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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47 solutions · page 1 of 4
openai-voice-agent-for-square-online-order-status-inquiries
Small online stores using Square Online lose sales when customers can't get quick order updates and end up calling the owner's personal phone repeatedly.Let customers call and check their Square Online order status with a conversational AI that looks up real-time order data.
mistral-ai-lead-intake-for-activecampaign-smb-lead-scoring
SMBs using ActiveCampaign manually sort incoming leads, missing high-intent prospects and wasting time on unqualified contacts.Automatically qualify and score leads from web forms, chat, or email using Mistral AI and push prioritized contacts to ActiveCampaign.
vertex-ai-agent-mesh-for-smb-multi-channel-marketing
Small marketing teams spend days bouncing between copy drafting, compliance checks, and channel posting. Without orchestration, brand voice slips and publishing deadlines get missed because no one agent owns the full workflow.Coordinate a mesh of AI agents that draft, review, and publish marketing content across channels — gated by automated confidence scores.
openai-lead-intake-with-intent-routing-for-smbs
SMBs using live chat or contact forms receive a flood of unqualified inquiries. Sales teams waste time on generic questions and miss real buying signals, while no follow-up history persists across sessions.Chat-based lead intake that classifies buyer intent and routes qualified conversations to the right sales agent, with full session history.
vllm-observability-suite-for-smb-ai-operations
Small businesses running vLLM for AI inference struggle to monitor token usage, latency, and cost across multiple agents, leading to overspend and undetected performance regressions.Prebuilt observability stack with OpenTelemetry traces and dashboards for any AI agent using vLLM as the inference backend.
ollama-ai-observability-with-cost-allocation-for-smbs
On-prem LLM deployments lack visibility: IT teams can't tell which departments are consuming tokens, how much each call costs in terms of compute or proxy fees, or where bottlenecks occur. Without observability, they can't optimize or perform internal chargebacks.Gain OpenTelemetry tracing and per-department cost attribution for your Ollama LLM deployments running on-prem or at the edge.
openai-1099-collection-agent
A CPA firm owner dreads January each year because they must manually classify every contractor as 1099-NEC or non-reportable, chase down missing W-9s via email, and prepare filings. With dozens of clients and hundreds of contractors, the process is error-prone and stressful. The owner needs an automated system that classifies contractors based on payment data, sends polite W-9 requests, and tracks completion to ensure timely filing.Automate contractor classification, W-9 requests, and 1099-NEC generation to end the annual scramble.
perplexity-security-guardrails-for-quickbooks-online-invoice-processing
SMBs are eager to use AI to categorise invoices, detect duplicates, and flag anomalies from QuickBooks Online, but fear leaking sensitive vendor and customer PII or having the model hallucinate unauthorised posting actions.Wrap every Perplexity‑powered invoice classification with PII redaction, financial policy enforcement, and full audit trails — so SMBs safely automate QuickBooks Online workflows.
databricks-lead-intake-agent-for-smb-financial-advisors
Independent financial advisors lose 40% of web inquiries due to slow response. Manual sorting of tire-kickers vs. serious prospects wastes billable hours, and no-shows plague calendared consultations.Qualify, score, and route prospective client inquiries from web forms, email, or chat, automatically scheduling follow-up calls for high-value leads.
ollama-agent-eval-harness-for-on-prem-smb-support-qa
SMBs running on-prem LLMs with Ollama lack automated QA to catch regressions in agent performance before customers encounter errors, leading to support drift and quality degradation.Run continuous quality evaluation on local AI agents using Ollama, with regression gating and cost tracking, all from a CLI.
databricks-llm-observability-for-smb-production-ai
Small businesses deploying Databricks-hosted LLMs lack visibility into latency, token usage, and spend across their applications, making it hard to debug slowdowns or control costs.Drop-in OpenTelemetry tracing and cost attribution for every Databricks model call, visualized in Langfuse, so small teams can monitor LLM performance without building custom instrumentation.
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.