An AI team cuts token spend 30% by shutting down a dropped bet
The founders dropped an experiment after a new model came out. One team never heard and kept running evals. The next check-ins showed it, and monthly token spend fell 30%.
No agent, no human left on old context
Every new model changes your roadmap. Decided checks in with everyone each week and shows you which people and agents are still burning tokens on last week's plan.
"Every model drop, we re-plan. And every time, someone's still on the old plan. Usually the agents too. With Decided, I see it that week, and we act on it right away." How Decided helps:
Founder & CEO, Series A AI company
Illustrative exampleA new model drops. Everyone switches.
Your roadmap changes every time a new model lands. Changing it is easy. Getting every person and every agent onto the new plan is the hard part.
Get the whole team onto the new plan
A new model drops and you change the roadmap in a day. Decided asks everyone what they're working on, so by the end of the week you know who switched and who's still building the old thing.
Keep your agents in context
Agents only know what you told them. When the plan changes twice a week, their rules and prompts don't. Decided shows what changed this week and who has to update the agents.
Keep your model spend under control
Your team burns tokens all day. Some of that spend goes to bets you already dropped, because one team never heard. Decided shows who's still burning tokens on the old plan, so you stop paying for it.
Win the AI race as one team
Clara, Decided's AI interviewer, has a short voice check-in with each person every week. No status updates, no forms. She asks what changed, what's stuck and what needs a decision. Decided puts the answers together and shows you where the team is.
After every change you see, team by team, who's on the new plan, who's still on the old one, and whose agents are behind.
What changed, what's stuck, which decisions are waiting on you, and which agents need new rules. Ready before your planning meeting.
At the next check-in Clara asks if the decision was made and who owns the next step. It stays open until it's done, so a call made in Slack reaches every person and every agent that needs it.
How AI-native teams use Decided
An AI team moves every person and agent to a new plan in one sprint
The roadmap changed twice in a month. Check-ins showed two teams' agents still working from old rules. Each update got an owner, and the next sprint ran on the current plan.
Built for teams that hate status updates
- ✓No forms. People talk to Clara for 15 minutes a week. Nobody writes an update.
- ✓More output, not more people. See if you're short of people or short of one decision before you hire.
- ✓Patterns, not transcripts. Founders see what's going on across the team, never what one person said.
- ✓Not performance scoring. Decided doesn't rate or rank anyone.
- ✓Calendar only. Check-ins land in Google Calendar or Outlook. Nothing else to install.
- ✓You make the calls. Decided shows what's going on. The founders decide.
The next model is hours away
Your roadmap will change again soon. If the last change hasn't landed, the next one piles on top, and the team keeps burning tokens on both. Start before the next model drops.
What AI founders ask us
We're small and fast. Isn't this just process we don't need?
No meetings, no forms. If you still talk to everyone every day and every change reaches the whole team at once, you don't need it yet. Once that stops being true, you do.
Our engineers hate status updates. Will they do this?
Nobody writes anything. It's 15 minutes of talking to Clara each week.
Does Decided connect to our agents or our code?
No. Decided learns from the check-ins. It shows what changed and who has to update the agents. Your team makes the change.
Our roadmap changes all the time. Won't this go stale?
Check-ins happen every week, so you always see whether the last change landed before you make the next one.
Can the founders read what people said?
No. You see patterns across the team, not anyone's answers.
What do we need to connect?
Your calendar: Google or Outlook. You upload your org chart.
Where do we start?
With the people your next change affects. One round of check-ins, one brief, then you decide.
Stay small. Ship big.
One call to pick the people. Then you see who moved with the last change.