Perplexity Computer: An Honest Look at the Hype

Short summary

Author tested Perplexity Computer against Make and n8n for a lead research pipeline and found its integrated search layer valuable but architectural limitations (implicit data handoffs, no external triggers) create bottlenecks at scale. While strong for research-heavy prototyping, production use requires explicit inter-agent schemas and volume testing. Clear guidance on when Perplexity fits versus when you need explicit control.

• •Perplexity's native search integration outperforms Make/n8n for research workflows but lacks external trigger and API support
• •Implicit agent data passing fails at 50+ inputs; explicit schemas between agents are non-negotiable for production systems
• •Best for non-technical teams prototyping research-heavy workflows; developers need fine-grained control of Make or n8n

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