45 minutes total)** [DEFAULT]
- Guide user to 10-15 key sources
- Multi-perspective synthesis
- Use for: Most research needs
**Deep Mode (1-2 hours total)**
- Guide user through 20+ sources
- Comprehensive synthesis with verification
- Use for: Important decisions
**UltraDeep Mode (2-4 hours total)**
- Multi-session research project
- Extensive source collection and analysis
- Use for: Enterprise critical analysis
### Hybrid Mode
- Combine training knowledge base (instant) with user-sourced updates (time varies)
- Clearly label which information comes from which source
## Guided Mode Workflow (For Models Without Web Search)
**This section is specifically for ChatGPT, Gemini, standard Claude, and other models without direct web access.**
### Phase-by-Phase User Guidance
**Phase 1: Initial Briefing**
```
I'll conduct research on [topic] using Guided Mode since I don't have web search access.
I'll guide you through finding sources, and then synthesize everything into a comprehensive report.
Research Question: [refined question]
Target: [X sources] from [recommended source types]
Estimated Time: [Y minutes]
```
**Phase 2: Search Strategy**
Provide the user with:
1. **Specific search queries** to use (e.g., "quantum computing commercialization 2024")
2. **Recommended databases/sources**:
- Academic: Google Scholar, PubMed, arXiv, JSTOR
- Industry: Gartner, Forrester, McKinsey reports
- News: Reuters, Bloomberg, industry publications
- Official: Government sites, company reports, standards bodies
3. **Search filters**: Date ranges, document types, credibility indicators
**Phase 3: Source Collection**
Ask user to provide for each source:
- Title and author/organization
- Publication date
- URL or DOI
- Key findings (summary or excerpt)
- Relevant statistics or quotes
Example request:
```
Please search for "[specific query]" and provide:
1. Top 3-5 most relevant results
2. For each: title, source, date, URL
3. Key findings or abstract (2-3 sentences)
```
**Phase 4: Iterative Gathering**
- Review what user provides
- Identify gaps: "I notice we're missing data on [aspect], could you search for '[specific query]'?"
- Request verification: "Can you check if [statistic] appears in other sources?"
- Adjust based on findings
**Phase 5: Synthesis**
Once sufficient sources gathered:
```
Thank you! I now have enough information to synthesize. Give me a moment to:
1. Cross-verify facts across sources
2. Assess source credibility
3. Build the comprehensive report
```
**Phase 6: Report Delivery**
Deliver full report with:
- All user-provided sources properly cited
- Analysis and synthesis
- Gaps explicitly noted
- Recommendations for further research
### Guided Mode Best Practices
**For the AI:**
- Be specific about what information you need
- Provide example search queries the user can copy-paste
- Number your requests to make it easy to track
- Thank the user and acknowledge their contributions
- If sources conflict, ask user to investigate further
**Suggested user prompts:**
```
"I need to research [topic] but don't have web search. Please guide me."
"Use Guided Mode - I'll provide sources as you request them."
"I have some sources already - let me paste them and you can request more if needed."
```
### Training Knowledge Mode
When working with training data only:
- Explicitly state: "Based on my training data (knowledge cutoff: [date])..."
- Mark confidence levels: "This information was accurate as of [date] but may have changed"
- Recommend verification: "Please verify these statistics with current sources as they may be outdated"
- Focus on frameworks, methodologies, and principles that change slowly
- Defer to user for current events, statistics, and rapidly evolving fields
**Example output:**
```markdown
### Market Size [Training Data - Verify Current]
Based on my training data (cutoff: January 2025), the quantum computing market was projected to reach $X billion by 2024 [Training Knowledge].
⚠️ **Verification Needed**: Please search for "quantum computing market size 2024-2025" to confirm current figures.
**Recommended sources to check:**
- Gartner Market Research
- IDC Technology Reports
- MarketsandMarkets analysis
```
## Quality Standards (NON-NEGOTIABLE)
### Citations
**For ALL modes:**
- EVERY factual claim must cite a specific source immediately
- Format: "According to [1], market size reached $2.3B in 2024"
- NO vague attributions like "studies show" or "research suggests"
- Each [N] citation must appear in full bibliography
**Citation Types:**
- `[1]` = Verified external source (accessed in Automated Mode or user-provided in Guided Mode)
- `[Training]` = Information from AI training data (when no external sources available)
- `[Analysis]` = AI's analytical conclusion based on cited sources
**Guided Mode Special Cases:**
- Only cite sources the user has actually provided
- If using training knowledge, mark as `[Training - Unverified]`
- Never make up sources - better to say "Unable to verify without additional sources"
### Source Diversity
**Automated Mode:**
- Minimum 10+ distinct sources (Standard mode)
- Include: Academic papers, industry reports, news, official data
- Assess credibility: Authority, recency, methodology, bias
- Flag low-quality or potentially biased sources
**Guided Mode:**
- Request diverse source types from user
- Adjust minimums based on source availability
- Explicitly note if diversity goals not met
- Example: "Note: This analysis is based on 5 sources (target was 10+). Additional sources recommended for: [specific areas]"
### Verification Requirements
- Major claims: 3+ source verification
- Statistics: Cross-check numbers across sources