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Montlify

One workspace holding 33+ AI tools for writing, research and chat, with the accounts, subscriptions and infrastructure needed to keep them all running.

Open montlify.com

Product design, full-stack build and deployment

33+

AI tools sharing one account, quota and interface

Live

Running in production at montlify.com

SaaS

Authentication, subscription tiers and usage metering

What made it hard

A single AI tool is a weekend project. Thirty-three of them behind one login is a platform problem: every tool needs the same account, the same quota, the same billing state and the same interface, or the product stops feeling like one product and starts feeling like thirty-three stapled together.

How it was built

  1. 01

    One shell, many tools

    A shared application frame so each tool inherits authentication, quota, history and layout rather than reimplementing them. Adding a tool became a configuration change instead of a release.

  2. 02

    Model orchestration behind one interface

    Prompt management, streaming responses and per-tool routing, so the model behind any given tool can change without the front end knowing about it.

  3. 03

    Accounts, plans and metering

    Authentication, subscription tiers and per-user usage limits. The metering had to exist before anything could be priced, so it was built first rather than retrofitted.

  4. 04

    Deployed to take load

    Cloud deployment with caching on repeated work. In an AI product the cost line and the architecture are the same conversation, so both were designed together.

What it does

  • Writing tools
  • Research tools
  • AI chat
  • Workflow automation
  • User accounts
  • Subscription plans
  • Usage quotas
  • Streaming responses
More work

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Have something like this in mind?

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