
Ninjō AI
AI sales agents on any channel that runs from Claude Code
142 followers
AI sales agents on any channel that runs from Claude Code
142 followers
Ninjō is infrastructure for AI sales agents on Instagram, WhatsApp & every channel where you sell. Create, test, analyze and improve agents by talking to Claude, ChatGPT, Claude Code or Codex via MCP — backed by templates validated across 150+ production agents that closed real revenue ($750K generated for clients). Versioned changes with instant rollback, synthetic-conversation testing, follow-ups, keyword triggers and a built-in CRM. Zero to live in minutes. Start free with 1,000 messages.





Hi Lorenzo,
this sounds extremely interesting and useful (and something that could help me cover the part where I, as someone who spent the last 20+ years writing software, suck) - is it safe to use this kind of product in the age where most of the content online is AI-generated and people are very quickly getting sick of seeing the usual AI patterns anywhere?
I am not trying to be annoying, I'd genuinely like to use this kind of product.
@foobar_beer Not annoying at all, it's the right question. The AI-slop fatigue is real, but I think it's mostly a content problem... mass-produced posts nobody asked for. We work 1:1 in DMs, where the person already raised their hand. And sounding human has been our whole focus from day one. We started with creators, where the agent had to represent an actual person. So we had no choice but to solve it. We've put a lot of development into exactly that, and at this point all our agents read as human.
You can build a good agent in a few minutes using the MCP! Give it a try: https://www.ninjo.ai/
This looks awesome... what's the one use case that's driven the most revenue for a single client so far? Would love a real example
@agustin_oroquieta Thanks! Few examples here:
1. Launches. An agency client runs product launches over WhatsApp. In one 4-day launch a single agent: qualifying, handling objections, closing.
The part I didn't expect was where a real chunk came from: the agent chased declined payments one by one in the chat and recovered 47 of them. At launch peak every unanswered minute is money on the floor, and a human team physically cannot keep up with that volume inside that window.
2. Ads → DM → high-ticket call (the most repeatable one). Way more boring, and it's what most of our clients actually run: paid ads straight into IG/WhatsApp DMs, the agent qualifies and books the call, a human closes. One client sits at 200+ booked calls a month, every month, ~$200K generated. Less spectacular than a launch spike, but it compounds instead of ending on day 4.
3. The one I'm most excited about: an insurance broker. The agent quotes car insurance inside the chat, real quotes from 6 carriers, 29 options across 5 tiers, pulled live through a custom tool. You send a license plate and a postal code and get actual prices in the conversation instead of a link to a form.
Happy to go deeper on the mechanics of any of them.
Love the proposal — I'll run a test on my end and get back to you. It's a great fit for my current use case.
@pablo_ferrero Thanks! let us know your experience!
More than an AI setter, a whole AI comercial solution. Amazing work! Lets see the automated CRM running
@benjamin_sonne yes! we're launching soon the agentic CRM and the new version of the UI.
Congrats on the launch!
@mcarmonas Thanks!
the insurance quoting example is a great one — that's a use case where a bad answer is a compliance problem, not just an annoying one. how's handoff handled when the agent isn't confident mid-conversation? still feels like the hard part on multi-channel agents like this