Use cases
Pick one job your agent does every day. Train that.
Spark works best on a clear, repeatable task with real examples.
Good first jobs
Good first jobs share three things.
- 01
You can show what good and bad look like.
- 02
Mistakes cost something.
- 03
The work repeats often enough to be worth training.
By audience
One job, trained well.
One person
Solopreneurs
You are one person. Your agents are your team. Make the one that matters most better.
- Lead sorting
- Reply drafter
- Onboarding guide
- Content checker
Small teams
Shared agents your team can trust, with a person who approves what goes out.
- Lead sorting
- Business development drafter
- Onboarding agent
- Process review
- Support triage
Big businesses
Review agent changes on machines you control.
- Qualification and routing agents
- Careful drafters
- Internal ops gates
- Review assistants
Sales, support, ops, content or review? See how each team could use it
Before you start
What makes a good first agent
- One clear job, done often.
- You can show good and bad examples, including tricky cases.
- A wrong answer costs something, so waiting for a proven upgrade is worth it.
- A person still approves anything that goes out.
In any audience
What you get from training
- Better instructions for the agent, as readable text you can review.
- A current best you can trust, plus a record of every round: upgrade ready, nothing changed, or not proven. You approve every upgrade.
- Evidence: what the reviewers preferred, and how it did on the hidden test.
- A record of changes to review.
Everything here is an example of what you could train, not a customer story or a measured result. Spark Loops has no published results yet.
Pick one job. Make it better, for real.
Mac and Windows, early access. Free during early access.