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Scott Griffiths
Scott Griffiths

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Interactive AI Safety Playgrounds: Enterprise AI in Action

Hands-on demonstration of OAS, DACP, BCE, and Cortex working together in real-time

Enterprise AI deployment has a dirty secret: most organizations spend more time fighting their AI systems than benefiting from them. Between runaway costs, unpredictable outputs, and security nightmares, it's no wonder that 73% of AI projects never make it to production.

We've built something different. And now you can see it in action.

The Problem with AI Demos

Most AI safety demonstrations are either academic papers with toy examples or marketing slides with impossible promises. What you don't see are real systems handling real complexity at enterprise scale.

That changes today.

We've launched interactive playgrounds that let you experience the complete AI safety stack in your browser. No accounts, no setup, no bullshit. Just click and explore the technology that's solving enterprise AI's biggest problems.

Try the Technology Stack

🛠️ OAS Engine Playground

What it demonstrates: How to generate production-ready AI agents from simple YAML specifications

Why it matters: Most organizations struggle to standardize AI agent development across teams. Our Open Agent Spec (OAS) lets you define agents declaratively and generate code for 6 different LLM engines.

What you'll see:

  • Real YAML-to-code generation in your browser
  • Side-by-side comparison of OpenAI, Claude, Grok, Local, Custom, and Cortex engines
  • Complete agent specifications with behavioral contracts
  • Actual CLI commands you'd run in production

The magic moment: Watch identical agent specifications generate completely different integration code for each LLM provider, while maintaining consistent behavior through behavioral contracts.

🔄 DACP Workflow Playground

What it demonstrates: Multi-agent orchestration with declarative workflow definitions

Why it matters: Enterprise AI isn't about single-shot queries. It's about coordinated workflows where multiple AI agents collaborate to solve complex problems.

What you'll see:

  • Real-time multi-agent communication across different LLM providers
  • 3-stage security operations pipeline (threat analysis → risk assessment → incident response)
  • Agent-to-agent message routing with conditional escalation
  • Live workflow visualization with progress tracking

The magic moment: Watch a security incident flow through three different AI agents (Claude for threat analysis, Claude for risk assessment, OpenAI for incident response) with automatic escalation based on risk scores.

🛡️ Live Security Dashboard

What it demonstrates: Real-time AI safety monitoring with behavioral contract enforcement

Why it matters: You can't manage what you can't measure. Enterprise AI needs comprehensive monitoring, not just "is the API responding?"

What you'll see:

  • Live threat detection pipeline processing real security events
  • Behavioral contract validation in action
  • Multi-stage agent processing with performance metrics
  • Cost optimization recommendations from Cortex

The magic moment: Watch behavioral contracts catch and correct AI agent violations in real-time, maintaining system reliability even when individual agents misbehave.

The Cost Optimization Revolution

Here's where it gets interesting. Traditional enterprise AI consultants will quote you $200k-500k for a basic multi-agent deployment. Our Cortex cost optimization technology achieves 85-95% cost reduction through intelligent routing.

See it yourself: Run the OAS playground and watch Cortex analyze your agent requirements in real-time, automatically selecting the optimal engine based on:

  • Cost per token (40% weighting)
  • Response speed (30% weighting)
  • Reliability score (30% weighting)

The result? Enterprise-grade AI capabilities at startup prices.

What Makes This Different

Real Production Code

These aren't demos or mockups. Every YAML specification generates actual production code you could deploy today. The behavioral contracts are the same ones protecting our live systems.

Multi-Engine Reality

Most demos show you one LLM provider. We show you six, including cost optimization routing that saves 90%+ on API calls while maintaining quality.

Enterprise Complexity

Our workflows demonstrate real enterprise scenarios: security operations, compliance monitoring, incident response. Not toy examples, but the complex coordination enterprises actually need.

Transparent Technology

Every algorithm is explained. Every cost calculation is shown. Every routing decision is justified. No black boxes, no "trust us" moments.

The Technology Behind the Magic

Open Agent Spec (OAS): Command-line tool for generating AI agents from YAML specifications. Supports 6 engines with behavioral contract enforcement.

Declarative Agent Communication Protocol (DACP): Workflow orchestration language for multi-agent systems. Think Kubernetes for AI agents.

Behavioral Contract Engineering (BCE): 5-stage validation pipeline ensuring AI agents operate within defined safety boundaries. Includes context-aware validation that prevents hallucinations by ensuring outputs are grounded in actual input data rather than fabricated information.

Cortex Cost Optimization: Intelligent routing system achieving 85-95% cost reduction through real-time engine selection.

Try It Now

  1. Start with OAS: Generate a security agent and see YAML-to-code magic
  2. Explore DACP: Watch multi-agent workflows coordinate across LLM providers
  3. Monitor with BCE: See real-time safety validation in action

No registration required. No sales calls. Just technology that works.

What's Next

We're actively deploying this stack with enterprise clients achieving:

  • 94% reduction in AI-related security incidents
  • 90% cost savings through Cortex optimization
  • 10x faster agent development through OAS standardization

If you're tired of AI projects that promise the moon and deliver PowerPoints, these playgrounds show what's actually possible when you build AI safety into the foundation rather than bolting it on afterward.

Ready to see your AI systems actually work reliably? Start with the playgrounds, then let's talk about bringing this technology to your organization.


Built and deployed by PrimeVector - the AI safety consultancy that shows its work.

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