Perplexity has become my primary OS for information. I use it for hours every day, and it has almost entirely replaced other LLMs for me. It’s a true all-in-one powerhouse: from quick daily chores to deep technical research and multi-page project planning.
The UI is a masterclass in "clean focus" I love how it feels both on desktop and mobile. Features like sharing conversation links, seamless voice interaction, and the ability to switch between all top models in one place make it indispensable for my workflow. Even the image generation and file/photo analysis are surprisingly robust. It’s rare to find a tool that handles everything from shopping links to complex document summaries so gracefully.
The "hours or even months" claim is where it gets genuinely hard — most multi-agent systems don't fail on capability, they fail at decision points where the right move is ambiguous and the system either halts or guesses wrong at a cost. Curious what the governance model looks like for those moments: does Computer surface a checkpoint when it hits an underspecified branch mid-task, or does it attempt to resolve autonomously and flag it in a post-task summary?
The historical framing of "computer" as a person who divided and completed complex calculations is spot on and it reframes what this category of product actually is. Not an assistant. A coordinator.
The massively multi-model architecture is what separates this from everything else launching in this space. Routing each subtask to the best specialized model rather than forcing one LLM to do everything is the right call, and it mirrors how serious AI pipelines are actually built today.
I build multi-model orchestration systems myself and the hardest problem is always the routing layer, knowing which model to trust for which task and when to hand off. Curious how Perplexity handles that decision in practice, rule-based or learned? Congrats on a genuinely ambitious launch!
Super excited about this launch! :)
Perplexity Computer feels like a real step beyond “AI that chats” into AI that actually works.
Here’s why it’s interesting: It doesn’t just suggest. It executes.
Breaks your goals into tasks and subtasks
Spins up specialized sub-agents
Runs them in parallel
Keeps working for hours (or even months) until the job is done
It can handle:
Web research
Document drafting
Data processing
API calls to your connected tools
All inside isolated compute environments with:
A real filesystem
A real browser
Real tool integrations
That’s a big leap from typical “assistant” products.
Massively multi-model by design
Instead of relying on a single LLM, it:
Uses a core reasoning engine
Delegates subtasks to specialized models
Routes each step to the best model for the job
Research → one model
Images/video → another
Speed tasks → another
Long-context recall → another
It’s model-agnostic and gives users control over model selection + token budgets. As models evolve, your system evolves with them.
The name actually makes sense
Historically, a “computer” was a person who divided and completed complex calculations.
This feels like the modern version: A system that coordinates powerful models across tasks, tools, and time with accuracy as a core requirement.
Built on the same foundations as Comet (AI-native browser) and Comet Assistant. Available for Max subscribers.
Feels like Perplexity moving from “answers” to full, end-to-end execution.
@rohanrecommends How does the system handle errors or unexpected results from sub‑agents? Does it self‑correct?
Oh wow, there's really no demo/trial and it pushes you to paying 2K? :-O
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whenever i see perplexity i feel prouf of you @aravindsrinivas
Triforce Todos
Moving from answers to end-to-end execution is a bold step. Huge congrats on the launch, this is exciting to watch 🔥