Construct Computer is live · pricing from $9/mo · last verified 30 Oct 2026 · viability healthy
Construct Computer
Construct Computer puts an AI employee on a cloud Linux desktop to run scheduled agent workflows
Construct is unusual in that it publishes the limits — 5-minute command runtime, storage quotas, scheduled-task counts — instead of hiding them behind a demo call. That honesty is worth something, but it also tells you where the ceiling sits: Lite's 3 scheduled tasks and 100 MB of storage make it a trial tier, not a workplace. Most buyers who stick will end up on Starter or the $39/mo three-person bundle.
Verdict generatedVerified 1h ago · liveness 74/100 · cite: rightaichoice.com/tools/construct-computer
- Solo founders who want recurring research, email triage and reporting handled without hiring
- Small teams replacing half-finished Zapier automations with versioned, schedulable agent workflows
- Ops-minded people who need long multi-step jobs to keep completed steps and resume after failure
- Teams that want to describe an internal tool and have a working app published into their desktop
- Long-running scripts or heavy scrapes — every tier, Pro included, caps command runtime at 5 minutes
- Document-heavy teams: cloud storage tops out at 3 GB on the $299 Pro plan
- Simple app-to-app triggers that Zapier or Make handles more cheaply
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Skip Construct if your work is short app-to-app data passing that a trigger-action tool already handles, or if you need your longest jobs to run on a $9 tier.
Lite's 50-step ceiling and 5-minute command runtime mean anything substantial gets cut off mid-run, so the real entry point for recurring work is Starter at $59/mo month-to-month.
Cheaper than Lindy, which starts at $29.99 per user, and far cheaper than running ChatGPT Dots, which the vendor says needs a $100-$200 ChatGPT Pro plan. Lite at $9/mo month-to-month ($7.50/mo billed annually) fits a solo founder testing one recurring job; Starter at $59/mo ($39/mo billed annually) fits a small team running several schedules; Pro at $299/mo ($199/mo billed annually) is where deep runs up to 1,000 steps live.
In short
Construct Computer — Construct Computer puts an AI employee on a cloud Linux desktop to run scheduled agent workflows. Best for Solo founders who want recurring research, email triage and reporting handled without hiring, Small teams replacing half-finished Zapier automations with versioned, schedulable agent workflows, Ops-minded people who need long multi-step jobs to keep completed steps and resume after failure. Plans from $9/mo.
What is Construct Computer?
Construct Computer — Construct Computer puts an AI employee on a cloud Linux desktop to run scheduled agent workflows. Best for Solo founders who want recurring research, email triage and reporting handled without hiring, Small teams replacing half-finished Zapier automations with versioned, schedulable agent workflows, Ops-minded people who need long multi-step jobs to keep completed steps and resume after failure. Plans from $9/mo.
Construct Computer is a cloud-hosted AI employee built for founders and small teams who need work finished rather than drafted. Each agent operates its own Linux desktop where it opens apps, drives a browser, runs terminal commands and writes files, so a job can cross Gmail, a CRM and a spreadsheet without a human relaying state between tools. The buyer profile skews solo founder or a team of two to five — people who want leverage without the headcount line item. Work is structured as workflows. You encode a process once with agent steps, connected apps and notifications, version it, then schedule it to fire an agent prompt, a connected-app action or the whole chain. Result history is kept per run, and Activity records what the agent touched, when, and why for the last 30 days. There is also a build path: describe an internal tool your team needs and Construct writes, validates and publishes a working app into your desktop. Memory is inspectable rather than opaque — preferences, decisions and project context carry evidence and history, and you can correct, forget or delete anything the agent learned. Research comes back with sources compared and cited. You reach the agent from the web, Slack, Telegram, Discord or its own email address, with routing policies set per channel, and if a run dies at step thirty, the first twenty-nine steps survive and the next attempt continues from there. Pricing is per workspace, not per seat: Lite $9/mo, Starter $59/mo, Pro $299/mo monthly, with annual rates of $7.50, $39 and $199 and a $39/mo team-of-three bundle on Starter. Against ChatGPT or Copilot the difference is the persistent desktop plus schedulable, versioned workflows; against Lindy at $29.99 per user, Construct undercuts on entry price but caps storage at 3 GB even on Pro.
