ElevenLabs Agent Workflows vs TryCase: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ElevenLabs Agent Workflows and TryCase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ElevenLabs Agent Workflows
ElevenLabs
Visual graph-based editor to design sophisticated conversational agent workflows and connect them to ElevenLabs SDKs and tools.
Key features
- Visual Graph Editor: A node-based, visual interface for composing conversation flows, branching logic, and state transitions to design complex dialogues without hand-authoring code.
- SDK Integration: Native integration paths with ElevenLabs Agents SDKs (TypeScript/Swift) so visual workflows can be executed inside web, mobile, and backend applications via provided libraries and hooks.
- Tool Call Orchestration: Built-in support for invoking external tools and handling tool-call lifecycles, including programmatic approvals and responses to continue conversation flows.
- Multimodal Support: Works with audio-capable agents — manages agent audio formats and user audio, enabling voice input/output as part of workflow execution.
- Public and Private Agent Modes: Supports public agents and private agents using conversation tokens for authenticated sessions and secure deployments.
- UI Component Library Compatibility: Designed to work with ElevenLabs UI components and example apps (React, React Native, etc.) to accelerate embedding workflows into frontends.
- Session & Conversation Management: Enables starting/maintaining conversation sessions via SDK methods (e.g., useConversation/startSession) and tracks conversation IDs and context across nodes.
- Visual graph-based workflow editor for designing conversation flows
- Integration with ElevenLabs Agents SDKs (TypeScript/JavaScript and Swift)
- React integration with hooks (e.g., useConversation) to start sessions and manage conversations
- Authentication options for public and private agents, including conversation tokens
- Support for multimodal audio formats and agent audio configuration
- Tool call handling and approval workflows (MCP tool flows)
- Official UI component library to accelerate agent frontends
- Example repositories and starter packages for React, React Native (Expo), and Node
Best for
- Designing conversational IVR or voice assistant flows visually, then deploying them into mobile or web apps without hand-coding the dialogue state machine.
- Building customer-support agents that call external tools (databases, CRMs, search) from within workflow nodes and return tool results into the conversation.
- Prototyping multimodal experiences (voice + text) using ElevenLabs SDKs and UI components to iterate rapidly on dialogue structure and audio behavior.
- Embedding interactive NPC or character dialogue systems in games or simulations that require branching logic, tool integrations, and voice output.
- Creating secure private agents for internal tools by issuing conversation tokens and running workflows that access protected APIs and services.
- Integrating TTS/dubbing workflows where agent audio formats and session orchestration are managed as part of the conversation graph.
- Designing branching conversational experiences and chatbots using visual workflows
- Embedding multimodal voice agents into web and mobile apps via SDKs
- Building custom agent frontends using the ElevenLabs UI component library
- Implementing secure private-agent conversations with conversation tokens
- Handling external tool integrations and approvals within agent conversations
TryCase
TryCase
An AI QA agent that opens your app on every pull request and posts a verdict, captioned video and screenshot back to GitHub.
Key features
- PR-Triggered Runs: Connecting a repository is enough - every pull request marked ready for review starts a test run with no pipeline config.
- Journey Selection From Diff: TryCase reads the changed code and chooses which user flows are actually affected rather than replaying a whole suite.
- Disposable Linux Environments: Each run gets a fresh environment with terminal and browser control, so state from earlier runs never leaks in.
- Video and Screenshot Evidence: Results arrive as a captioned recording plus a screenshot commented on the PR, showing exactly what the app did.
- Bring Your Own AI: Connect Codex through an existing ChatGPT subscription or supply an OpenRouter key and pay your provider directly for inference.
- Agent Skills: Packaged skills teach Claude, Codex, Cursor and other compatible agents to drive TryCase environments without manual setup.
- Parallel Workers: Up to twelve workers per bot run journeys concurrently, with testing time tracked separately for setup, the primary bot and each worker.
- Usage-Based Hour Pools: Monthly plans grant a shared pool of end-to-end testing hours across setup, PRs and retries, with no automatic overage charges.
Best for
- Pre-Merge Verification: Confirm a checkout or signup flow still works before approving a pull request, without pulling the branch locally.
- Visual Regression Review: Catch layout and rendering breakage that unit tests pass over by watching the recorded walkthrough.
- Agent-Written Code Review: Require an AI coding agent to return screenshots and recordings proving its change runs, not just a diff.
- Suite-Free E2E Coverage: Give a small team end-to-end coverage without staffing the maintenance of a Playwright or Cypress suite.
- Demo Clips From Branches: Reuse the captioned videos as short product demos of a feature still sitting on a branch.
- Release Triage: Scan verdicts across several open PRs to decide which changes are safe to batch into a release.