Gemini Deep Research
Google's planning-first research agent that drafts a search plan you approve before it starts working.
Multi-step research agent that runs dozens of searches and returns a cited report instead of an answer.
Deep Research is Perplexity's long-running research mode. Given a question, it decomposes the topic, runs iterative web searches, reads sources, and produces a structured report with inline citations. The value is not raw answer quality but the audit trail: every claim links back to a retrievable source you can check.
Deep Research is an agent loop wrapped around a search engine. The model plans sub-questions, issues queries, reads results, notices gaps, and queries again — repeating until it judges coverage sufficient. Only then does it write.
That loop is why the output differs in kind from a single-shot answer. A chat response reflects one retrieval pass; a research run reflects many, with later queries shaped by what earlier ones returned. The report inherits the shape of the investigation.
The honest limitation is source discrimination. The agent is good at finding material and weaker at judging which material deserves weight, so a well-optimized blog post can end up cited beside a regulatory filing. Treat the output as a mapped territory with a bibliography, not as a finished piece of analysis — then verify the claims that matter. Our Perplexity review covers the wider product.
Google's planning-first research agent that drafts a search plan you approve before it starts working.
Anthropic
Terminal-native coding agent from Anthropic that reads, edits, and runs code directly inside your repository.
LangChain
Graph-based orchestration framework for stateful agents with explicit control flow and durable execution.
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The AI signal without the hype — new models, tools worth your time and what actually shipped. One email, no vendor pitches.