Ninjō AI vs Scarlett: Features, Pricing & Which Is Better (2026)

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

Ninjō AI

Ninjo

Freemium

Infrastructure for AI sales agents on Instagram, WhatsApp and other DM channels, built and improved by talking to an LLM over MCP.

MCP Server Control Surface: Exposes agent creation, testing, analysis and improvement as MCP tools, so Claude, Claude Code, Codex or ChatGPT becomes the interface instead of a dashboard.
Cortex Playbook Library: Ships prompt templates, KPI rubrics and anti-patterns distilled from agents that ran in production, so a new agent inherits patterns that already converted rather than starting blank.
Multi-Channel DM Deployment: Connects agents to Instagram, WhatsApp and other direct-message channels where the selling actually happens, without a separate build per channel.
Versioned Changes with Rollback: Every edit to an agent is versioned and instantly reversible, so a bad prompt change during a live launch can be undone rather than debugged under pressure.
Synthetic Conversation Testing: Runs an agent against generated conversations before it reaches a real inbox, surfacing broken qualification logic ahead of launch.
Follow-Ups and Keyword Triggers: Fires scheduled follow-up sequences and keyword-based branches so stalled conversations get reopened automatically.
Built-In CRM and Funnel Analytics: Ninjo Studio provides real-time conversation views, contact records and funnel reporting in one panel for when you want direct oversight.
Payment Recovery Flows: Agents can chase declined payments conversation by conversation, a pattern the team credits for recovering 47 declined payments in a single four-day launch.

Creator and Coach Launches: Running a short high-volume launch where an agent qualifies inbound DMs, handles objections and sends payment links at a pace a human team cannot match.
Instagram Lead Qualification: Filtering hundreds of daily inbound Instagram messages down to the prospects worth a human sales call.
WhatsApp Sales Follow-Up: Reopening conversations that went quiet with timed follow-up sequences instead of leaving them to decay.
Agency Multi-Client Operations: Managing many client agents from a chat interface so a three or four person team can operate over a hundred agents.
Declined Payment Recovery: Having an agent work through failed transactions individually to recover revenue that would otherwise be written off.
Rapid Agent Iteration: Rewriting an agent's qualification logic mid-campaign and rolling back immediately if conversion drops.

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.