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Construct Computer

Construct Computer: AI employees that work like hires

Pricing
Paid
Lite, Starter, Pro, Enterprise

About Construct Computer

Construct Computer provides AI agents for startups and small teams, each set up with its own role, tools and way of working. Every agent has a persistent cloud workspace with files, memory, schedules, workflows, email and connected apps, so work can continue while the user does something else. It is not Construct 3, the game engine, or The Construct, the robotics school.

A user assigns an outcome and Construct decides which available tools are needed to research, create artifacts, update business systems, and delegate bounded subtasks to temporary agents. Agent chat state runs in per-agent Durable Objects, memory runs in a user-owned MemorySpace, and personal or team workspaces receive scoped file and sandbox resources. Users can inspect outputs, interrupt a running turn, and correct what the agent remembers.

Agents can encode a repeatable process into a versioned, schedulable workflow, build an internal tool from a description and publish it to the cloud desktop, and schedule a single prompt, connected-app action, or full workflow to run once or repeatedly. Construct can research a topic, gather sources, and turn questions into cited reports, and users can message it from the web, Slack, Telegram, Discord, or its native email inbox.

Plans start at Lite for $7.50/month with up to 2 agents, 3 scheduled tasks and 100 MB of cloud storage; Starter is $39/month with up to 5 agents and 10 scheduled tasks; Pro is $199/month with a 7-day trial, up to 15 agents, 50 scheduled tasks and the option to bring your own model keys. Construct connects to over 200 integrations including Gmail, Slack, GitHub and Notion.

Use cases

  • Research and cited reports
  • Automating recurring scheduled tasks
  • Building an internal app for the team
  • Collaborating across a shared team workspace

Key features

  • Turns a repeatable process into a versioned, schedulable workflow
  • Builds and publishes internal tools from a description
  • Schedules a prompt, action or workflow to run once or repeatedly
  • Shared team workspace with roles and access controls
  • Inspectable, correctable agent memory
  • Produces cited research on any topic
  • Works across web, Slack, Telegram, Discord and native email
  • Connects to 200+ integrations

Pros and cons

Pros

Workspace data is not used as training data
Finished work is saved step by step so a failed run does not restart from zero

Cons

Lite plan is capped at 2 agents and 3 scheduled tasks
Public registry submissions for custom extensions are not yet active

Pricing

Lite
$7.50
month
  • Base model usage
  • Up to 2 agents, including Construct
  • 3 scheduled tasks
  • Agent email address
  • 5 min command runtime
  • 100 MB cloud storage
Starter
$39
month
  • 6x the usage of Lite
  • Up to 5 agents, including Construct
  • 10 scheduled tasks
  • 1 GB cloud storage
Pro
$199
month
  • 32x the usage of Lite
  • Up to 15 agents, including Construct
  • 50 scheduled tasks
  • 3 GB cloud storage
  • Bring your own keys (BYOK)
Enterprise
Custom
  • Includes everything in Pro
  • SSO, private deployment, and custom MCP

Reviews

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Frequently asked questions

How is Construct different from ChatGPT or Claude?
Construct is built for work that outlives a chat thread: it keeps a persistent workspace with files, memory and schedules, runs jobs on its own, and records each action so it can be reviewed afterward.
What work can it actually complete?
Research and cited reports, analysis of files in the workspace, reading and sending native email, updating connected apps, running scripts, building internal tools, and delegating bounded subtasks to temporary agents.
Which apps can it connect to?
Supported applications from its live integration catalog, including Gmail, Google Calendar, Notion, Linear, Jira, GitHub, HubSpot and Airtable, plus custom MCP tools.
Do you train on my data?
No; the user owns the files, memories and apps their agent produces, and the license granted to Construct only covers running the service for them.
What happens when a job fails partway through?
Finished work stays in the workspace as it is produced, so a run that fails partway keeps the steps already completed and the next run picks up from there.

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