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.
Filtering by
5 solutions
databricks-ai-spend-control-for-budget-conscious-smbs
SMBs deploying Databricks-powered AI agents face unpredictable LLM costs that can spiral, especially when agents handle fluctuating request volumes. Without automated spend controls, they risk overspending or service disruption.Enforce per-agent LLM budgets and automatically downgrade models when costs exceed thresholds to keep SMB AI operations within budget.
openai-cost-control-for-servicetitan-small-business-agent-spend
SMBs deploying AI-driven scheduling and dispatch agents on ServiceTitan risk runaway costs if one tenant floods the system with requests; without per-tenant budgets, a single bad day can exceed the entire month's budget.Cap and monitor OpenAI tokens per ServiceTitan tenant so field-service AI automation never blows the monthly budget.
vllm-ai-spend-control-for-smb-agent-workflows
Small businesses running agents on self‑hosted vLLM struggle to see aggregated LLM spend per customer, team, or use case. Without built‑in budgeting, a runaway prompt or misconfigured agent can balloon compute costs before anyone notices.Track, cap, and forecast LLM costs across all your agents powered by self‑hosted vLLM models, without slowing down responses.
mistral-ai-multi-agent-handoff-for-linear-support-triage
SMB support teams lose context when transferring issues between agents, leading to repeated troubleshooting and delayed resolutions—especially when using Linear as their issue tracker.Route, hand off, and escalate customer support issues in Linear with a Mistral-powered multi-agent system that preserves context across specialist agents.
anthropic-code-sandbox-for-smb-data-analysis
Small businesses collect sales, inventory, and customer data but can't afford a data analyst. They need a way to ask business questions in plain language and receive trustworthy, actionable answers without risking runaway cloud costs or data breaches.Turn plain-English questions into safe, budget-controlled data analyses in a secure sandbox.