Key features
- AI employee on its own cloud Linux desktop, controlled from any device
- Encode a process once as a workflow with agent steps, connected apps and notifications
- Version workflows so a teammate can re-run the same process without rebuilding
- Schedule an agent prompt, a connected-app action, or a complete workflow
- Result history kept for every scheduled run
- Activity log recording what each agent action touched, when and why for 30 days
- Describe an internal tool and Construct writes, validates and publishes it into your desktop
- Inspectable agent memory with evidence and history for preferences and decisions
- Review, correct, forget or restore anything the agent has learned
- Cited research reports built by gathering and comparing sources
- Native agent email address with routing and access policies per channel
- Message the agent from the web, Slack, Telegram, Discord or email
- Discord agent you can mention in any channel or thread
- Resumable runs that keep completed steps and continue after a failure
- Bring your own model keys (BYOK) on Pro and Enterprise
Behind the verdict
Where Construct earns its place is recurring work that crosses tools. A weekly competitor report that pulls from the web, drops a file in Drive and emails a summary is exactly the shape of job it's built for — the schedule fires, the run leaves artifacts behind, and you read Activity afterward to see what it touched. Teams that already half-built the same thing in Zapier and abandoned it mid-flow are the natural upgrade path. The resume behaviour matters more than the marketing suggests. Long agent jobs fail, and a system that keeps step twenty-nine instead of restarting is the difference between a workflow you trust on a schedule and one you babysit. We'd treat the inspectable memory as the other real differentiator: being able to read why the agent believed something, and delete it, is what makes an always-on employee tolerable. Where it bites: the 5-minute command runtime applies to every tier, so a long scrape or a heavy script will hit the wall regardless of what you pay. Storage is thin — 3 GB on Pro is not a document repository. And Construct says itself that steps with irreversible effects, payments or customer emails, still want supervision before you let them run unattended. Pick Construct if you want a persistent desktop agent with versioned workflows, channel routing through Slack or Discord, and limits you can read before you buy. Pass if your need is simple app-to-app triggers — Zapier or Make will do it cheaper — or if SSO and private deployment must be signed before rollout, since those are Enterprise items scoped on a call. The closest alternative is Lindy, which prices per user at $29.99 and sells more as an assistant layer; Construct's pitch is a workspace with a desktop, files and run history rather than a chat thread. In practice we'd start
Limitations
- Plan caps scale from Lite (2 agents, 50 steps per task, 3 scheduled tasks, 5-minute command runtime, 100 MB storage) to Starter (5 agents, 150 steps, 10 scheduled tasks, 30-minute runtime, 1 GB) to Pro (15 agents, up to 1,000 steps per task, 50 scheduled tasks, 1-hour runtime, 3 GB).
- Enterprise items — SSO, private deployment, and custom MCP — are scoped on a call rather than listed with a price.
- Files and memory persist across sessions, but live browser runs and shell state do not survive the end of a conversation.
- The vendor's own blog warns that a 95% reliable agent finishes a 48-step job only 8.5% of the time, so long jobs depend on resumable runs.
- Public registry submissions for agent-authored workspace apps are not yet active.
as of 2026-10-10
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Is Construct Computer still active?
Construct Computer is live · pricing from $9/mo · last verified 30 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is Construct Computer? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What's new in Construct Computer
Checked todayAcross the latest 3 updates: 3 news mentions.
How we made construct.computer readable by AI agents
Construct published a post on making its site readable by AI agents: Markdown twins, content negotiation, llms.txt, robots.txt signals and keyless APIs.
Is Construct Computer safe? What it stores, what its agents can reach
Construct published a governance post on what its product stores, what its agents can reach, and where protection stops. The post says stored keys are encrypted.
Activity log vs audit log: what an AI agent should record for a small team
Construct published a post on agent activity logs versus audit logs, stating its Activity feature keeps records for 30 days and listing what it leaves out.
What do users say about Construct Computer?
What people actually say about Construct Computer — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
Researched56 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Lemmy) · researched Aug 24, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +Persistent, observable agents feel more trustworthy than black-box API calls.
- +Real-time desktop OS frontend makes it easy to watch agents work.
- +Handles multi-step workflows across apps, not just scripted automations.
- +Natural language delegation suits non-technical busy professionals.
- +Launch excitement shows strong interest in the agent-native concept.
- −No public pricing or free tier to test before committing.
- −No independent reviews or hands-on tests to verify claims.
- −Lack of integration details limits usefulness in existing stacks.
