Plurai Simulation

Plurai Simulation finds your AI agent's worst bugs before real users do. Key capabilities: • Builds a digital twin of your agent's environment with a single command • Generates synthetic personas and documents for realistic test scenarios • Mocks tools, APIs, and databases your agent depends on • Runs every test in isolated sandboxes that never touch production • Traces each gap in agent behavior back to the specific line of code that causes it • Works directly inside Claude Code, OpenAI Codex, and GitHub Copilot Traditional testing often misses the edge cases that appear once real users interact with an agent. Plurai closes that gap by simulating the full world your agent operates in. Synthetic personas push the agent through realistic conversations, while synthetic documents and mocked backends reproduce the data and systems it relies on. Because everything runs in a sandbox, you can stress test aggressive or unusual scenarios without risking customer data, live integrations, or production uptime. Instead of receiving a vague failure report, you get a precise map of where the agent breaks and why. Each gap is linked to the exact line responsible, so developers can fix problems quickly and confirm the fix with another simulation run. The workflow fits into the coding tools teams already use, which means testing becomes a natural part of development rather than a separate step. Plurai is built for developers and product teams shipping agents that handle customer support, internal operations, sales, or other high-stakes tasks. Use it to validate new agent features, regression test prompt or tool changes, and prepare for launch with confidence that the agent will hold up under realistic pressure.