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Ninjō AI

Ninjō AI

AI

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

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About Ninjō AI

Ninjo is a platform for running AI sales agents in direct-message channels such as Instagram and WhatsApp, where the agent qualifies leads, answers objections, follows up and sends payment links. Its distinguishing idea is that the control surface is a chat, not a dashboard: the team exposed their whole agent-operations system through an MCP server, so you can open Claude, Claude Code, Codex or ChatGPT and describe the agent you want, and it ships connected to real DMs. Behind that sits Cortex, the prompt templates, KPI rubrics, anti-patterns and playbooks the team accumulated while running agents for clients, which the MCP tools draw on so new agents start from patterns that already converted. Every change is versioned with instant rollback, and agents can be tested against synthetic conversations before they touch a real inbox. A web panel called Ninjo Studio remains available for live conversation monitoring, the built-in CRM and funnel analytics when you want to watch the pipeline directly. The team reports 45+ clients and 150+ agents in production across 1.9M conversations.

Screenshots

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Key Features

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.

Use Cases

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.

Frequently asked questions about Ninjō AI

What is Ninjō AI?

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

How does Ninjō AI work?

Ninjō AI works by combining 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. to help users with 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..

What are the main features of Ninjō AI?

Key features include 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..

Who is Ninjō AI for?

Ninjō AI is useful for anyone interested in 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..

How much does Ninjō AI cost?

Ninjō AI offers a free tier with paid plans for advanced features.

How do I get started with Ninjō AI?

Visit https://www.ninjo.ai/ to sign up and explore Ninjō AI.

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