- −Early-stage product likely lacks enterprise features like SSO.
- −Competitors like Grok Bot already have more mature ecosystems.
- • No free tier means you may pay for a trial period or be locked into a contract.
- • Potential per-seat or usage-based pricing could inflate costs for heavy use.
How we verified this
Every listed fact about Construct Computer— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 30 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Construct Computer 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed integrations, who it suits, pricing tiers, who should skip it, summary, description, features, our verdict
- — changed platforms, pricing page
- — changed features, pricing tiers, summary, our verdict, description
- — changed features, our verdict, pricing tiers, who should skip it, description, summary
- — changed pricing page, platforms, limitations
- — changed who should skip it, pricing fit, setup time, description, use cases, our verdict, summary, features, who it suits, hidden costs, integrations, limitations, switching in, switching out, pricing tiers
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Construct Computer cost in 2026?
Construct Computer: Plans from $9/mo. Pricing last verified 30 Oct 2026.
Plans compared
Every published Construct Computer tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Lite | $9/mo | monthly | Solo founder testing one recurring job — research, a single inbox, or one scheduled report.Adds: Starting tier at $9/mo month-to-month or $7.50/mo billed annually: 2 agents, 50 steps per task, 3 scheduled tasks, 5 min command runtime, 100 MB storage. |
| Starter | $59/mo | monthly | Small team running several schedules and delegating inbox or CRM follow-through.Adds: Adds 6× Lite usage, 5 agents, 150 steps per task, 10 scheduled tasks, 4 parallel background jobs and 30 min command runtime. |
| Pro | $299/mo | monthly | Teams whose longest workflows genuinely exceed 150 steps and need parallel jobs running at once.Adds: Unlocks deep runs up to 1,000 steps, 15 agents, 50 scheduled tasks, 8 parallel background jobs, 1 hr runtime, and bring-your-own model keys. |
| Enterprise | Custom | quote | Organizations that need SSO, isolated workspaces, private deployment or custom MCP.Adds: Includes Pro plus isolated per-workspace deployment, your own model keys, workspace excluded from training data, and deletion on demand — scoped on a call. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Construct Computer's pricing actually pencils out — and where peers do it cheaper.
Cheaper than Lindy, which starts at $29.99 per user, and far cheaper than running ChatGPT Dots, which the vendor says needs a $100-$200 ChatGPT Pro plan. Lite at $9/mo month-to-month ($7.50/mo billed annually) fits a solo founder testing one recurring job; Starter at $59/mo ($39/mo billed annually) fits a small team running several schedules; Pro at $299/mo ($199/mo billed annually) is where deep runs up to 1,000 steps live.
Has Construct Computer's pricing changed?
No plan price for Construct Computer has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Construct Computer?
Pick Construct Computer if you are Solo founders who want recurring research, email triage and reporting handled without hiring, Small teams replacing half-finished Zapier automations with versioned, schedulable agent workflows, Ops-minded people who need long multi-step jobs to keep completed steps and resume after failure, Teams that want to describe an internal tool and have a working app published into their desktop.
Look elsewhere if you are Long-running scripts or heavy scrapes — every tier, Pro included, caps command runtime at 5 minutes, Document-heavy teams: cloud storage tops out at 3 GB on the $299 Pro plan, Simple app-to-app triggers that Zapier or Make handles more cheaply, Anyone who plans to let payment or customer-email steps run fully unattended.
Skip it if Skip Construct if your work is short app-to-app data passing that a trigger-action tool already handles, or if you need your longest jobs to run on a $9 tier.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Construct Computer actually fits — and what changes day-one when you adopt it.
Give the agent its own email address, then set a scheduled workflow that reads the inbox, drafts replies for the routine threads, and posts a daily summary into Slack.
Outcome: Inbox triage happens before you open your laptop, and you review a run history instead of re-reading every thread.
Encode a weekly competitor research workflow with agent steps and a notification, version it, schedule it, and let any teammate re-run it from the shared workspace.
Outcome: The same cited report gets produced every week without anyone rebuilding the automation or re-explaining the brief.
Describe the internal tool the team needs, let Construct write, validate and publish it into your cloud desktop, then wire it into the workflow that was missing it.
Outcome: A working internal app exists in the workspace instead of living on a backlog.
Use cases
- Delegate recurring research on a topic and get a cited report you can review or share.
- Have the AI track what's running across inboxes and CRMs and finish the loop on multi-step jobs.
