Planning is where AI delivers the most immediate value. Instead of spending hours breaking down work, you can generate comprehensive project plans in minutes.

Breaking Down Epics into Tasks

"Break down this epic into user stories with acceptance criteria: [epic description]. Use the format: As a [user], I want [goal], so that [benefit]. Include edge cases and technical considerations."

Effort Estimation

"Estimate the effort for each of these tasks using t-shirt sizing (XS, S, M, L, XL). Consider: complexity, uncertainty, dependencies, and testing needs. Explain your reasoning for each estimate."

Sprint Planning

"Given these user stories with their estimates, plan a 2-week sprint for a team of [X] developers. Consider: team velocity of [Y] story points, no more than 2 large items per sprint, leave 20% buffer for bugs and support."

Dependency Mapping

"Analyze these tasks and identify all dependencies. Create a dependency graph showing which tasks must be completed before others can start. Flag any circular dependencies or critical path items."

Risk Identification

"Review this project plan and identify the top 5 risks. For each risk, provide: likelihood (low/medium/high), impact (low/medium/high), early warning signs, and mitigation strategies."

Project Timeline Generation

"Create a Gantt-style timeline for this project. Include milestones, deliverables, and buffer time. Assume [team size] and [sprint length]. Flag any phases that are at risk of delay."

Best Practices

• Always review AI estimates against your team's historical velocity
• Use AI-generated plans as starting points, not final plans
• Include your team in the estimation process — AI provides a baseline
• Re-run planning prompts as scope changes to keep plans updated
• Save successful planning prompts as templates for future projects