Comparison

Skales vs Perplexity.
Local agent vs answer engine.

Perplexity tells you. Skales does. The two work well together, but they solve different problems.

The core distinction

Perplexity is a strong research surface. When you need a citation-backed answer with fresh sources, it is often the best tool for the job. It does not, by design, handle files on your computer or execute multi-step tasks on your behalf.

Skales is a local agent. The work lives where your files live. If your question ends with a verb, Skales is built for that; if it ends with a question mark and needs fresh sources, Perplexity is often the better starting point.

Side by side

A fair comparison of where each tool fits.

Agent vs answer engine

Skales

Skales is a desktop agent. Ask it to read emails, draft a reply, or automate a browser task, and it executes on your computer with your approval.

Perplexity

Perplexity is a cloud answer engine. You ask a question, it searches the web, summarizes, and cites sources. Excellent for research, not built for task execution.

Local vs cloud processing

Skales

Runs on your machine. With Ollama no data leaves the machine. Your files and history stay local.

Perplexity

Cloud-only service. Queries run on Perplexity infrastructure and are subject to their data policy.

Web search

Skales

Codework and Browser Playbooks can browse the web during a task. Not optimized for citation-heavy research at the depth Perplexity offers.

Perplexity

Web search is the product. Real-time sources, inline citations, focus modes for academic, Reddit, YouTube, and more. Strong at discovery.

Privacy and data handling

Skales

You choose what to share with which provider. Memory and files live on your computer. Fully offline with Ollama.

Perplexity

All queries are cloud queries. The Enterprise plan offers data controls; the consumer product retains usage per policy.

Model flexibility

Skales

Bring any provider or use local Ollama models. Swap freely based on task, cost, or privacy needs.

Perplexity

Uses its own model stack with access to a curated set (GPT, Claude, Grok, etc.) on paid plans. Routing is handled by Perplexity.

Cost structure

Skales

Free for personal use. BYOK at direct provider cost or zero ongoing cost with Ollama.

Perplexity

Free tier is capable. Pro is $20/month for higher usage and advanced models. Enterprise pricing scales with seats.

Quick comparison

FeatureSkalesPerplexity
Primary useExecute tasks on your computerAnswer questions with sources
Runs locallyYes (Ollama supported)No (cloud only)
CitationsWhen the model supports itCore feature
Local filesFull access with approvalUpload only
Scheduled tasksPlanner with cronNot available
PriceFree + API costsFree tier / $20/month Pro

When to use each

Choose Skales when you need:

  • An agent that acts, not just answers
  • Full local file and app access
  • Scheduled automation
  • Ollama for fully offline privacy
  • Any model provider, your choice

Perplexity may suit you better for:

  • Citation-backed web research
  • Fast, up-to-date answers
  • Academic and news focus modes
  • Mobile-first research sessions
  • Shareable answer threads

Try the local agent approach

Free for personal use. Windows, macOS, and Linux. No account required.