Tutorial on building custom AI assistants within Perplexity using Spaces and custom instructions, optimized for Perplexity's search-first paradigm.
Guide for creating Perplexity-style custom assistants in Perplexity using Spaces. Covers the key differences from Perplexity's approach: 1. Search-first: instructions should guide source selection, not just output format 2. Citation handling: configure how sources are presented 3. Real-time data: leverage live search vs. static knowledge 4. Focus modes: map instructions to specific search domains Includes examples for research assistant, writing coach, and technical advisor configurations.
Perplexity Space rules for researching AI ethics, governance frameworks, responsible AI practices, and regulatory developments in artificial intelligence.
Perplexity Space configuration for researching climate science, energy policy, sustainability metrics, and environmental regulations with scientific rigor.
Perplexity Space rules for researching talent markets, compensation benchmarks, hiring trends, and building data-backed recruitment strategies.
Perplexity Space configuration for cybersecurity threat intelligence research, vulnerability tracking, incident analysis, and security posture assessment.
Rules for controlling Perplexity's output format, citation style, depth of analysis, and response structure for professional research workflows.
Perplexity Space configuration for tracking and researching regulatory compliance requirements across industries and jurisdictions.