MailToDock vs Worktrunk: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of MailToDock and Worktrunk — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
MailToDock
MailToDock
One-click conversion of Gmail emails into Google Tasks using AI to create manageable tasks from your inbox.
Key features
- One-Click Task Creation: Converts a selected Gmail email into a Google Task with a single click to reduce friction when capturing work from your inbox.
- AI-Powered Extraction: Uses AI to identify actionable items and relevant content from email text to populate the task title and details.
- Direct Google Tasks Integration: Creates tasks directly in the user's Google Tasks account so items are tracked alongside existing task lists.
- Inbox-Centric Workflow: Keeps task creation and management inside Gmail, minimizing context switching between apps and improving productivity.
- Quick Capture for Follow-Ups: Enables rapid conversion of emails that require follow-up into manageable tasks for better tracking and completion.
- Convert Gmail emails into Google Tasks with one click
- AI-powered parsing of email content to generate task title and description
- Populate task details (task content, context) automatically from email
- Direct integration between Gmail and Google Tasks
- In-inbox workflow to create tasks without switching apps
- Creates tasks that reference the original email for context
Best for
- Turning actionable emails into tracked tasks so follow-ups and to-dos are not lost in the inbox.
- Rapidly capturing meeting-related action items from email threads into Google Tasks for scheduling and completion.
- Managing client or customer requests by converting request emails into tasks assigned to a personal task list.
- Organizing operational or project-related emails into task lists to maintain a clear workflow and status tracking.
- Clearing inbox clutter by converting emails that require action into tasks and keeping the inbox for new messages.
- Capture actionable items from emails into Google Tasks for personal productivity
- Convert client requests and follow-ups into tasks to track deadlines
- Organize inbox by turning emails into a task-oriented to-do list
- Quickly create tasks from meeting notes, requests, or instructions received by email
Worktrunk
max-sixty
A Rust CLI that makes git worktrees as easy as branches, built for running several AI coding agents in parallel without collisions.
Key features
- Branch-Addressed Worktrees: wt switch, wt remove, and wt list refer to worktrees by branch name with paths computed from a configurable template, replacing multi-step git worktree incantations.
- Agent Launch in One Command: wt switch -c -x claude <branch> creates the worktree, enters it, and starts the agent in a single invocation.
- Lifecycle Hooks: Run commands automatically on create, pre-merge, and post-merge to automate setup and teardown for every new worktree.
- LLM Commit Messages: Generates commit messages from the diff so parallel agent branches stay legible without hand-writing every message.
- One-Command Merge Workflow: Squash, rebase, merge, and clean up the worktree and branch in a single step rather than a sequence of git commands.
- Interactive Picker: Browse worktrees with streaming CI status alongside diff, log, PR, and comment previews before switching.
- Shared Build Caches: wt step copy-ignored gives ten worktrees their own target/ and node_modules/ without rebuilding or copying, using reflinks on APFS, btrfs, and XFS.
- Per-Worktree Dev Servers: A hash-port template filter assigns each worktree a unique port so parallel dev servers do not conflict.
Best for
- Parallel Agent Runs: Give each of five to ten concurrently running AI coding agents its own worktree so their edits never collide.
- Fast Branch Context Switching: Jump between in-flight changes by branch name instead of navigating sibling directories by path.
- Pull Request Review: wt switch pr:123 checks out a pull request's branch directly for local inspection or testing.
- Monorepo Iteration: Share heavy build artifacts across many worktrees so each new branch is usable immediately instead of after a full rebuild.
- Automated Branch Setup: Use create hooks to install dependencies, copy env files, or start services whenever a worktree is made.
- Multi-Branch Status Review: wt list --full shows CI status and AI-generated summaries for every active branch in one view.