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Use cases · Small teams
Shared agents your team can trust, with a person who approves what goes out.
Shared agents, real examples and a person who approves each change.
Examples of what you could train. Not customer stories, and not measured results.
Examples
Agents you might train.
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Lead sorting
Sort incoming leads by fit, with a reason.
Why train itUse real outcomes to see whether the sorting is useful.
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Business development drafter
Draft outreach and follow-ups.
Why train itDrafts only. Training targets draft quality.
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Onboarding agent
Kick off onboarding only after a positive reply or booked meeting.
Why train itClear triggers, trained on real examples.
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Process review
Check whether a proposed change to a process should be kept.
Why train itA person still decides whether the change is worth keeping.
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Support triage
Route tickets and draft first responses.
Why train itTricky examples catch risky answers before they reach customers.
After training
What you'd get
- Agents the whole team can read, review and improve.
- A clear record of each version, and your approval when one is ready.
- Real outcomes, such as how leads turned out, help you assess the work.
Day one
How you'd start
- Agree on one shared job and who owns its examples.
- Write down the mistakes the team fears most.
- Choose reviewers from different companies.
- Train on one machine, and share the version you approve.
Guardrails
Guardrails that matter here
- New agents start in draft-only mode until someone on the team allows more.
- Read results in context, including the examples used.
- You own the examples and approve every upgrade.
Opportunities
Where it can go next.
Outside helpers
Connections to outside helpers are coming soon.
Pick one job. Make it better, for real.
Mac and Windows, early access. Free during early access.