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Reference Build

AI Control Center

Unify models, keys, quality, routing, usage, cost, and business AI entry points.

The individual products API Node, TrueAPI, and WebUI are live. The integrated AI Control Center reference build is not deployed or independently verified as one product.

SoloCore Lab · AI Control Center

Fictional demo data

Requests today

1,284

Current viewProviders

Provider A

large-reasoning

99.98%620ms

Provider B

fast-general

99.94%280ms

Provider C

batch-efficient

99.91%840ms

Supply health

3 / 3

routes available

The problem

Teams connect directly to different models, eroding reliability, access, cost control, and auditability.

Before

Providers, keys, logs, routing, and workspaces are managed separately, making failures manual to diagnose.

How the system changes it

Use a unified gateway and control plane for supply checks, routing policy, virtual keys, quota, workspace access, logs, and evaluation.

From input to outcome

  1. 01

    Model onboarding

    Register provider source, capability, region, and cost boundaries.

  2. 02

    Quality & capacity

    Check availability, response, model identity, and capacity signals.

  3. 03

    Routing & access

    Select routes by task, organization, quality, and budget.

  4. 04

    Usage & improvement

    Record cost, failures, latency, and evaluation outcomes.

Operating responsibility

Ownership and recovery

Workflow owner

AI operations owns models, runs, and budgets; security owns tool permissions and guardrails.

Human control

Budget overrides, new tool permissions, high-risk calls, and blocked-output handling require named approval.

Recovery path

Stop the run and revoke tool tokens; retry on an approved model or fallback path, then record the incident and audit trail.

What the system contains

  • 01Multi-model compatible gateway
  • 02Keys, quota, quality, and routing
  • 03Workspace, logs, cost, and evaluation

Outcomes it can create

  • Business systems use one model-access contract
  • Quality, failures, and cost enter continuous governance

Custom last mile

The reference build provides the common structure; custom work focuses on client-specific data, integrations, permissions, rules, and interface.

  • Provider, routing, and budget policies
  • Enterprise identity, data-region, and evaluation policies

Evidence and boundary

Supporting evidence covers only the validated parts and is not expanded into a claim that the full system is deployed.

The individual products API Node, TrueAPI, and WebUI are live. The integrated AI Control Center reference build is not deployed or independently verified as one product.

SoloCore Product

SoloCore API Node

A live gateway for unified model channels, keys, quota, logs, and compatible APIs.

Model charges, data region, and enterprise identity integration depend on project and upstream provider scope.

SoloCore Product

TrueAPI Beta

An AI API control plane connecting upstream quality checks, model routing, personal aggregation, supply controls, and usage settlement.

Public payments, automated supply settlement, long-running capacity trends, and the complete quality matrix remain Beta scope.

SoloCore Product

SoloCore WebUI

A live enterprise AI workspace for multiple models, files, knowledge bases, and assistants.

Enterprise permissions, proprietary workflows, and business data integrations are scoped per organization.

Adapt this operating path to your business rules.

First confirm roles, current systems, data entry points, and the first outcome; then decide what to reuse, integrate, and customize.

Start from this reference build