Research Workflows with Auto-Perplexity

One of Magicdoor's most powerful features is automatic Perplexity integration. When you ask questions that need current information, Magicdoor automatically routes your query to Perplexity for web search, then brings the results back to your chosen model for analysis.

This creates incredibly efficient research workflows that would normally require switching between multiple tools.

How Auto-Perplexity Works

Automatic triggering: Magicdoor detects when your question needs current information and automatically uses Perplexity to search the web. You don't need to do anything special - it just works.

Seamless integration: The search results are fed back to your chosen model (Claude, GPT, Gemini, etc.) for analysis and synthesis.

Smart routing: The system knows when to search and when to use the model's existing knowledge.

Research Workflow Examples

Market Research Workflow

Step 1: Start with a broad research question

What are the current trends in the AI coding assistant market?

What happens: Magicdoor automatically searches for recent information via Perplexity, then analyzes the findings.

Step 2: Dig deeper with follow-ups

Based on that research, what are the main competitive advantages different platforms are claiming?

Step 3: Switch to analysis mode

Now help me identify gaps in the market that aren't being addressed.

Result: You get current market data, competitive analysis, and strategic insights in one conversation.

Academic Research Workflow

Step 1: Gather recent studies

Find the latest research on renewable energy efficiency published in 2024.

Step 2: Synthesize findings

Summarize the key findings from these studies and identify common themes.

Step 3: Switch to Claude Opus for deep analysis

Based on this research, what are the most promising directions for future development?

Result: Current academic sources combined with sophisticated analysis.

Investment Research Workflow

Step 1: Get current data

What's the current financial performance of major cloud computing companies?

Step 2: Analyze trends

Based on these numbers, which companies show the strongest growth trajectory?

Step 3: Switch to reasoning model

Create an investment thesis for the top 2 companies, considering risk factors.

Result: Real-time financial data with sophisticated investment analysis.

Advanced Research Techniques

Multi-Angle Research

Instead of asking one broad question, break your research into specific angles:

1. "What are the latest developments in quantum computing hardware?"
2. "What are the main challenges facing quantum computing adoption?"
3. "Which companies are leading quantum computing investment?"

Each question triggers auto-Perplexity, giving you comprehensive coverage of your topic.

Fact-Checking Workflow

Use auto-Perplexity to verify claims or get sources:

I read that "90% of Fortune 500 companies use AI in their operations." Can you verify this statistic and find the original source?

Competitive Intelligence

What new features have ChatGPT, Claude, and Gemini announced in the last 3 months?

Auto-Perplexity finds the latest announcements, then your chosen model analyzes the competitive landscape.

When to Use Manual Perplexity vs Auto-Perplexity

Use Auto-Perplexity (default) when:

• You want research combined with analysis
• You need current info as part of a broader conversation
• You're doing multi-step workflows that include research
• You want the convenience of not switching models

Switch to manual Perplexity when:

• You need citations and sources
• You're doing pure fact-finding
• You want Perplexity's specialized research interface
• You're building a research brief with Deep Research

Model Selection for Research Analysis

After auto-Perplexity gathers information, different models excel at different types of analysis:

Claude 4 Sonnet: Best for nuanced interpretation and connecting insights GPT-5: Great for creative synthesis and practical applications
Gemini 2.5 Pro: Excellent for structured analysis and data organization Claude Opus: Use for the most important, high-stakes research analysis

Cost-Effective Research Tips

Start broad, then narrow: Begin with general questions to get an overview, then ask specific follow-ups.

Use efficient models for synthesis: Let auto-Perplexity do the searching, then use GPT-5 Mini or Gemini Flash for basic analysis.

Save premium models for final analysis: Use Claude Opus or reasoning models only for your most important conclusions.

Batch related questions: Ask multiple related questions in one conversation to maintain context.

Research Workflow Templates

Product Research Template

1. "What are users saying about [product category] on social media recently?"
2. "What are the main complaints and praise points?"
3. "Based on this feedback, what features are most requested?"
4. Switch to Claude: "Help me prioritize these features for development."

Content Research Template

1. "What topics are trending in [your industry] this month?"
2. "What questions are people asking about these topics?"
3. "What gaps exist in current content coverage?"
4. Switch to GPT-5: "Create content ideas that fill these gaps."

Decision Research Template

1. "What are the current options for [decision topic]?"
2. "What are the pros and cons of each option?"
3. "What do experts recommend and why?"
4. Switch to reasoning model: "Based on my situation [provide context], which option should I choose?"

Troubleshooting Auto-Perplexity

If auto-Perplexity doesn't trigger: Your question might be too general or the model thinks it has sufficient knowledge. Try asking for "current" or "recent" information specifically.

If you get outdated info: Add phrases like "in 2025" or "latest developments" to trigger web search.

If you need sources: Switch to manual Perplexity mode or ask "Can you find sources for this information?"

Auto-Perplexity transforms Magicdoor from a chat tool into a complete research platform. You get the best of both worlds: current information from the web combined with sophisticated AI analysis, all in one seamless conversation.