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Workflows library with workflow cards and run history table
Use Workflows to turn repeated tasks into reliable operations. This page helps you create the workflow, run it, debug it, and schedule it.

Questions this page should answer

  1. Which recurring task should become a workflow first?
  2. Are runs completing with useful outputs, not just green status?
  3. Where should we fix steps, inputs, or schedule to improve reliability?

Before you automate

  • Start with one repeated task your team already does manually.
  • Define the exact output you expect before building.
  • Keep version one short and clear.

What this page gives you

  • A workflow library with reusable cards.
  • Fast creation from templates or from scratch.
  • A full editor for step logic and sequencing.
  • Per-workflow run, execution, and history views.
  • Schedule controls for recurring runs.

How to read the workflow library

In the top section:
  • Each card is one automation.
  • The card title and subtitle tell you the business job.
  • Last or Never run tells you adoption and recency.
  • The three-dot action on cards helps with quick maintenance actions.
Use the table below cards as your global operations feed:
  • Status: run health.
  • AI credits: cost per run.
  • Inputs: confirms run context.
  • Started and Duration: speed and timing consistency.
When a run fails, inspect Inputs first, then step output.

Create workflow (template or scratch)

Create workflow modal with start from scratch and template options
Use Create workflow to start from:
  • Start from scratch for custom logic.
  • Templates for common execution patterns.
Template-first is faster for most teams. Start from scratch only when your flow is unique.

Edit workflow (builder)

Workflow editor with visual step graph and step palette
The editor is where you design and refine execution:
  • Left panel: available step types.
  • Center canvas: step order and flow.
  • Right panel: AI assistant and properties.
  • Top actions: run test, save, and chat-guided edits.
Keep steps explicit. Each step should do one clear job.

Workflow run tab (inputs and output)

Workflow detail Run tab showing inputs and output panel
This is the control panel for a specific workflow:
  • Set run inputs (for example, Current Date).
  • Confirm brand context before run.
  • Click Run workflow to execute.
  • Read final output in the right panel.
Use this view when you need a clean rerun with controlled inputs.

Execution tab (live step progress)

Workflow detail Execution tab showing live step progress
Execution helps you debug in real time:
  • Left side shows each step and status.
  • Right side shows details for the selected step.
  • Running steps reveal where time is spent.
Use this tab to find bottlenecks, stalled steps, or weak step prompts.

Run progress state

Workflow detail showing a step currently running
During a live run, watch for:
  • Step stuck in running too long.
  • Empty or partial step output.
  • Unexpected transitions between steps.
If one step repeatedly slows or fails, simplify that step before scaling schedule.

Workflow history tab (single workflow)

Workflow detail History tab with run status and AI credit usage
Use this tab to review reliability over time for one workflow:
  • Compare run outcomes.
  • Track AI credit trend.
  • Validate cadence against business needs.
  • Re-open older runs for QA checks.
This is the best view for per-workflow quality review.

Schedule a workflow (command action)

Schedule workflow dialog opened from workflow detail actions
From workflow detail actions, open Schedule workflow and define cadence:
  • Daily
  • Weekly
  • Bi-weekly
  • Monthly
  • Inactive
Set schedule only after the workflow is stable in manual runs.

What to automate first

Start with tasks that are frequent and rules-based:
  • Daily or weekly priorities for SEO and content.
  • Content refresh candidate detection.
  • Alerting for major movement or failures.
  • Structured summaries for stakeholders.
Keep one-off strategy prompts in New chat.

What to fix first

If runs are unstable, fix in this order:
  1. Inputs (wrong or missing context)
  2. Step prompt clarity
  3. Step order and dependencies
  4. Schedule frequency
Most failures come from bad inputs or vague step instructions.

Important: Completed status does not guarantee a useful output. Always review output quality before scheduling at scale.

Weekly workflow checklist

  1. Review failed runs.
  2. Check output quality for completed runs.
  3. Improve one weak step in the top-used workflow.
  4. Remove duplicate workflows and keep one source of truth.
  5. Reconfirm schedule only for proven workflows.

Keep in mind

  • Small reliable workflows beat large fragile workflows.
  • Naming matters for discoverability and adoption.
  • A successful status does not always mean useful output.
  • Schedule is an operations tool, not a quality fix.

Where to go next

  • Agents: assign the right specialist to each step
  • Schedule: run workflows automatically
  • New chat: prototype tasks before turning them into workflows