majiayu000 Perplexity Deep Search
Deep research using Perplexity AI. Comprehensive reports with citations and analysis.
When to Use
| Use Case | Example |
|---|---|
| Market research | "Competitive analysis of AI coding assistants" |
| Technology evaluation | "Compare vector databases for production use" |
| Trend analysis | "State of MCP ecosystem 2025" |
| Due diligence | "Company X funding, team, product overview" |
| Learning | "Explain quantum computing to a programmer" |
vs Other Research Tools
| Tool | Best For | Depth |
|---|---|---|
| Perplexity | Quick, cited answers | Medium |
| Pokee Deep Research | Comprehensive reports | Deep (25+ min) |
| Web Search | Specific facts | Shallow |
| arXiv Watcher | Academic papers | Deep |
Workflow
1. Targeted Query
Be specific:
"Compare Supabase vs Firebase for real-time apps in 2025.
Focus on: scalability, pricing, self-hosting options."
2. Follow-Up Questions
Drill deeper:
"What are the specific limitations of Firebase's real-time
sync at 10k+ concurrent users?"
3. Synthesis
Combine multiple sources:
"Based on the above, which is better for a startup with
< 1000 users planning to scale to 100k?"
Output Format
Request structured output:
## Summary
2-3 sentence overview
## Key Findings
- Point 1 (with citation)
- Point 2 (with citation)
## Comparison Table
| Criteria | Option A | Option B |
|----------|----------|----------|
## Recommendations
1. Best for X
2. Best for Y
## Sources
- [Title](URL)
Automation
{
"name": "weekly-tech-digest",
"schedule": {"kind": "cron", "expr": "0 9 * * 1"},
"payload": {
"kind": "agentTurn",
"message": "Use perplexity to research: 'AI agent frameworks 2025'. Focus on new releases, emerging standards, key players."
},
"sessionTarget": "isolated",
"notify": true
}
Best Practices
- Be specific — Narrow queries get better results
- Request citations — Verify claims
- Follow up — One query rarely tells the full story
- Save findings — Add to MEMORY.md for future reference
- Cross-check — Confirm critical facts with primary sources