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Cavaridge AI

The AI workspace built for operators, not just chatters.

Cavaridge AI is the flagship Studio for prompts, projects, and SoW automation. Behind the curtain: a router across 300+ models with per-tenant spend caps and provider failover. Tools exposed via MCP — your Claude, ChatGPT, or Cursor talks to Cavaridge AI like any native client.

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What's inside

  • Multi-model routing (MIS)

    Model Intelligence System benchmarks across 300+ OpenRouter models per task class. Cavaridge AI picks per request — your team picks the model when they want to override.

  • Caelum SoW automation

    Statements of Work bound by the locked SOW-MASTER-SPEC v2.3: Role | Scope | Hour-range labor tables, no rates in the doc, all dollar values resolved from tenantConfig at render.

  • Projects + memory

    Conversation organization, threaded projects, audit-logged memory across sessions with explicit user controls.

  • Per-tenant spend caps

    Cap LLM spend per tenant, per user, per task class. Cavaridge AI enforces server-side; runaway costs are impossible.

  • Vision, voice, code

    Image input, voice in/out where the underlying model supports it, code execution in a sandboxed runtime, file ingestion (PDF, DOCX, XLSX).

  • MCP outbound

    Cavaridge AI is itself an MCP server. Plug Cavaridge into Claude, ChatGPT, Cursor, or Cline — your AI client of choice talks to Cavaridge tools natively.

How does it stack up?

Compare Cavaridge AI head-to-head against the consumer/prosumer leaders. Every claim has a source link with access date — never marketing copy.