Construct Computer provides an AI-driven workspace designed for founders and small teams to automate processes, build internal tools, and manage collaborative workflows.
What the product does and how it is positioned
Construct Computer functions as an AI employee platform that enables teams to encode complex processes into repeatable workflows. By connecting applications and scheduling tasks, the system aims to reduce manual effort in managing business operations.
The platform emphasizes transparency and control, offering an inspectable memory system and isolated workspaces. Users can generate internal tools, conduct cited research, and collaborate across multiple communication channels.
Source-supported ways to use the product
Teams can describe required tools, which the platform then writes, validates, and publishes as functional internal applications.
The system gathers information from various sources and synthesizes it into cited reports to assist with complex inquiries.
The platform allows users to transform manual processes into automated workflows by encoding specific agent steps, integrating necessary applications, and setting notifications. These workflows can be versioned and scheduled for recurring execution.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Construct is designed as an AI employee platform that focuses on executing multi-step workflows, building internal tools, and maintaining persistent, inspectable memory for teams, rather than acting solely as a conversational interface.
The platform can perform tasks such as researching topics with citations, executing scheduled agent prompts, managing connected app actions, and developing internal software tools based on user descriptions.
Construct supports connections to various applications as part of its workflow automation capabilities, allowing agents to interact with external tools to finish tasks and manage processes.
Yes, the platform provides an automation history for viewing past actions and an inspectable memory system where users can review, correct, or remove the information the agent has learned.
No, the platform explicitly states that your workspace is not used as training data, and users retain full ownership of everything their agents produce.
