> ## Documentation Index > Fetch the complete documentation index at: https://docs.bland.ai/llms.txt > Use this file to discover all available pages before exploring further. # May 28, 2026 > Evals, Flex Mode, and the Sentinel release ### Evals Evals run LLM judges against your call history to grade quality dimensions like audio, tone, hallucinations, and resolution. Available at the [Evals page](https://app.bland.ai/dashboard/evals), see the [docs](/tutorials/evals). * Build a workbench of eval agents, each one grading a single dimension with a custom rubric and configurable evidence sources (transcript, metadata, pathway logs, citations, tool logs, and more) * Pick Transcript or Audio mode per agent depending on whether you need an LLM to read the transcript or a non-LLM pipeline to listen to the recording * Score up to 5,000 calls in a single run against a saved benchmark set, and start from a template library covering Bland Tone, Conversational Quality, Issue Understanding, and more Evals Workbench landing page with built-in eval agent templates Eval agent configuration showing mode selection and evidence sources Eval agent scoring with custom levels and run controls *** ### Flex Mode Let your agent decide where to go next based on the conversation instead of following hardcoded edges. See the [docs](https://docs.bland.ai/tutorials/flex-mode). * Toggle pathways between strict and flex execution * Group nodes on the canvas. Edges between grouped nodes become conditional and the agent picks the next step from context * Scheduling, IVR, and Orchestrator nodes stay locked to their wired edges and can't be added to a flex group