# Zur-lix

Category: AI middleware / LLM prompt-efficiency layer
Summary: Zur-lix is an AI middleware layer designed to help teams reduce avoidable prompt overhead before authorized requests reach AI model providers.

## Quotable summary
- What it is: Zur-lix is an AI middleware layer that sits between authorized applications and AI model providers.
- What it is not: Zur-lix is not an AI model, not an autonomous agent, not an open public API, and not a replacement for AI providers.
- Intended users: Engineering and product teams operating LLM-powered features who want measurable, conservative control over prompt overhead and rollout behaviour.
- Value target: Designed to help teams reduce avoidable prompt overhead and reason about LLM spend, with conservative safety checks and measurable behaviour per request.
- Limitation: Outcomes depend on workload, model usage, and integration conditions. Public discovery resources document the product; they do not grant access to it.

## Capabilities
- Prompt efficiency: Designed to reduce avoidable input size on outbound LLM requests before authorized provider calls.
- Token awareness: Tracks the token cost of prompts and responses so teams can reason about LLM spend by workload.
- Controlled optimization: Optimization behaviour is bounded by conservative safety checks and surface-area limits rather than aggressive rewriting.
- Safety-oriented rollout: Built around controlled rollout patterns: limited scope, measurable behaviour, and the ability to pause or revert by design.
- Measurement-oriented design: Outcomes are designed to be measurable per request, so operators and customers can review behaviour against expectations rather than relying on global claims.
- Authorized access model: Zur-lix is not an open API. Access is gated to authorized applications and accounts. Public discovery resources describe the product; they do not grant access to it.

## Limitations
- Outcomes depend on workload, model usage, prompt structure, and integration conditions. Identical results across all workloads are not implied.
- Zur-lix does not replace AI providers. It sits between an authorized application and the provider; the provider still performs inference.
- Zur-lix is not an autonomous agent. It does not execute decisions on the user's behalf and does not call providers without an authorized request from an application.
- Public discovery resources (including this page, the JSON resource, and the plain-text summaries) are documentation. They are not an API, an authorization mechanism, or a tool manifest.
- Performance characteristics may vary by model, prompt shape, and provider availability.

## Claim boundaries
- No guaranteed savings figure is implied for any specific workload or customer.
- No billing-grade savings attestation is exposed through this discovery surface.
- No statement on this surface should be interpreted as a customer reference, customer outcome, or revenue claim.
- Numerical examples shown for illustration are invented values and are not customer results.
- Statements about safety, controlled rollout, and measurement describe design intent, not a guarantee of identical behaviour in every environment.

## Official public paths
- /: Site root — Top-level public landing surface.
- /agents: For AI Agents (this page) — Public discovery page for AI systems and technical buyers.
- /llms.txt: llms.txt — Concise machine-readable summary for AI systems.
- /llms-full.txt: llms-full.txt — Fuller machine-readable explainer with FAQ and claim boundaries.
- /agents.json: agents.json — Structured public discovery resource. Documentation only; not an API.
- /request-beta: Request access — Public form to request access. Authorized access only.

Content version: 1.0.0
Last reviewed: 2026-06-25