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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3 solutions
vercel-ai-gateway-agent-eval-harness-for-smb-support-bots
Small businesses deploying AI support bots lack a systematic way to catch regressions before they reach customers. Ad‑hoc manual testing and single‑metric checks miss subtle degradations in answer quality, tool‑use accuracy, and cost creep.An automated regression testing pipeline that evaluates SMB support agents against golden datasets, using Vercel AI Gateway as the LLM backbone and exporting observability to Langfuse.
xai-grok-agent-eval-harness-for-smb-support-qa
Small businesses using xAI Grok for customer support agents have no automated way to verify response quality across prompt changes, model updates, or conversation scenarios. Manual spot-checks miss regressions, leading to incorrect answers, safety issues, and lost trust.Continuously evaluate your xAI Grok-powered customer support agents to catch regressions before they affect customers.
langchain-agent-eval-harness-for-small-business-reliability
SMBs deploying AI agents have no way to systematically test if updates or new prompts break business-critical tasks, leading to customer-facing errors and trust erosion.Continuous evaluation of your AI agents using LangChain and REAA's eval harness suite to ensure reliable business outcomes.