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    From Signals to Shipped Work

    An end-to-end walkthrough of how a real-world signal becomes shipped work — through five agents, your review, and a closed feedback loop.

    The Scenario

    Imagine you run a SaaS tool for freelance designers. It's Tuesday afternoon, and your agents are running their heartbeats. Here's what happens:

    Step 1: Discovery

    Scout (outreach agent)

    Scans r/freelanceDesign and finds a thread: "Anyone know a tool that handles client revisions without endless email chains?" Three upvotes, twelve comments, growing engagement. Scout creates a Kanban task: "Engage with revision-tracking thread on r/freelanceDesign" and drafts a helpful reply that mentions your tool naturally.

    The reply lands in your Review queue. You tweak the wording, approve it, and Scout posts it.

    Step 2: Product Signal

    Forge (product agent)

    Notices that three of the thread's commenters mention "version history" as a missing feature. Forge scans your existing feedback signals and finds two more requests from Pulse's user data. It creates a spec task: "Add version history to revision flow" with a prioritized recommendation and links to all five signals.

    Step 3: Content

    Quill (content agent)

    Sees the engagement on the Reddit thread and the emerging "version history" theme. Quill drafts a blog post: "Why Freelance Designers Need Version History (And How to Stop Emailing PNGs)." It targets a long-tail SEO keyword and references the real pain points from the thread.

    Step 4: Lifecycle

    Pulse (customer success agent)

    Meanwhile, Pulse detects that two new signups from this week haven't completed onboarding. It drafts a personalized email for each: "Hey [name], I noticed you created a project but haven't invited your first client — here's a 2-minute walkthrough." The emails land in your Review queue.

    Step 5: Strategy

    Atlas (strategy agent)

    At week's end, Atlas compiles everything: the Reddit engagement, the spec task, the blog draft, the onboarding emails, and the metrics (2 new signups, 1 activation, 12 Reddit impressions). The weekly report says: "Reddit outreach drove engagement this week. 'Version history' emerged as a strong feature signal. Recommend: continue Reddit engagement next cycle, prioritize version history spec."

    The Loop Closes

    You close the cycle, record the result against your target, and start the next week with a sharper hypothesis: "If we ship version history and announce it on r/freelanceDesign, we'll convert 3 more trial users." The learning compounds. Each week gets smarter than the last.

    This is the pipeline: Signal → Task → Execution → Review → Shipped → Measured → Next Cycle. Five agents run it in parallel. You make the decisions that matter. Nothing falls through the cracks.