Build real software with the AI you already pay for.
CodeMonster is an AI app platform: a desktop app that connects the agent you already pay for to a backend that has carried enterprise workloads for twelve years. One organization license. Unlimited builders. No tokens. No credits. No meter.
You bring the AI subscription you already pay for — the Claude plan you have, or any MCP-capable agent. CodeMonster is invite only while we onboard early adopters one at a time: request an invite and we scope what you want to build together.
In this category, the meter is the business model.
Credits to build. Credits to debug. Credits while your live app runs. An auto-upgrade when you run out mid-sprint. Every prompt becomes a purchasing decision.
Illustrative counter, not a vendor quote. The mechanics are sourced below.
One organization license covers every builder in your organization and every app they ship. Your AI subscription is your only AI cost.
Billing mechanics as published by category vendors, 2026-08-14. Sources and the full teardown →
A real backend under every app.
Prompt-to-code tools are genuinely good at putting a working screen in front of you fast. What they hand back is generated code you now own, secure, and maintain. CodeMonster builds differently: every app is assembled from governed platform primitives — objects, forms, workflows, screens — on a low-code platform with years of enterprise workloads behind it.
The AI never freelances in your backend. It works through an authenticated control surface of approximately 100 named operations — every request authenticated, every change staged and previewable as an entity-level diff, every deployment reversible to the last good version.
The years in production are why it does not fall over. The control surface built for agents is why it moves at prompt speed.
Bring your own AI.
The CodeMonster desktop app connects your agent — running on the AI subscription you already pay for — to the platform over MCP. Your model choice, your context, your keys. No markup on tokens, because we never touch them.
You already pay for great AI. Stop paying a second time to use it.
A demo is deployed. Software is promoted.
Custom frontends promote develop → staging → production, role-gated: owners and editors promote to staging, owners alone promote to production or roll it back. Platform apps publish current → testing → production in one shot. Show the client before production, ship when they say yes, roll back if you ever need to — every deploy and promote is one click, with no pipelines to write and no DevOps hire required.
↩ rollback · RBAC-gated · versioned
How environments work
Closed in 24 hours.
The pattern the platform is built for: a sales engineer hears a process on Monday and shows working software on Tuesday — aimed at the prospect's actual problem, in their vocabulary. The stories in the series are illustrative until customers sign off; each is replaced by a verified, sourced version as they do.
- Monday · 2:00 PMDiscovery call. The prospect describes a process that is bleeding hours every week.
- Monday · 3:30 PMFirst prompt. The build starts on governed rails — objects, forms, workflow.
- Monday · 6:00 PMReview the build with the client. Tighten the details with a few more prompts. Nobody is watching a credit balance.
- Tuesday · 9:00 AMWorking software in front of the prospect — solving their problem, with their vocabulary, in their workflow.
For the person who has to say yes.
Every request authenticated. Promotion gated by RBAC, with versioned rollback. Tenant isolation at the data layer. And the agent builds through named, guarded operations rather than writing code into your backend. That is what twelve years in production buys: speed you can approve.
Start from a prompt that already works.
Blueprints are the primitives map and the starter prompt for apps that ship on the platform today. Copy the prompt, adjust the vocabulary, build.
Inspections with photos and signatures
Work queues, offline capture, PDF report on completion.
Open blueprintCRM-lite for a customer-specific deal
Accounts, contacts, tasks, assignment workflow — in the prospect's words.
Open blueprintMulti-step approvals
Intake form, conditional routing, email notifications, audit trail.
Open blueprintOne license. Everyone builds.
What's the catch?
You pay your AI provider directly — Claude, ChatGPT, whichever you already use. We never meter it, mark it up, or resell it. The organization license covers the platform: the backend, the environments, the governance. That is the whole arrangement.
Do I own my apps?
Your data is yours, always. Custom frontends are standard Vite/React you can take anywhere. Platform-built apps run on the platform — that is the trade: governed, secure, maintained rails instead of a pile of generated code you now have to secure and maintain yourself. The full answer, with a diagram, is on Do I own my apps?
Where do my apps run?
On managed cloud infrastructure we operate, built primarily on AWS. You do not provision servers, write deploy pipelines, or hire DevOps — dev, staging, production: one click each. The backend is not self-hostable.
What AI do I need?
Any subscription that can drive an MCP-capable agent. Claude Code is the path we test and document first; other MCP clients connect the same way. The desktop app connects your agent to the platform's control surface of named operations, and you are building.
Feed it a prompt.
Your first app is a conversation away — and the meter never starts.