Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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5 solutions
google-gemini-ai-spend-control-for-smbs
SMBs adopting Google Gemini for AI face unpredictable per-token costs and risk overspending without centralized visibility or automatic guardrails.Real-time LLM cost tracking and budget enforcement for Google Gemini-powered SMB applications.
agnostic-ai-budget-control-for-smb-agent-workflows
SMBs adopting multiple AI agents across customer support, sales, and operations face unpredictable API costs. Without a provider-agnostic budget, it's easy to overspend or lock into a single vendor.Real-time spend enforcement and cost-aware routing across any LLM provider for small business AI agents.
azure-ai-document-pipeline-for-quickbooks-online-invoice-processing
SMBs waste hours manually keying invoice data into QuickBooks, risking errors, delayed payments, and poor cash-flow visibility.Automatically extract, validate, and post vendor invoice data from PDFs or images directly into QuickBooks Online using Azure OpenAI.
openrouter-agent-mesh-for-smb-workflow-automation
Small businesses struggle to adopt multi-agent AI because orchestrating different models and services reliably—without runaway costs or fragile handoffs—is beyond their in‑house engineering capacity.Coordinate multiple specialist AI agents across teams using a single low-cost routing layer with built‑in observability and spend controls.
anthropic-ai-spend-tracker-for-smb-agent-workflows
Small businesses deploying multiple AI agents on Anthropic lack visibility into per-agent spend, leading to unexpected bills and uncontrolled cost scaling as agent usage grows.Monitor and control Anthropic API costs across your AI agents with real-time dashboards and per-agent budget enforcement.