LynaX
AI Agent

Tasks and Automation

Schedule AI work and keep every run visible

Turn repeatable requests into one-time or recurring tasks. Choose the AI Agent, schedule, data, and connected tools, then review execution state and history from one place.

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Repeatable execution

Move recurring work out of manual checklists

Define the outcome once, give the task the right schedule and access, and keep the execution record available for review.

  1. 01

    Assign the task

    Describe the result, select an AI Agent, and attach the data or tools the work is allowed to use.

  2. 02

    Set when it runs

    Run the task once at a chosen time or place it on a recurring schedule that matches the workflow.

  3. 03

    Review every run

    Track scheduled, active, completed, and failed runs, then open the output or adjust the task when needed.

Automation in practice

Reliable recurring work with a visible owner and state

Use scheduled AI work where a clear request, data boundary, and reviewable output can replace repeated manual effort.

Recurring summaries and reports

Prepare weekly or monthly summaries from approved data and keep each output available for the team.

Operational monitoring

Review changes, exceptions, or activity on a schedule and surface the findings for follow-up.

Scheduled research

Refresh market, competitor, or topic research at a defined cadence using the sources the task can access.

Connected operational tasks

Define the outcome once, give the task the right schedule and access, and keep the execution record available for review.

More AI Agent capabilities

Keep the work in one connected workspace

AI AgentBuild websites, documents, analyses, and automated work from one conversation.Standardize workflowsUse Skills where a clear method should be available to more than one conversation or Agent.Connect toolsConnect one application, assign only the tools required, and let AI work within the permissions you control.

Give recurring work a schedule and a clear execution history

Start with one repeatable task, connect only the context it needs, and review the result after every run.