Situation

You want Specky to work while you sleep. Every morning, instead of triaging raw notifications across 6 tools, you want to open one inbox with confidence-scored drafts ready to approve.

What you need

  • At least one integration connected (Slack or Jira recommended)
  • A workspace with some signals already indexed
  • 5 minutes to review the agent's output settings
  • Steps

    1. Connect your integrations

    The more signals the agent has, the better the morning output. Connect in priority order:

  • Slack — highest signal density; threads surface the most opportunities
  • Jira — gives the agent context on open tickets and sprint state
  • Gong — adds call transcripts for customer signal
  • GitHub — adds PR activity for execution context
  • Go to Settings → Integrations and connect via OAuth.

    2. Understand what the agent does overnight

    Every night, Specky's agent:

  • Reads all new signals since your last review (Slack threads, Gong calls, Jira updates, GitHub PRs)
  • Cross-references them with your OKRs and open opportunities
  • Identifies clusters — groups of signals pointing at the same problem
  • For each cluster above a confidence threshold, drafts a PRD, stages tickets, or queues an Alex campaign
  • Queues all of these in your PM Inbox with confidence scores
  • 3. Review your first inbox

    Open PM Inbox the morning after connecting. Each item shows:

  • Type — PRD draft, ticket batch, research campaign, or competitive alert
  • Confidence score — how strongly the agent believes this is worth your attention
  • Evidence — the specific signals that triggered this item (click to expand)
  • Action — Approve, Edit, Discard
  • 4. Calibrate with feedback

    The agent learns from your approvals and discards. If you discard three consecutive alerts about a particular signal type, it reduces the weight of that signal. If you approve a particular pattern consistently, it raises confidence for similar items.

    To give explicit guidance: open AI Chat and say: `` For the PM Inbox agent: prioritise signals from #product-feedback Slack channel and de-prioritise GitHub PR activity unless it's in the checkout service. `

    5. Set notification preferences

    Go to Settings → Notifications and configure:

  • Morning digest — email summary of the inbox at 8am your timezone
  • High-confidence alerts — immediate push notification when confidence > 0.9
  • Weekly synthesis — Friday afternoon recap of all approved items
  • Output

    Every morning:

  • 2–5 confidence-scored inbox items
  • Drafted PRDs ready for review (not raw data dumps)
  • Staged Jira tickets with acceptance criteria
  • Queued Alex interview campaigns for open questions
  • Variations

    Lean team? Set the confidence threshold higher (0.85+) so only the strongest signals surface. You'll get fewer items but higher quality.

    High-volume? Set up a Custom Workflow to run a nightly synthesis of just your #support Slack channel and deliver a summary — separate from the main inbox.

    Want to see the raw work? Open Product Graph and filter by created_at: last 24h` to see every node the agent created overnight.