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The Workflow Runs page is your real-time log of every integration execution inside Lighthouse. Every time a connected app sends an event — a new HubSpot deal, an updated contact, a completed order — Lighthouse creates a workflow run record that you can inspect, filter, and replay.
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Workflow Runs — the full execution log for your integrations

Use this page to answer three core questions:
  • Did my integration run successfully?
  • If something went wrong — which step failed and why?
  • Can I replay a run without waiting for the next trigger?

Reading the Runs List

Each row in the table represents a single workflow execution.

Run Status Reference


Row Controls

Every row has three interactive controls on the right-hand side. Together they give you full visibility and recovery capability without leaving the page.
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Row controls — Explain (speech bubble), View (eye), and Actions menu (three dots)

Explain

Click the speech-bubble iconGenerates a plain-English AI summary of the run — what happened, which step failed, and likely cause. Use this first before reading technical logs.

View

Click the eye iconOpens the full Workflow Run detail page — event payload, step-by-step execution log, duration, and the Re-run button.

Actions

Click the three-dot menuDropdown with two options: Retrigger (replay the run) and View (same as the eye icon).

💬 The Explain Button

Clicking the speech-bubble icon on any row generates an AI-powered plain-English explanation of that run — no JSON reading required.
Use Explain first on any failed run. It will tell you which step failed, why it failed, and whether you need to fix something in your source system before retriggering.
The explanation typically covers:
  • Which step succeeded or failed
  • The specific reason for the failure (e.g. a missing required field, an API authentication error, or a duplicate record check)
  • Whether the failure is likely to resolve on retrigger or requires a data fix first
The Explain button is also available on the individual Run Detail page, positioned alongside the step logs so you can read both together.

👁 The Run Detail Page

Clicking the eye icon — or selecting View from the Actions menu — opens the full detail view for that run.
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Workflow Run detail page — metadata header, event block, step execution log, and event payload panel

Run Metadata Header

The top section shows everything you need to know about the run at a glance.

The Re-run Button

The blue Re-run button in the top-right replays the run using the original stored event payload.
Re-run uses the data captured at the time of the original run. If the source record in HubSpot has been updated since then, Re-run will execute using the old data — not the current values. Use Retrigger from the Actions menu if you want to re-fetch the latest record from the source system.

The Event Block

The Event block identifies what triggered this run:
  • Event ID — the internal ID of the incoming event that caused the workflow to start
  • Type — the event category (e.g. other, contact.created, deal.propertyChange)
  • Click to view details — expands the raw event payload panel on the right, showing the full JSON data Lighthouse received from the source app

Steps — The Execution Log

The Steps section shows each action inside your workflow in sequence.
When a run fails, scroll through the Steps list to find the first step with a red status — that is where the problem occurred. Expand it using Click to view details to read the error message and the data that was passed into that step. This almost always reveals the root cause.

Event Details Panel

The right-hand panel shows the raw JSON payload of the selected event or step — the exact data Lighthouse received from or sent to the connected system. Use this panel to:
  • Verify that the correct HubSpot deal properties were captured
  • Check that field values match what your destination app (e.g. Xero) requires
  • Copy the payload to share with the Cloudify support team

The Actions Menu

Click the three-dot menu on any row to access two actions: Retrigger and View.
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Actions menu — Retrigger and View options

Retrigger vs Re-run — Which to Use

Retriggering a run that already succeeded will create a second execution. For workflows that create records in Xero or other destination systems, this may produce duplicate entries. Always confirm the original run failed or produced incorrect output before retriggering.

Customising the Table View

Click View in the top-right corner of the Workflow Runs list to open the Toggle columns panel. Use it to show or hide columns based on what you need.
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Toggle columns panel — customise which fields are visible in the runs list

Recommended default: Enable Id, WorkflowName, Status, and StartedAt. Add Mode during active testing to clearly separate sandbox runs from production runs in the list.

Filtering Runs

Use the filter bar at the top of the list to narrow down what you see.
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Quick Reference — Common Scenarios

  1. Click 💬 Explain (speech-bubble icon) on the row for a plain-English summary.
  2. Click 👁 View (eye icon) to open the detail page.
  3. In the Steps section, find the first step with a red status.
  4. Expand it using Click to view details to read the error message.
  5. Fix the root cause in the source system (e.g. HubSpot), then use ⋯ → Retrigger.
Use ⋯ → Retrigger from the Actions menu. This re-fetches the latest record from HubSpot and runs the workflow from scratch using the updated data. Do not use Re-run — it replays the original (now outdated) payload.
Open the detail page using 👁 View and click the blue Re-run button. This replays the original event payload without re-fetching from HubSpot — correct when the data was fine but the execution failed transiently.
In the filter bar, set Status to Failed and click Pick a date to select the relevant date. The list will show only failed runs from that day.
Open the detail page using 👁 View. In the Steps section, find the step that writes to Xero (e.g. create-xero-invoice). Expand it using Click to view details. The right-hand Event Details panel shows the exact output data that was sent.
Open the detail page and note the Run ID from the metadata header. In the Event Details panel, copy the relevant payload using the copy icon. Include both the Run ID and the payload in your support ticket — this lets Cloudify investigate immediately without additional back-and-forth.
Pending means the run is queued and waiting for Lighthouse to start processing it. This is typically temporary — refresh the page after a few moments. If a run stays Pending for an extended period, raise a support ticket.