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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11 solutions
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.
perplexity-rag-eval-suite-for-smb-knowledge-bases
SMBs that deploy internal RAG bots for employee or customer support find their answers drift as documents change. Without automated evaluation, they only discover quality regressions through user complaints, with no reproducible benchmark and no way to track LLM judging costs.Continuously evaluate your small business RAG knowledge base using Perplexity’s LLM-as-judge, heuristic metrics, and cost-tracked CI gates from REAA’s eval packs.
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.
google-gemini-runbook-automation-for-pagerduty-smb-incidents
Small DevOps teams using PagerDuty often have few written runbooks because writing and maintaining them is time‑consuming. When a critical incident hits, responders waste precious minutes guessing recovery steps instead of following a documented plan.Generate up‑to‑date incident runbooks for every PagerDuty‑monitored service so your small team always knows how to respond during an outage.
agnostic-deposition-prep-summarizer
A paralegal at a small plaintiff litigation firm spends countless hours reading through deposition transcripts to extract key facts, contradictions, and important testimony for trial prep. This manual summarization is not billable and often delays case strategy meetings. The paralegal feels overwhelmed by the volume of transcripts and fears missing critical details. They need a tool that can automatically generate accurate, organized summaries with citations to the original transcript.Turn hours of deposition transcripts into concise summaries in minutes, saving paralegal time.
agnostic-secret-rotation-sidecar
A 8-person dev tools startup uses multiple LLM providers (OpenAI, Anthropic) and stores API keys in environment variables. Their security policy requires key rotation every 90 days, but manual rotation causes outages when keys are changed without updating all services. They need an automated rotation system that updates keys across all agents and services without downtime, with audit logging for compliance.Rotate LLM provider secrets automatically without breaking running agents, for compliance and security.
cohere-ai-spend-control-for-budget-conscious-smbs
Small businesses deploying AI agents often see unpredictable monthly bills because every customer interaction triggers expensive model calls. They need a way to cap spending, pick the right model for each query, and audit costs without hiring an MLOps engineer.Enforce daily AI spend limits, automatically downgrade to cheaper Cohere models, and get real-time cost dashboards without modifying existing agent code.
perplexity-agent-eval-harness-for-smb-ai-quality-assurance
Small businesses deploying AI chat or email agents struggle to know when an update breaks quality—manual testing doesn't scale, and proprietary LLM judges are expensive to use at volume.Run continuous, automated evaluations of your customer‑facing AI agents using Perplexity as a neutral LLM judge, with version‑gated prompt promotions.
xai-grok-reliability-suite-for-smb-ai-operations
SMBs running AI-driven customer support or automation can't afford dedicated Site Reliability Engineers. Agent failures, broken tool calls, and unexpected behaviors disrupt business without automated recovery.Proactively monitor, diagnose, and self-heal your AI agent operations with an automated reliability suite powered by xAI Grok.
vllm-agent-eval-harness-for-fine-tuned-model-quality
SMBs that fine-tune open models locally lack a structured way to verify model quality before production, exposing them to regressions and failed customer interactions.Automated CI/CD-quality evaluations for locally-hosted fine-tuned LLMs using vLLM with LLM-as-judge and cost tracking.
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.