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We're integrating Deep Research as a native skill inside Computer. It now connects to the agent harness that powers Computer, with access to search as code generation, long running sandboxes, connectors, tools, and licensed data. Available now to Pro and Max subscribers.

87,780 次观看 • 5 个月前 •via X (Twitter)

33 条评论

Perplexity 的头像
Perplexity5 个月前

Deep Research in Computer is built on our Search as Code architecture. The model writes code that assembles search itself, running thousands of retrieval steps in parallel, tailored to each question. It outperforms legacy Deep Research on every benchmark.

Perplexity 的头像
Perplexity5 个月前

Learn more about Deep Research in Computer:

Filo 的头像
Filo5 个月前

Perplexity is so underrated.

Himanshu Kumar 的头像
Himanshu Kumar5 个月前

pplx deep research is actually best.. not with computer it will actually Reduce the hallucinations.. gonna try out today and share my new workflows.

Chevy Phillip 的头像
Chevy Phillip5 个月前

What’s the deal with Comet search? Input a search term and it returns garbage phishing links. Type in Aetna. It returns. Aetna international makes no sense.

RH Fardin 的头像
RH Fardin3 个月前

Deep Research inside the same agent harness as sandboxes, connectors and licensed data is the right architecture. Research that can't act is just a fancy tab.

Mira 的头像
Mira5 个月前

Deep Research as a native skill in the agent harness is the right architecture decision. Research that can be triggered by other agents, not just by the user, changes what you can build on top. The harness layer is where the interesting orchestration actually happens.

LurkMoarTV 的头像
LurkMoarTV5 个月前

I'll be taking advantage of this today! Perplexity keeps releasing new features and functionality that other AI services can't tough.

Vanar 的头像
Vanar5 个月前

🔥🔥

Umar Nasser 的头像
Umar Nasser5 个月前

To what extent is this your search infrastructure vs. you're now using Fable 5 rather than Opus 4.8?

AIBuildersDaily 的头像
AIBuildersDaily5 个月前

@perplexity_ai This is huge, Deep Research + Computer agent = finally closing the “research → action” gap. No more copy-pasting outputs into tools or babysitting agents.

A.kamal 的头像
A.kamal5 个月前

Interesting!

James Clawn 的头像
James Clawn4 个月前

Generated search code raises one useful audit question: can an operator replay the exact retrieval path after a disputed answer?

Tatted 的头像
Tatted5 个月前

every AI product announcement is just "we connected the thing to the other thing" with a different thumbnail

Eldar Hasanov 的头像
Eldar Hasanov4 个月前

damn i have been using shallow research

Olga Alexandrova 的头像
Olga Alexandrova5 个月前

the "long running sandboxes" part got me. last week i had openclaw spin one up to scrape and reconcile two years of messy invoices while i did other stuff, came back to a clean csv. didn't expect that to just work.

Wayan 的头像
Wayan5 个月前

Deep Research gets much more useful when it can run inside the same harness that writes code, tests paths, and pulls licensed data.

Apoorv Joshi 的头像
Apoorv Joshi5 个月前

@AravSrinivas Research is becoming less about finding information and more about turning information into action. That's a much bigger shift than most people realize.

Viet Q Nguyen 的头像
Viet Q Nguyen5 个月前

Ah, you guys are awesome! Search is such a huge competitive advantage. Discovery is as important as any other part of the agentic workflow loop - and you're shipping pure magic right now.

Vertex 的头像
Vertex5 个月前

agents getting agents now.

AqibAi 的头像
AqibAi5 个月前

Deep Research is evolving from a feature into infrastructure. Search, code generation, long-running sandboxes, connectors, tools, and licensed data—all wired directly into the agent loop. The gap between "researching" and "doing" keeps getting smaller.

Baris Arapoglu 的头像
Baris Arapoglu4 个月前

My coöputer credit has ended end of May and credit renewal date was shown as 09.06.2026. However, when that date arrived, it was suddenly changed to 09.07.2026 without any explanation. I have already submitted a mail about this but no reply till now. Please explain, why my credit didnot renewal and renewal date changed

𝗢𝗠𝗘𝗚𝗔 的头像
𝗢𝗠𝗘𝗚𝗔5 个月前

agent loops skip the sandbox friction connectors run without prompt switching

Jeff Joyce 的头像
Jeff Joyce5 个月前

This is a better Computer test than a one-off browser trick. When research, code gen, connectors, and sandboxes all touch the same task, I’d want the run to show which sources/tools it used before I trust the final answer.

Latent Local 的头像
Latent Local5 个月前

I don’t get it. Why couldn’t legacy deep research also do that? What am I missing about why this integration is necessary for the performance delta?

Macro Bombastic 的头像
Macro Bombastic5 个月前

Nice to see Perplexity actually shipping useful integrations instead of just talking about them

@ArtDuPrompt 的头像
@ArtDuPrompt4 个月前

L'IA ne va pas remplacer les pros, ce sont les pros qui maîtrisent l'IA qui vont remplacer les autres. Prends une longueur d'avance dès aujourd'hui : 💼 #FuturDuTravail #IA #Prompting

M. Sherman 的头像
M. Sherman4 个月前

@perplexity_ai has had 12 days to fix their sign in issues of my enterprise pro account and still NO HUMAN CONTACT and NO ETA to be fixed! What a joke!!!!!

AI Mastery Guide 的头像
AI Mastery Guide5 个月前

Deep Research with live sandboxes and licensed data access is a different beast entirely. Research agents just got a serious upgrade.

Ferbin 的头像
Ferbin5 个月前

search as code in parallel sandboxes is interesting. but agents running 50 retrieval steps cost money. when does accuracy gain beat the bill?

Sayak Banerjee 的头像
Sayak Banerjee5 个月前

Congrats @AravSrinivas! Will set up @perplexity_ai computer on my lappy. 🫠🫠🫠👏👏👏👏👏

Connor Curious 的头像
Connor Curious5 个月前

Benchmarks are jumping hard (e.g. BrowseComp 40.7% → 83.8%). This feels like a big step for agentic research. Perplexity just leveled up Deep Research by embedding it natively into Computer, routing subtasks across 20+ frontier models for better accuracy, reports, and dashboards. Great breakdown here:

Ferbin 的头像
Ferbin5 个月前

finding papers is solved. the hard part: telling apart what actually works from what only works in the lab. that's what builders really need.

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