Medley vs TryCase: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Medley and TryCase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Medley

Free

Claude Code plugin that decomposes prompts into coordinated multi-agent plans and visualizes the plan at a shareable URL.

Slash-Command Integration: Activates directly inside Claude Code via the /mission command to produce a plan without leaving the chat interface.
Prompt Decomposition: Breaks a single user prompt into discrete subtasks with clear dependencies to turn vague requests into actionable steps.
Multi-Agent Coordination: Generates a coordinated plan that assigns roles or agent responsibilities and sequences work across multiple agents to tackle complex tasks.
Plan Visualization URL: Renders the produced plan structure at a shareable URL so users can inspect, review, and share the full task graph and execution plan.
Task Assignment & Sequencing: Determines ordering and handoffs between subtasks so parallel and dependent work is organized for execution by different agents.
Shareable Workflow Export: Enables distribution of the decomposed plan via link for collaboration, review, or external execution tracking.
Decomposes a single prompt into a coordinated multi-agent plan
Invoked within Claude Code via the /mission command
Generates a structured plan view accessible at a shareable URL
Orchestrates multiple agents/subtasks rather than relying on a single model
Focus on readable plan structure for inspection and collaboration

Complex Project Breakdown: Converting a high-level product or research brief into a multi-step plan with assigned agent roles and dependencies for coordinated execution.
Multi-step Code Development: Decomposing a feature request into design, implementation, testing, and deployment tasks that can be executed or reviewed by specialized agents.
Data Analysis Pipelines: Breaking down an analysis prompt into data-cleaning, transformation, modeling, and visualization subtasks that are assigned and sequenced.
Content Creation Workflows: Orchestrating ideation, drafting, editing, fact-checking, and formatting steps across different agents to produce polished content.
Collaborative Review & Handoff: Sharing the generated plan URL with teammates or stakeholders to review responsibilities, timelines, and handoffs before execution.
Experiment Orchestration: Designing and coordinating multi-step experiments or research tasks where different agents perform measurements, aggregation, and interpretation.
Breaking complex prompts into executable subtasks for multi-agent workflows
Orchestrating LLM agents to collaborate on a single objective
Sharing and reviewing decomposition and task assignments via a URL
Improving reliability and coverage by distributing work across multiple agents
Prompt engineering for complex, multi-step automation tasks

Paid

An AI QA agent that opens your app on every pull request and posts a verdict, captioned video and screenshot back to GitHub.

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.

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.