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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13 solutions · page 1 of 2
openrouter-budget-guardrails-for-bigcommerce-smb-customer-support
BigCommerce merchants running AI-powered customer support chatbots face unpredictable LLM costs, risking budget overruns. Without real-time spend governance, a traffic spike can lead to surprise bills.A cost-control layer that enforces budget limits, routes to cheaper models when needed, and tracks spending for BigCommerce support chatbots.
xai-grok-agent-mesh-for-small-business-customer-support
Small business support teams are overwhelmed by repetitive Tier‑1 questions across email and chat, leading to slow response times and high agent turnover. Simple keyword filters can’t handle ambiguous requests like “I have a problem with my bill and my service is down.”A mesh of AI agents handles billing, tech support, and account inquiries — routing each customer message to the right specialist using the Grok model.
aws-bedrock-rag-eval-harness-for-smb-customer-support-bots
SMB support teams rely on RAG chatbots to handle customer questions, but hallucinations or irrelevant answers slip through unnoticed, damaging trust. They have no systematic way to continuously measure answer quality and catch regressions before customers do.Automatically score RAG answer quality, track evaluation costs, and block deployments when your AI support bot’s accuracy dips.
azure-ai-agent-eval-harness-for-smb-support-qa
Small businesses deploying Azure AI chatbots for customer support struggle with maintaining consistent answer quality as prompts, models, and knowledge bases change. Manual testing is time-consuming and unreliable, leading to wrong answers, inappropriate tool calls, and surprise cost overruns.Automated quality gates for Azure AI-powered support agents, catching regressions in tool use, answer quality, and cost before they reach customers.
openai-agent-eval-harness-for-smb-customer-support-quality
SMB customer support agents powered by OpenAI often drift in tone, hallucinate product details, or miss steps, but manual spot-checking doesn't scale as ticket volume grows.Automatically evaluate every production AI support interaction to catch bad answers, hallucination, and policy violations before they affect customers.
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.
cohere-agent-mesh-for-multi-channel-customer-support-triage
SMB support teams juggle inquiries from multiple channels—email, live chat, and social media—often with manual routing to specialists. They need an automated system that intelligently classifies and routes each request to the right agent, avoiding misrouting and high operational costs.Orchestrate multiple Cohere-powered specialist agents to triage customer support tickets across email, chat, and social media with confidence-based routing and cost tracking.
anthropic-persistent-customer-memory-across-support-sessions
Your customer-support agent treats every conversation as new — customers re-explain their account setup every time, the agent forgets what was tried in the last session, and there's no learning across interactions. You need durable per-customer memory: prior tickets, preferences, open issues, and free-form notes the agent can write back, all bounded by a token budget so context windows stay clean.Your support agent remembers the last conversation, the open ticket, and the customer's preferences.
xai-grok-cost-control-for-smb-customer-support-agents
SMBs deploying AI customer support agents often face unpredictable monthly bills as chat volume spikes, with no built-in controls to limit spending per customer or automatically switch to cheaper models when budgets are exhausted.Prevent runaway AI spending by enforcing per-tenant daily budgets and fallback routing for xAI Grok-powered support agents.
mistral-ai-agent-reliability-suite-for-smb-customer-support
SMBs running AI customer support agents experience cascading failures when one downstream API (like order lookup, return portal) becomes slow or unavailable, leading to lost customer interactions and manual intervention.Keep your Mistral‑powered customer support agents resilient to tool failures with automatic circuit breaking, retries, and incident playbooks.
azure-ai-multi-agent-handoff-for-e-commerce-customer-support
E‑commerce SMBs field support queries that span order tracking, returns, product recommendations, and tech support. A single monolithic chatbot can't handle the breadth, and human agents are overwhelmed during sales spikes.A routing mesh that classifies customer intents and hands off conversations between specialist AI agents — all hosted on Azure AI, so SMB e‑commerce teams can scale support without hiring.
multi-agent-handoff-mesh-for-small-business-customer-support
Small businesses often deploy separate AI chatbots for sales, support, and booking, leading to fragmented interactions, lost context, and unpredictable LLM costs when agents overlap.Coordinate multiple AI agents with seamless context handoff, budget tracking, and intent routing for a unified customer experience.