What is LEVERIE?
LEVERIE is an AI decision-table tool that lets teams write business rules as spreadsheet-style tables and turn them into deterministic tools their LLM agents can call over MCP. Instead of burying logic in code or prompts, you define typed inputs, write the conditional rows, and publish the rule for production. It is built for developers and teams who need readable, auditable business rules for tasks like triage, review, approval, routing, and refund logic. LEVERIE provides a free web-based editor for building typed decision tables, a test environment to validate real-world scenarios, and trace inspection that shows exactly which row matched for any given input, so behavior is explainable rather than a black box. Quality-assurance checks flag coverage gaps, duplicate rows, and unreachable rows before a rule ships. Published rules are reachable through a hosted API and exposed as Model Context Protocol (MCP) tools, which is how AI agents call them without custom glue code or hand-written JSON. The result is deterministic decisions an agent can invoke with a full trace of the matched logic. A free editor is available; specific paid pricing is not published on the page reviewed.
What is LEVERIE used for?
Turning business rules into deterministic MCP tools for AI agents
How much does LEVERIE cost?
Pros and cons
Pros
- Write business rules as typed decision tables instead of code or prompts
- Published rules become MCP tools agents can call directly
- Trace inspection shows exactly which row matched each input
- QA checks flag coverage gaps, duplicate, and unreachable rows
- Free web-based editor with a test environment and hosted API
Cons
- Developer-focused — assumes familiarity with MCP and agents
- Specific paid pricing is not published
- Narrow scope: decision logic only, not a full workflow platform
Questions about LEVERIE
What is LEVERIE used for?
LEVERIE is used to express business rules as decision tables and publish them as deterministic tools that LLM agents call over MCP. It suits logic like triage, approval, routing, and refunds where you need explainable, repeatable decisions.
How do AI agents use LEVERIE rules?
Published LEVERIE rules are exposed as Model Context Protocol (MCP) tools and reachable through a hosted API, so agents can call them without custom glue code or hand-written JSON, and each call returns a trace of the row that matched.
Is LEVERIE free?
LEVERIE offers a free web-based editor for building and testing decision tables. Specific paid plan pricing is not published on the site reviewed.
How is LEVERIE different from putting logic in prompts?
LEVERIE makes decisions deterministic and auditable. Each rule is a typed table with a clear matched-row trace and QA checks for coverage gaps and unreachable rows, instead of relying on a model to interpret logic in a prompt.
What are the best alternatives to LEVERIE?
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