- Describe an internal tool your team needs and get a working app published into your cloud desktop.
- Schedule a workflow once and let anyone on the team re-run it without rebuilding the automation.
- Message the agent from Slack or email to kick off a job and check the result history later.
- Give the agent its own email address so inbound work is triaged and routed by policy.
- Run a social content workflow where Construct posts on your behalf.
- Start a task in Zen Mode from your phone and let it finish in the background.
Setup time & first value
How long it actually takes to get something useful out of Construct Computer — broken out by persona, not the marketing-page minute.
Solo founder: minutes to start once you pick a tier, with the first scheduled job typically running the same day. Small team: longer, because shared workspace invitations, roles and per-channel access policies need deciding before you hand schedules to teammates. Teams scoping SSO or private deployment should add a call with Construct before planning a rollout date.
Switching to or from Construct Computer
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier: rebuild each trigger-action recipe as a workflow with agent steps, which lets the agent plan steps and resume rather than fail outright.
- →From ChatGPT or Copilot: move recurring prompts into scheduled workflows so the work runs without you opening a chat.
- →From Lindy: reproduce the assistant's tasks as Construct workflows and schedules, then compare run history and per-user pricing.
- →From delegated Gmail access: switch to the native agent email address with routing and access policies per channel.
- ↗To Zapier: rebuild only the simple app-to-app flows you were running, since scheduled agent workflows won't carry over.
- ↗To Lindy: port recurring tasks to its per-user plans if you need assistants rather than a cloud desktop.
- ↗To ChatGPT-based agents: keep research prompts as chats if you don't need persistent desktop state or run history.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Construct Computer”, and we withheld 6: 6 did not mention Construct Computer. We are showing none, because we could not prove any of them are about Construct Computer.
Official links
What are the best Construct Computer alternatives?
The closest alternatives to Construct Computer we list are Zapier, Lindy and happycapy. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Zapier | Freemium | Pricing not published | — |
| Lindy | Freemium | Pricing not published | — |
| happycapy | Freemium | Pricing not published | — |
Alternatives to Construct Computer
View allTools that pair well with Construct Computer
Common stack mates teams adopt alongside Construct Computer, with the specific reason each pairing earns its keep.
Zapier
Zapier connects 9,000+ apps into no-code workflows, plus one governed MCP connection for Claude, ChatGPT and Cursor.
Lindy
Lindy is an AI employee that runs multi-step agent workflows inside Slack, email, and voice
happycapy
Happycapy is a browser-based agent-native computer that runs tasks in a cloud sandbox and emails you the results.
Construct Computer vs its closest rival
Construct Computer's closest head-to-head is with Genspark — If your priority is cited research synthesis plus a broad AI content suite, Genspark delivers immediate value with a freemium entry and GenOffice open-source expansion. If you need hands-off execution of repetitive multi-step digital tasks, Construct Computer’s virtual worker concept is compelling, but its opaque pricing and lack of integrations demand a sales conversation before commitment. Verdict generated
Head-to-head comparisons
Construct Computer vs Genspark
If your priority is cited research synthesis plus a broad AI content suite, Genspark delivers immediate value with a freemium entry and GenOffice open-source expansion. If you need hands-off execution of repetitive multi-step digital tasks, Construct Computer’s virtual worker concept is compelling, but its opaque pricing and lack of integrations demand a sales conversation before commitment.
GeneratedConstruct Computer vs Spider Cloud
If you're a developer building AI agents or RAG pipelines that need live web data in clean markdown or JSON, Spider Cloud is the clear winner—it offers flexible pricing, deep integrations, and advanced features like Silk and a stealth browser. Construct Computer is aimed at non-technical professionals who want an AI to handle repetitive computer tasks, but its lack of transparent pricing and integrations makes it a harder sell. Choose Spider Cloud for technical web data needs; pick Construct Computer only if you need autonomous desktop-style automation and are willing to contact sales.
GeneratedConstruct Computer vs Air Ai
If you run defense supply chains, Air AI is the only choice—its readiness graph and orchestration are purpose-built for that mission, with hard ROI like compressing materiel release from 15 to 3 months. Construct Computer is for a totally different buyer: a non-technical professional drowning in repetitive digital chores who wants a virtual worker to just do them. Pick based on your problem: military readiness or getting your day back.
GeneratedFrequently asked questions
Topics
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