Cockpilot vs Done

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Cockpilot compared with Done
Detail	Cockpilot	Done
What it does	Agency tasks, projects and KPIs driven by voice and MCP	AI to-do list app that assigns tasks to Claude, ChatGPT or any MCP agent to complete
Stage	Startup	Not given
Founded	Not given	Not given
Based in	FR	US
Pricing model	Freemium	Freemium
Pricing	Solo for life: $29 (one-time, launch offer then $49, tax included, includes $1 of assistant credits). Team: $23/month billed yearly (up to 10 people, $276/year, includes $24 assistant credits/year, 7-day free trial). Agency: $63/month billed yearly (up to 30 people then $2 per additional person, $75	Free: $0, includes 100 AI agent (MCP) calls per month and 2 workspaces. Pro: $5/month, billed monthly, includes unlimited AI agent calls, scheduled agent routines, connected apps and unlimited workspaces. Teams: $20/month, billed monthly, adds teammates and shared workspaces.
Key features	Board with task status columns (To do, in progress, waiting, done) Project management with progress and risk tracking Contact management with follow-up dates KPI tracking by week, month, quarter or year MCP integration with 40 tools for Claude and other clients REST API and signed webhooks Data export as JSON Multi-platform: web, Windows, Linux, Android, iOS, macOS Two-factor authentication with passkeys and security keys	Assign tasks to AI agents including Claude, ChatGPT, or any MCP-compatible model Human approval required before agent work is marked done Auto-decompose tasks into subtasks Recurring and dependent tasks Daily digest and weekly review MCP endpoint for secure AI agent connection Calendar view and Google Calendar sync Integration with work apps like Slack, Google Drive, and Fireflies Works on web, iPhone, iPad and Android
What makes it different	One price per team, not per seat Bring your own Claude subscription to avoid credit charges	AI agents work from your shared task list with full visibility into what's assigned to whom Requires your approval before any agent-completed work is marked done MCP-native architecture allows any MCP-compatible AI assistant to connect securely Plain language task capture that automatically parses dates, priorities and time estimates Agents show their work with timestamps, files and reasoning before completion
Community votes	0	0
DR (Domain Rating by Ahrefs)	4 +2 (up) since last check	3 no change since last check
Trust Flow (Majestic)	0	5
Citation Flow (Majestic)	0	26
Referring domains (Majestic)	0	11

6 details filled in for both companies.

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