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Jorge Peraza
Jorge Peraza

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MonkeysAI — Live Playground (Development Preview)

We just launched something we've been building quietly inside the Monkeys ecosystem:

👉 MonkeysAI — Live Playground

This isn't a wrapper around a third-party API.

There are:

  • No OpenAI tokens
  • No external proxy layer
  • No hidden API dependency

It runs on our own infrastructure.


What Is MonkeysAI?

MonkeysAI is the AI layer for MonkeysCMS and MonkeysLegion — designed to integrate AI directly into content workflows at the architecture level.

Not as a plugin. Not as a SaaS add-on. As core infrastructure.

The Live Playground exposes the API directly in the browser so developers can test behavior before integrating it.


What You Can Do in the Playground

🧠 Generate
Create new content from a short brief.

Improve
Enhance clarity, tone, structure, or formatting of existing content.

🔎 Critique & Refine
Analyze content and automatically improve weak sections.


Smart Model Routing

One of the key pieces we built is dynamic model selection.

Instead of forcing users to choose a model manually, we route intelligently:

  • Fast Mode → Optimized for speed and lightweight generation
  • 🧠 Reasoning Mode → Used for deeper analysis and structured logic
  • 🎯 Auto Mode → Automatically selects the best model for the task

This allows:

  • Lower cost per request
  • Faster response times when complexity isn't required
  • Heavy reasoning only when necessary

Why Build It This Way?

Most AI integrations today:

  • Proxy requests to external APIs
  • Add latency
  • Lock you into vendor pricing
  • Break when token limits change

We wanted:

  • Infrastructure control
  • Predictable performance
  • Cost transparency
  • Full integration into CMS-level workflows

This approach required:

  • Custom orchestration
  • Model routing logic
  • Dedicated servers
  • Continuous dataset crawling & validation

It's slower to build — but architecturally cleaner.


Development Preview Notice

This is an early public preview.

We are actively improving:

  • Response quality
  • Crawling verification accuracy
  • Performance optimization
  • Output stability under load

It's not polished. But it's real.


What's Next?

The Playground is just step one.

The goal is deeper AI-native CMS features like:

  • Inline multilingual optimization (25+ languages)
  • Structured content reasoning
  • SEO-aware generation
  • AI-assisted migrations
  • Editorial workflow automation

Try It

If you're building:

  • A CMS
  • An AI product
  • A content engine
  • Or your own LLM infrastructure

I'd genuinely love feedback.

Try it. Stress it. Break it. Tell me what to improve.

👉 monkeyscms.com/#ai-playground

— Jorge

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