Perplexity Computer: We TESTED It So You Don't Have To — Superbash Learn

Superbash Learn

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Key takeaways

Start on the $20/mo Pro plan and top up with credits before any real workload — the demo burned ~$3 for a single research deck with no free credits included.
Set the orchestrator model to Sonnet as the default and only escalate to Opus/GPT-4.5 when a task truly needs it, since model selection is the main cost lever.
Avoid leaving long, ambiguous tasks unattended — a stuck agent can loop and drain credits silently with no built-in kill switch.
Use the cron-style scheduler for repetitive jobs (daily AI briefings, portfolio updates) instead of re-prompting manually, but benchmark cost-per-run before relying on it.
If you need customization — folder layout, custom skills, VPS hosting, database deploys — skip Perplexity Computer and stay on OpenClaw or build a MaxClaw + coding-plan stack at ~$15/mo for effectively unlimited usage.
Prefer the Slack team-member integration over ad-hoc prompts for recurring team workflows, since scheduled execution is the main capability you cannot get from stock ChatGPT or Grok.
Watch for PowerPoint-as-default output — if you actually want web/Next.js deliverables, you must specify it in the prompt, unlike a tuned OpenClaw.
If you only need a static research deck and are cost-sensitive, route the same job through a Minimax-style relay at ~$0.30 per deck instead of paying Perplexity's premium token rate.

Video summary

Companion notes

Perplexity Computer ships a pre-trained OpenClaw for $20/mo Pro, but burns ~$3 per research deck and offers zero customization.

What it actually is

Perplexity Computer lives behind a "Computer" button inside Perplexity and bundles a pre-installed agent orchestrator that runs sub-agents in parallel — the same pattern OpenClaw users spend weeks wiring up. The video's analogy: "it's like Apple making a phone for you rather than you building your own PC." Default model is Sonnet; users can swap to Opus or GPT-4.5-tier models inside the orchestrator selector.

The test

One prompt: "research the latest happenings in the AI space, collect multiple sources, make a presentation." It chose PowerPoint over a Next.js build, pulled sources, and produced slides with charts — "charts" being a feature the hosts note their own OpenClaw daily briefing lacks. The final deck looked less generic than R1's output, which they attribute to pre-trained skills.

The real cost

This is gated behind the $20/mo Perplexity Pro plan with no included credits — credits are pay-as-you-go top-ups. A $15 top-up bought 15,000 credits, and the single demo consumed about $2–$3. For comparison, the hosts estimate their MaxClaw + coding plan stack runs ~$15/mo for effectively unlimited usage, and routing the same deck through Minimax-style relays would cost ~$0.30. No way to opt out of premium token pricing.

Scheduled tasks and integrations

Cron-style scheduled prompts work (e.g. daily AI briefings, portfolio analysis), matching OpenClaw's cron jobs — a capability "you cannot do on a regular non-OpenClaw type space." Latest addition: add Computer as a Slack team member, mirroring a Discord bot workflow.

What's missing

No composability, no skill customization, no file/folder control, no VPS hosting, no database deploys. On a complex task that loops, it can drain credits silently. The hosts flag this as the reason Perplexity rolled it out to Max subscribers first.

Who it's for

Non-AI-native users who "don't want to tinker with terminals" and just want a pre-grown OpenClaw. Power users should stay on OpenClaw — "you have less frustrations on Perplexity Computer, but you have a lot more power" on OpenClaw.

Watch on YouTube

Prefer the native player? Open it on YouTube: https://www.youtube.com/watch?v=syds9qp4SfY