Research Workflow
Perplexity vs Google Search: choosing a research path for technical decisions
How to decide when to use an AI answer engine and when to use traditional search for engineering and product research.
Use answer engines for orientation
Perplexity-style workflows are useful when a reader needs a quick map of a topic, common terms, and starting sources. The conversational layer can reduce the time needed to form better follow-up questions.
That speed should not be confused with verification. A synthesized answer is a lead, not the final authority.
Use search for primary-source checking
Traditional search remains important when the team needs official documentation, changelogs, pricing pages, legal text, and vendor-specific implementation notes.
For software architecture decisions, the safest workflow is often answer engine first, official documentation second, and manual notes third.
A practical workflow
Start with a broad question, collect candidate sources, open the primary pages, then write your own decision note. The final note should say what is known, what changed recently, and what needs re-checking before implementation.
