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AI Engineering

AI Engineering Platform Pillars

Production AI engineering architecture: deterministic output schemas, OWASP guardrails, client-side BYOK key management, and multi-agent swarm orchestration.

PromptImageLab unifies modern AI engineering practices across six core architectural pillars. From visual multi-agent state machines to client-side encryption and autonomous IT operations.

1. Multi-Agent DAGs

Visual state machines, cycle detection, conditional branching, and full LangGraph code export.

Explore Agent Studio →

2. RAG Pipelines

Recursive chunking, cosine retrieval debugging, hybrid BM25 + dense search, and cross-encoder reranking.

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3. MCP Security

Vulnerability scanning for Model Context Protocol servers, permission blast radius, and shell injection checks.

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4. LLM Evaluation

Multi-model response diffing, schema drift detection, latency benchmarking, and token budget analytics.

Compare Models Matrix →

5. AI Security & Guardrails

OWASP LLM Top 10 defenses, direct prompt injection screening, PII redaction, and secret leakage prevention.

Trust & Security Posture →

6. Governed Operations

OpsPilot autonomous ServiceNow incident investigation, Datadog evidence correlation, and writeback.

Discover OpsPilot →