Aye vs Construct Computer: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Aye and Construct Computer — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Aye
Nanjing Oumi Software Development Co., Ltd.
Chromium-based AI agent that delegates repetitive browser work — video downloads, support email replies, and social ops — with human-in-the-loop approvals.
Key features
- Delegated Browser Tasks: Plans, acts, and verifies multi-step work on real websites so users can offload repetitive chores.
- Media Downloader: Saves videos and files you can access on X, Telegram, and Reddit, with progress and queue in one place.
- Inbox Assistant: Reads context of visible Gmail support messages and drafts natural English or Chinese replies.
- Social Operator: Handles replies, notifications, spam filtering, and content drafts across Reddit, X, Xiaohongshu, Zhihu, WeChat, and Tieba.
- Skills & Scheduling: Save any successful task as a Skill and run it once, at intervals, daily, or weekly.
- Human-in-the-loop Approval: Aye pauses for user confirmation at sign-in, CAPTCHA, form submission, and payment steps.
- Chromium Runtime with Adblock: Full Chromium browser with built-in ad blocking and video download helpers.
- Cross-platform Desktop App: Native builds distributed through the Mac App Store and Microsoft Store.
Best for
- Competitor research: Ask Aye to compare pricing, features, and integrations across a set of SaaS products and produce a recommendation.
- Community maintenance: Reply to comments, clear notifications, and filter spam across multiple social platforms on a daily schedule.
- Support inbox triage: Draft or send bounded English/Chinese replies to routine Gmail support tickets.
- Bulk media collection: Queue and download videos you can access on X, Telegram, and Reddit for offline use.
- Content ops: Prepare platform-native drafts for X, Xiaohongshu, Zhihu, and WeChat for review before publishing.
- Recurring browser jobs: Save any workflow as a Skill and let it run weekly without re-explaining the task.
Construct Computer
Construct
An AI employee with its own cloud Linux computer that runs workflows, builds internal tools, and finishes scheduled work for small teams.
Key features
- Dedicated Cloud Computer: Each user's agent gets a real Linux cloud desktop, so it can run software and produce files rather than only generating text.
- Reusable Workflows: Encode a process once as agent steps, connected apps, and notifications, then version, schedule, and let any teammate re-run it.
- Internal Tool Builder: Describe the tool your team needs and Construct writes, validates, and publishes a working internal app straight into your cloud desktop.
- Scheduled Jobs with History: Schedule an agent prompt, a connected-app action, or a whole workflow to run once or repeatedly, with a full record of results.
- Inspectable Memory: Preferences, decisions, and project context are stored with supporting evidence and history, and can be reviewed, corrected, or forgotten.
- Shared Team Workspace: People, agents, files, apps, and conversations live in one workspace with invitations, roles, and precise access controls.
- Multi-Channel Access: Message Construct from the web, Slack, Telegram, Discord slash commands, or its own native email inbox, with per-channel routing and access policies.
- Cited Research Reports: Gathers sources, compares details, and turns open-ended questions into cited research you can review or share.
- Resumable Long Runs: Jobs that fail partway through resume from where they stopped rather than restarting, targeting reliability on multi-step work.
- Data Ownership and BYOK: Workspaces are isolated and never used as training data, you own the output, and Pro allows bringing your own model keys.
Best for
- Process Automation: Turning a recurring manual business process into a versioned workflow anyone on the team can trigger.
- Internal Tooling: Shipping a small internal app for a team need without pulling in engineering time.
- Inbox and CRM Follow-Through: Letting an agent read, reply, and close the loop across connected tools instead of leaving half-finished automations.
- Market and Topic Research: Producing cited research reports on a subject for review or client delivery.
- Scheduled Reporting: Running a recurring report or data pull on a schedule and keeping the result history in one place.
- Solo Founder Leverage: Handing off operational work as a one-person company without hiring a first operations employee.
- Cross-Channel Team Requests: Letting teammates hand work to the agent from Slack, Discord, Telegram, or email without changing tools.