Scheduling

Reminders do not finish the work

A calendar ping that says 'write the digest' is still a task for a person. The useful version is a job that actually writes the digest at 8am, posts it, and leaves a record of whether it succeeded. Construct's Calendar schedules outcomes: prompts, actions, and workflows, not nudges.

Schedule a job

The cost of leaving it unencoded

  • The reminder assumes you will be free

    Recurring work fails the week the founder is traveling. A notification in a personal calendar does not run the job; it waits for a human who may not be there.

  • Cron without a computer is a hope

    A GitHub Action or a Zap on a timer still needs somewhere to keep files, a browser for the awkward page, and a place to put the output. Most small-team schedules die because the runtime is a laptop that went to sleep.

  • Missed runs vanish

    If Monday's job did not fire, Tuesday's 'did it run?' is a forensic exercise across Slack, email, and a dashboard nobody bookmarked. There is no history, only a feeling that something was late.

What Construct actually does

  • Schedule the job, not the nudge

    Put an agent prompt, a connected-app action, or a whole workflow on the Calendar. Construct runs it on the cloud computer, not on whoever happened to have a tab open.

  • Once or on a cadence

    A one-shot follow-up and a weekly research sweep use the same scheduler. Recurring jobs keep going after the conversation that created them has ended.

  • History is part of the product

    Each run keeps results. You can see what ran, what it produced, and whether a retry happened, without reconstructing the week from chat logs.

  • Missed work gets reconciled

    The scheduler is built to deal with delay instead of depending on an always-on laptop. A job that could not start on time is still a job you can inspect, not a silent skip.

Two pieces from the library that go deeper on this job.

  • AI Employee for Real Business Work

    Meet the AI employee that researches, operates tools, creates files, and runs recurring work from a persistent, supervised workspace.

  • Your agent has a half-life

    Why AI agents keep failing on long multi-step jobs: a 95% reliable agent finishes 48 steps 8.5% of the time. The fix is a resumable run, not a better model.

Why this is the product

  • Long jobs have a half-life

    An agent that is 95% reliable per step still fails most of the way through a long run. Scheduling work on a computer that can resume matters more than adding another reminder.

  • The calendar is next to the files

    Scheduled work writes into the same workspace as Chat, Files, and Workflows. The output is not trapped in an email you will search for later.

  • Coverage without a night shift

    A solo founder cannot watch every job. Scheduling is how the company keeps operating when nobody is in the product.

Schedule a job

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