Your projects aren't linear. Your tools shouldn't be either.
AI project management — from one sentence to a full dependency map.
Not another flat backlog. A planning layer that turns intent into a dependency-aware execution graph, with AI, departments, and GitHub built in.
Describe goals in natural language. Ravel proposes departments, tasks, and dependencies in minutes, not days of manual ticket breakdown.
AI decomposition guide →Parallel work with real blockers. See the critical path, not priority debates on a flat, sorted queue.
Dependency graph guide →Multi-team structure at plan time: owners, leads, and cross-functional QA aligned before anyone starts building.
See departments in the demo →When upstream work finishes, dependents become ready without status sweeps or backlog grooming.
See the dependency map → Dependency-aware sprint planning →Commits and pull requests feed task progress so execution signals stay tied to the graph, not a stale board.
View commit history → GitHub project tracking guide →AI assesses real task progress from signals, advances status when appropriate, and proactively warns when dependencies stall or delivery risk appears before someone discovers a blocker on a board.
Four steps from a sentence to a living execution graph, with the right signals for how each task actually finishes.
Share goals, scope, and constraints in natural language.
Review the dependency graph (a map of which tasks block which) with your team.
For tasks that complete by shipping code, connect the repository and install the webhook.
As upstream work lands, dependent tasks unlock for the right owners without a weekly unblock-the-board ritual.
Four common profiles. Each card links to the part of the demo that matters most.
Leading 5-20 engineers
“I spend more time syncing status than actually building.”
Cross-team dependencies stay opaque until something blocks the launch. Ravel's graph and stall alerts show who's waiting on whom before your standup does.
See the dependency map →Coordinating eng, design, QA, and ops
“Our work is not a queue. It branches, merges, and blocks in three places at once.”
When handoffs cross departments, a flat backlog hides the real DAG. Ravel keeps parallel tracks, merge points, and blockers on one graph so nothing waits on the wrong assumption.
See departments on the graph →Wearing PM and architect hats
“I'm the PM, the architect, and the on-call engineer.”
Turn one sentence into an executable plan without standing up Jira. Keep architecture, ownership, and dependencies explicit while everyone wears multiple hats.
Watch AI decomposition →Bridging eng and product
“I write tickets. Engineers ignore them. We repeat.”
GitHub-backed progress shows what actually merged, not what the last standup claimed. Align on the graph so plans and reality finally match.
See GitHub-backed progress →Turn one sentence into departments, tasks, and dependencies — then let GitHub signals and AI keep the graph honest.
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