Phoenix.vu vs Scarlett: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Phoenix.vu and Scarlett — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Phoenix.vu

Freemium

An AI coding agent for Xcode that writes Swift, runs builds, fixes build errors automatically and shows diffs, while source code stays on your Mac.

Automatic Build Error Repair: Runs the Xcode build, identifies compile errors, applies fixes and re-validates the result through an iterative repair loop until the project compiles.
Side-by-Side Xcode Workflow: Sits next to Xcode with real-time build monitoring, diff review and inline approvals so you never leave the IDE to consult an AI.
Codebase Understanding Before Coding: Reads and understands the project structure before writing anything, so generated Swift fits the existing architecture rather than being pasted in blind.
Diff Review Before Apply: Every proposed change is shown as a reviewable diff that you approve or reject, so the agent never silently rewrites files.
Persistent Project Memory: Retains its understanding of your project across development sessions instead of relearning the codebase every time you start.
Local Source Code Storage: Source code stays on the Mac under a privacy-first architecture, with only inference context sent off-device.
Swift and SwiftUI Native: Built for the Apple ecosystem with deep Swift and SwiftUI understanding and native Xcode workflows rather than generic language support.
Usage-Based Credits: Pay per AI request with exact credit costs shown before and after every task, with no seats or subscription commitment.

Feature Implementation: Describe a new screen or capability in plain English and have the agent write the Swift, build it and hand back a reviewable diff.
Build Failure Triage: Hand a failing Xcode build to the agent and let it iterate through compile errors until the project builds again.
Legacy UIKit Modernization: Refactor older Apple codebases toward SwiftUI and current Swift idioms with the agent validating each step against a real build.
Privacy-Constrained Teams: Adopt an AI coding agent at organizations that cannot upload source to the cloud, since the code stays on the developer's Mac.
Occasional Contract Work: Pay only for the requests you actually make, which suits indie and contract Apple developers who do not want a monthly seat.
Code Change Auditing: Use the mandatory diff review step to keep tight control over exactly how AI modifies an app before release.

Freemium

AI co-worker in Slack — connects to 3,000+ tools, drafts decks, ships PDFs, writes code and runs scheduled workflows end to end.

Slack-Native Colleague: Install from the Slack App Directory and interact with Scarlett in threads like any teammate.
Own Cloud Workspace: Scarlett has her own cloud computer where she writes and runs code to deliver real outputs (PDFs, decks, dashboards, scripts).
3,000+ Integrations: Connects to Salesforce, HubSpot, Notion, Stripe, Linear, Jira, GitHub, Google Drive, Google Calendar, Google Ads, X/Twitter and more.
Scheduled Workflows: Recurring jobs like Daily Team Brief (7am), Weekly Business Report and Project Status Digest that post straight to Slack.
Prebuilt Workflow Templates: Meeting Prep Briefing, Customer Feedback Themes, Customer Support Triage and other ready-to-run team ops recipes.
Autonomous Operations Mode: Run Scarlett as an 'overnight review' agent that manages customers and reports on revenue, signups and churn.
Fast Onboarding: Set up in under 3 minutes; $50 in free credits to try before committing.

Marketing Ops: 'Pull our Meta Ads data and compare vs last month' delivered as a chart-backed Slack update.
Executive Briefings: Automatic morning briefs summarizing revenue, pipeline and support trends.
Support Triage: Scan tickets and emails daily, categorize issues, post the queue and summarize recurring problems.
Meeting Prep: Before an important meeting, pull attendee info, company context and the last email thread into one brief.
Customer Success: Group customer signals from support, email and Slack into themes, save recommended follow-ups to Notion.
Deliverables from Chat: Ask Scarlett for a marketing strategy PDF from a meeting recap and receive the file in the thread.