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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34 solutions · page 1 of 3
aws-bedrock-code-sandbox-for-smb-financial-report-generation
SMB bookkeepers spend hours pulling data from spreadsheets and writing formulas to produce monthly financial reports. Non-technical staff can't run quick what-if analyses without risking spreadsheet errors.Let your team ask natural-language questions about financial data and get accurate, formatted reports generated safely in isolated code environments.
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.
azure-ai-multi-agent-handoff-for-linear-issue-triage
Engineering teams waste time manually categorizing and assigning bugs, resulting in slow triage and mishandled critical issues.Automatically triage incoming Linear issues by routing them to specialized AI agents, escalating only complex cases to human engineers.
anthropic-rag-pipeline-for-sharepoint-knowledge-search
Employees waste hours digging through scattered SharePoint documents, struggling with keyword search that misses relevant context and leaves questions unanswered.Enable SMB teams to find answers across SharePoint document libraries using a hybrid RAG system with human escalation.
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.
perplexity-knowledge-agent-for-notion-smb-faq
Small businesses store institutional knowledge in Notion but struggle to find answers quickly across scattered pages, leading to repetitive questions and lost productivity.A conversational AI that answers employee and customer questions by searching Notion workspaces, using Perplexity's search and REAA's hybrid RAG for context-rich, cited responses.
cohere-lead-intake-agent-for-hubspot-smb-sales
SMB sales teams spend hours manually entering leads from various channels, leading to data entry errors, slow follow-up, and missed opportunities.An AI intake system that processes documents, emails, and chat messages to capture leads and auto-populate HubSpot CRM with accurate, categorized data.
google-gemini-mcp-server-for-smb-business-intelligence
Small business teams waste hours switching between apps to find sales metrics, invoices, and calendar events. They need a single natural language interface that understands their data across tools without building complex integrations.A turnkey MCP server that lets SMB teams use natural language to query their business data from HubSpot, Stripe, and Google Workspace via a secure Gemini-powered interface.
cohere-code-sandbox-for-smb-data-workflows
SMB teams need to run ad-hoc Python and SQL queries on business data but lack safe sandboxed environments and fear runaway AI costs.Secure, budget-controlled code execution environment for SMB analysts, powered by Cohere’s language models.
openai-multi-agent-handoff-for-e-commerce-order-tracking
Small e‑commerce owners lose hours per day manually checking WMS, carrier portals, and return logs for every customer call. Agents frequently restart the conversation from scratch, frustrating buyers and delaying resolutions.Automate order‑status, shipping, and returns inquiries by routing customers among specialized AI agents without losing conversation context.
perplexity-market-research-document-pipeline-for-smbs
Small businesses drown in market reports, PDFs, and industry analyses but lack a way to turn them into actionable insights quickly. Manually sifting through hundreds of pages is slow and often misses critical connections across internal and external data.Transform scattered market reports into a searchable research assistant powered by your documents and live market data.
anthropic-rag-knowledge-base-for-construction-project-specs
Construction SMBs store technical specs in scattered PDFs and drive‑by memory, forcing builders to pause work and call the office. A simple RAG system would give them hands‑free answers, but off‑the‑shelf tools return shallow results from dense technical documents.Let field crews instantly query building specifications, codes, and submittals via a Claude‑powered retrieval pipeline backed by hybrid search.