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DevTune does not stop at showing metrics. The Actions workspace turns Search Probes, Audit, and AI Demand signals into a working queue of evidence-backed recommendations. The Actions workspace has two main surfaces:
  • Suggestions - Active recommendations that DevTune believes are worth considering now
  • Backlog - Work your team has adopted
Alongside the workspace, the Outcomes stage measures completed work and the impact it created. Open a measured action to inspect its before/after evidence. Alert preferences control digest and immediate notifications.

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Suggestions

Suggestions are evidence-backed recommendations generated from the current state of your project. Each suggestion can include context from:
  • Search Probes prompt and citation performance
  • Competitor movement
  • Audit findings and page readiness gaps
  • AI Demand context where relevant
For each suggestion, you can:
  • Generate brief to create a fuller execution plan
  • Add to backlog to commit the work
  • Use existing asset when you already have a page that should satisfy the recommendation
  • Snooze when the idea is valid but not timely
  • Dismiss when it is not a fit

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Briefs

Generating a brief creates a reusable execution artifact for the action. The brief is designed to answer:
  • What should we make or update?
  • Why does it matter?
  • What evidence supports it?
  • Which existing assets or external pages matter?
Brief generation spends from your account’s single credit balance, which the monthly plan allowance and any purchased packs both fund. Spending takes the expiring allowance first. See Account & Billing Overview for the full credit policy. Briefs are generated when you request them. If a ready brief becomes stale, the existing markdown stays visible until you choose to regenerate it. When project content preferences are enabled, Actions and briefs also respect the project’s allowed and blocked content formats. Teams can use this to avoid formats that do not fit their strategy, such as comparison pages, while still letting DevTune choose the best allowed format for each recommendation.

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Backlog

Backlog contains work your team has chosen to do. This includes:
  • Suggestions adopted from the feed
  • Manual actions created directly by your team
Backlog items move through a simple execution workflow:
  • Backlog
  • In Progress
  • Blocked
  • Done
  • Canceled
Generated actions keep their detail rail in backlog, so you can still review the summary, evidence, and brief after adopting them.

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Outcomes stage

Outcomes help you review what has been completed and what effect it had. Use this view to connect executed work to downstream movement in Search Probes, Audit, AI Demand, and related signals. When you complete an Action, DevTune creates an intervention that monitors the target URL for citation changes. The system tracks whether your content changes resulted in increased AI citations, validating which Actions actually moved the needle.

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How recommendations become work

The usual workflow is:
  1. Review Suggestions
  2. Generate a brief where more context is needed
  3. Move the best items into Backlog
  4. Execute the work
  5. Review completed work in Outcomes

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Alerts and notification history

Outcomes shows measured actions and their results. Project home shows recent activity. Account-level notification settings control which events interrupt you immediately and which ones stay in scheduled digests.

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Accessing the workspace

Inside a project sidebar:
  • Actions opens the actions workspace
  • Outcomes opens the measured-actions stage
  • Project home shows recent activity
Within Actions, you will see:
  • Suggestions
  • Backlog

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Getting Started

  1. Review the Actions workspace - See how suggestions, briefs, and backlog work together
  2. Configure alerts and digests - Decide what should interrupt you
  3. Explore visibility analytics - Validate the evidence behind a recommendation

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Next Steps

  • Working with Actions - Review suggestions, backlog, and the Outcomes handoff
  • Alerts - Set up notifications and digests
  • Explore - Investigate the data behind a recommendation