Project planning for the age of AI
Choose the work that matters. Agents will do the rest.
When ML agents can credibly absorb the execution, the hardest question for a senior team is no longer how to ship — it’s what to ship. ThroughStar is one macro view for ROI, throughline, resourcing, and time. Not a ticket tracker.
Capable agents have flipped the bottleneck. Doing the work used to be the constraint; now it’s choosing the right work. A small team plus capable agents can credibly attempt several times the projects they used to — so the marginal cost of starting the wrong one is up, not down.
Classification of work and time management become the highest-leverage skills left. ThroughStar treats them as first-class data — not metadata — so a highly functional team can spend its finite human attention on the projects that compound.
Vision, pillars, and quarters — in one tree.
The strategic tree expresses what the business is actually trying to do. A vision splits into pillars; pillars split into quarterly objectives. Everything below ladders up.
Projects, weighed against the ones you didn’t pick.
Every project carries commercial value, effort, and ROI. Projects ladder up to a quarterly objective so you can see — at a glance — whether the work in flight actually covers the targets you set.
People × weeks × projects. No theatre.
A simple allocation grid: which member is on which project, which week. Overcommitment is visible. Idle weeks are visible. Tradeoffs move from spreadsheets into one shared view.
Commitments and handoffs. Not tickets.
Tasks here aren’t engineering execution detail. They’re commitments between people — the things you said you’d do, and the things you handed off. Everything else belongs in your tracker.
We’re in a gated beta.
ThroughStar is open to a small number of teams while we shape it with the people using it. Tell us a little about your team and what you’re trying to plan — we’ll provision a workspace by hand and email you a magic-link invite if you’re a fit.