Studio
EA Intelligence Under the Hood Run History

EA Studio · Governance-Grade AI for Enterprise Architecture

Enterprise architecture,
generated with a paper trail.

EA Studio drafts and debates architecture artifacts on demand — then validates them, hashes them into a tamper-evident ledger, and prices every run. Two lanes: a fast generative lane for template-shaped work, and a deliberative six-advocate lane for high-stakes trade-offs.

Open EA Intelligence Suite

Separate page for daily trend chips, trusted Q&A, and RSS subscriptions.

Model Router

llm-tiebreaker

API keys & env vars ›
NVIDIA NIM ⭐NVIDIA_NIM_API_KEY — build.nvidia.com/free-credits (150+ models with one key) OpenAIOPENAI_API_KEY AnthropicANTHROPIC_API_KEY DeepSeekDEEPSEEK_API_KEY — platform.deepseek.com Kimi / MoonshotMOONSHOT_API_KEY — platform.moonshot.cn Qwen / AlibabaQWEN_API_KEY — dashscope.aliyuncs.com (also set DASHSCOPE_API_KEY) Google GeminiGEMINI_API_KEY — aistudio.google.com
Who

Enterprise architects and CTOs at institutions where every AI output needs an audit trail.

Regulated finance, multilateral development, healthcare, public sector.

Problem

AI outputs today are unaccountable. Copilots hallucinate; consultants leave.

Decisions get made without recorded rationale, sources, or defensibility.

Why now

Board-level scrutiny on AI meets executive appetite for speed.

You need artifacts that survive audit — and cost pennies, not billable weeks.

How it works
01 · INTAKE
You describe the ask

Natural language, or click a pathway card below.

02 · ROUTE
A classifier picks the lane

Keyword signal + optional LLM tiebreaker. You can override.

03 · GENERATE
Lane A drafts · Lane B debates

Template + RAG for A. Six advocates + guardrails + judge for B.

04 · PROVE
Validate · hash · price

MADR + WAF checks, chain hash, tokens & cost per run.

Choose a pathway

What do you need to decide, defend, or document?

Fast Draft — structured artifacts (fast, low cost). | Committee Debate — multi-agent trade-off analysis (slower, defensible).

Decision basis: if your ask is to draft or assess one artifact, use Fast Draft. If your ask is to compare options and justify a choice, use Committee Debate.

Selected
Architecture Decision Record Fast Draft (A)

You've made a decision and need to write it down with context, options, and consequences — MADR 3.0 format.

≈ $0.001  ·  ~5 s

ArchiMate + TOGAF ADR Fast Draft (A)

You need an ADR with a model-first ArchiMate workflow and structured chain prompting for TOGAF views.

≈ $0.001  ·  ~5 s

Well-Architected Review Fast Draft (A)

You need a workload scored across the five WAF pillars (Reliability, Security, Cost, Operational Excellence, Performance).

≈ $0.001  ·  ~5 s

Framework Selection Committee Debate (B)

You need to pick between agent orchestration frameworks (or any comparable platform set) with a defensible scorecard.

≈ $0.08  ·  ~60–90 s

Migration Study Committee Debate (B)

You're moving a workload to Azure and need a debated recommendation across Functions / ACA / App Service / AKS / VMs.

≈ $0.08  ·  ~60–90 s

Integration Pattern Committee Debate (B)

You're choosing between REST, event-driven, queue, iPaaS, streaming, or GraphQL federation for a system-to-system link.

≈ $0.08  ·  ~60–90 s

Landing Zone Committee Debate (B)

You need to pick a subscription / network topology (ALZ, Virtual WAN, hub-spoke, sovereign) for a new estate.

≈ $0.08  ·  ~60–90 s

RAG Pattern Committee Debate (B)

You need to choose a retrieval architecture — naive vector, hybrid, reranker, HyDE, GraphRAG, agentic, or long-context.

≈ $0.08  ·  ~60–90 s

Pathway workspace

Architecture Decision Record

You've made a decision and need to write it down with context, options, and consequences — MADR 3.0 format.

mode Fast Draft (A)  ·  est. ≈ $0.001 · ~5 s

Lane A context for this lane

This pathway runs template + validation flow with deterministic structure and provenance capture. Keep your prompt specific to produce a governance-ready first draft.

LLM context composer

Your prompt stays pinned to the selected pathway context.

Lane selector: Auto picks the best lane for your prompt. Lane A is faster and lower-cost. Lane B runs a deeper multi-agent debate with guardrails and judge scoring.