Sprint planning takes half a day. You sit with your prioritized opportunities, break them into stories, estimate effort, account for capacity and tech debt, and move pieces around until something resembles a plan. By the end you are exhausted and have forgotten half the context that made these opportunities matter. The Sprint Planning agent does this on Monday mornings and hands you a proposed plan to review in 30 minutes instead of 4 hours.
What the agent does, in sequence
Story generation: for each opportunity, the agent writes specific user stories, not generic ones. "As a segment user, I can do X, so that outcome," with acceptance criteria and technical tasks. Effort estimation: using historical velocity and similar past stories, it estimates story points and flags the estimates that feel risky. Sprint composition: it fits stories into the sprint respecting team capacity, committed tech debt time, and dependencies. It surfaces the trade-offs out loud, like "if we do opportunity A, we have to do tech debt B first, that is 13 points, we have 21 capacity, so we can add one more opportunity." Explanation: for each plan, it explains why these opportunities made the cut, why not the others, and what got traded off.
The confidence score is the useful part
The output is not just a plan. It carries a confidence score, a percentage probability that the team completes the sprint as planned, based on historical velocity, estimate uncertainty, and dependency risk. It also lists which specific stories are most likely to slip and what would have to happen for the plan to succeed. That is more useful than a static estimate because it makes the risk explicit before the sprint starts, not after.
Five inputs
To run well the agent needs five things: prioritized opportunities, ideally from the Opportunity Prioritization agent; Jira or Linear for the story backlog, historical velocity, and tech debt items; team capacity data including planned time off, support rotations, and committed meetings; feature specs and technical context for realistic estimation; and previous sprints for velocity and estimation patterns. The plan comes out ready to load into Jira and start working.
The payoff is real: planning takes 30 minutes instead of 4 hours, you build what matters instead of whatever the loudest person wanted, the plan respects your team's actual capacity, and you complete sprints more often because they are realistic. It runs weekly on Monday at 9 AM, and you can re-run it ad-hoc when priorities shift mid-sprint. Wire up the five inputs and let it draft your next sprint, then spend your saved hours on the judgment calls it flagged.