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
mistral-ai-code-sandbox-with-approval-gates-for-smb-data-teams
Small businesses want to let non-engineers use natural language to run data analyses, but fear untrusted code execution, runaway costs, and compliance risks. No off-the-shelf tool offers human-in-the-loop gating with fine-grained spend controls.Let business analysts run analytical Python scripts generated by an LLM, with mandatory human approval before execution and full audit trails.
openrouter-code-sandbox-for-smb-financial-modeling
Small business analysts need to run what‑if financial scenarios but lack coding skills or safe execution environments. Manual spreadsheets are error‑prone, and exposing LLM‑generated code to a live environment risks data loss or cost overruns.A secure, budget‑aware AI code sandbox that lets non‑technical SMB analysts run Python financial models and get repaired, validated results without writing code.
google-gemini-reliability-suite-for-smb-ai-operations
SMBs relying on AI agents experience frequent tool failures, duplicate operations, unhandled errors, and uncontrolled costs, which erode trust and delay critical processes.Resilient Gemini-powered agents with built-in circuit breakers, idempotency, incident runbooks, and budget controls for SMBs.